Nubeprint incorporates AI into the help and support service. Any Nubeprint customer will be able to ask and solve in real time their doubts about the system or even seek advice on how to optimize the management of their printer fleet to reduce the environmental impact, all this in a direct and simple way. Do you want to know how…?
Did you know …….?
Nubeprint’s Shipping Forecast app is more reliable than an ERP sales forecast.
We measure more and more: the temperature outside, the temperature at home, the steps we walk, the “likes” on our profile? We measure out of necessity, to feel comfortable or out of curiosity. But using one or another formula to measure the same concept can have dramatic consequences, as the printing and MPS industry has seen during the pandemic. Do you think that a sales forecast based on ERP data is the same as one based on information from Nubeprint?
In cost-per-copy MPS (Managed Print Services) contracts, the performance of the contracts is directly dependent on the performance of the inputs. As with transport vehicles, when one of the consumables runs out, the printer stops working.
But cartridge yield exists whether the printer is on an MPS contract, is owned, or the distributor merely sells cartridges. To meet all the customer’s needs, there are only two ways: to have a huge stock or to know them in advance.
The former is economically unfeasible. This is why distributors have been using forecasts based on their historical sales to estimate their future sales, which is provided by any ERP.
During the pandemic, many customers went out of business and, in just 24 hours, the distributor found not only that its turnover plummeted, but also that its warehouses were full of cartridges that no one was going to order for months. And even worse, when in the following months he asked his ERP for volume forecasts to manage his warehouse and his purchases, the ERP indicated quantities of cartridges that he was obviously not going to be able to sell in the short term.
One year after the pandemic, the ERP has continued to give erroneous purchasing forecasts. This time, because its calculation was affected by the exceptional drop in sales in the previous period. As the printer fleet also changed abruptly (A3 printers “disappeared” from demand), these forecasts based on increasing cartridge sales for A3 models failed to adapt to the new reality.
Could this have been avoided? Of course, the pandemic-related shutdown was unforeseeable. But once it happened, many distributors were able to mitigate the adverse effect by basing their purchasing forecasts on the short-term needs of their customers measured in real time.
When a reseller uses Nubeprint, the “Shipping Forecast” app tells them, up to 90 days in advance, which cartridges and how many of each cartridge they will need to serve to each of their customers to keep the printers they actually have up and running. So, during the pandemic, stocks were conveniently sized to meet an actual demand for a period of typically 15 to 30 days, with a much tighter stock.
But, once the shutdown occurs, the new forecast provided month after month by Nubeprint’s “Shipping Forecast” app immediately reflects the plummeting consumption, as well as the change in fleet type where A3 models give way to A4. The distributor using Nubeprint has therefore managed the economic consequences of the pandemic much better, with optimized initial stock and much faster demand adjustment.
Nubeprint monitors in real time to identify when each input for each machine in question is going to run out, so that the distributor can buy knowing with a high degree of certainty what, when and to whom it will sell each cartridge.
Source: Nubeprint
But cartridge yield exists whether the printer is on an MPS contract, is owned, or the distributor merely sells cartridges. To meet all the customer’s needs, there are only two ways: to have a huge stock or to know them in advance.
The former is economically unfeasible. This is why distributors have been using forecasts based on their historical sales to estimate their future sales, which is provided by any ERP.
During the pandemic, many customers went out of business and, in just 24 hours, the distributor found not only that its turnover plummeted, but also that its warehouses were full of cartridges that no one was going to order for months. And even worse, when in the following months he asked his ERP for volume forecasts to manage his warehouse and his purchases, the ERP indicated quantities of cartridges that he was obviously not going to be able to sell in the short term.
One year after the pandemic, the ERP has continued to give erroneous purchasing forecasts. This time, because its calculation was affected by the exceptional drop in sales in the previous period. As the printer fleet also changed abruptly (A3 printers “disappeared” from demand), these forecasts based on increasing cartridge sales for A3 models failed to adapt to the new reality.
Could this have been avoided? Of course, the pandemic-related shutdown was unforeseeable. But once it happened, many distributors were able to mitigate the adverse effect by basing their purchasing forecasts on the short-term needs of their customers measured in real time.
When a reseller uses Nubeprint, the “Shipping Forecast” app tells them, up to 90 days in advance, which cartridges and how many of each cartridge they will need to serve to each of their customers to keep the printers they actually have up and running. So, during the pandemic, stocks were conveniently sized to meet an actual demand for a period of typically 15 to 30 days, with a much tighter stock.
But, once the shutdown occurs, the new forecast provided month after month by Nubeprint’s “Shipping Forecast” app immediately reflects the plummeting consumption, as well as the change in fleet type where A3 models give way to A4. The distributor using Nubeprint has therefore managed the economic consequences of the pandemic much better, with optimized initial stock and much faster demand adjustment.
Nubeprint monitors in real time to identify when each input for each machine in question is going to run out, so that the distributor can buy knowing with a high degree of certainty what, when and to whom it will sell each cartridge.
Source: Nubeprint
During the pandemic, many customers went out of business and, in just 24 hours, the distributor found not only that its turnover plummeted, but also that its warehouses were full of cartridges that no one was going to order for months. And even worse, when in the following months he asked his ERP for volume forecasts to manage his warehouse and his purchases, the ERP indicated quantities of cartridges that he was obviously not going to be able to sell in the short term.
One year after the pandemic, the ERP has continued to give erroneous purchasing forecasts. This time, because its calculation was affected by the exceptional drop in sales in the previous period. As the printer fleet also changed abruptly (A3 printers “disappeared” from demand), these forecasts based on increasing cartridge sales for A3 models failed to adapt to the new reality.
Could this have been avoided? Of course, the pandemic-related shutdown was unforeseeable. But once it happened, many distributors were able to mitigate the adverse effect by basing their purchasing forecasts on the short-term needs of their customers measured in real time.
When a reseller uses Nubeprint, the “Shipping Forecast” app tells them, up to 90 days in advance, which cartridges and how many of each cartridge they will need to serve to each of their customers to keep the printers they actually have up and running. So, during the pandemic, stocks were conveniently sized to meet an actual demand for a period of typically 15 to 30 days, with a much tighter stock.
But, once the shutdown occurs, the new forecast provided month after month by Nubeprint’s “Shipping Forecast” app immediately reflects the plummeting consumption, as well as the change in fleet type where A3 models give way to A4. The distributor using Nubeprint has therefore managed the economic consequences of the pandemic much better, with optimized initial stock and much faster demand adjustment.
Nubeprint monitors in real time to identify when each input for each machine in question is going to run out, so that the distributor can buy knowing with a high degree of certainty what, when and to whom it will sell each cartridge.
Source: Nubeprint
Could this have been avoided? Of course, the pandemic-related shutdown was unforeseeable. But once it happened, many distributors were able to mitigate the adverse effect by basing their purchasing forecasts on the short-term needs of their customers measured in real time.
When a reseller uses Nubeprint, the “Shipping Forecast” app tells them, up to 90 days in advance, which cartridges and how many of each cartridge they will need to serve to each of their customers to keep the printers they actually have up and running. So, during the pandemic, stocks were conveniently sized to meet an actual demand for a period of typically 15 to 30 days, with a much tighter stock.
But, once the shutdown occurs, the new forecast provided month after month by Nubeprint’s “Shipping Forecast” app immediately reflects the plummeting consumption, as well as the change in fleet type where A3 models give way to A4. The distributor using Nubeprint has therefore managed the economic consequences of the pandemic much better, with optimized initial stock and much faster demand adjustment.
Nubeprint monitors in real time to identify when each input for each machine in question is going to run out, so that the distributor can buy knowing with a high degree of certainty what, when and to whom it will sell each cartridge.
Source: Nubeprint
But, once the shutdown occurs, the new forecast provided month after month by Nubeprint’s “Shipping Forecast” app immediately reflects the plummeting consumption, as well as the change in fleet type where A3 models give way to A4. The distributor using Nubeprint has therefore managed the economic consequences of the pandemic much better, with optimized initial stock and much faster demand adjustment.
Nubeprint monitors in real time to identify when each input for each machine in question is going to run out, so that the distributor can buy knowing with a high degree of certainty what, when and to whom it will sell each cartridge.
Source: Nubeprint
Source: Nubeprint
Did you know …….?
Big Data overwhelms managers in decision making.
Business leaders are aware of the importance of data and know that good data analysis is critical to the success of their business. However, they feel that they do not have all the necessary tools to achieve this, which affects their confidence and ability to make decisions. Is it better to leave them in the hands of AI…?
A study by Oracle concludes that up to 70% of business leaders globally would prefer AI to choose instead, a study in which more than 14,000 employees and business leaders from 17 countries participated.
Eighty percent of leaders believe that the number of decisions they make each day has increased 10-fold in recent years and, when they must decide, 75% are overwhelmed by the sheer amount of data and different sources, admitting that more than once a day they don’t know what to do.
The study demonstrates the lack of confidence generated by much of this data. Thirty percent have doubts about the reliability of the data and 70% have given up making any decision due to the enormous amount of data to be verified.
80% of those surveyed consider that this inability to make decisions causes anxiety and affects their quality of life, in addition to the loss of opportunities.
Faced with the avalanche of data, it has been detected that 40% only consult sources they trust and 27% go by their intuition. Data must therefore help in the decision-making process or it will no longer be taken into account.
On the other hand, 80% of respondents believe that people often make a decision first and justify it with data after the fact. In addition, corporations often prioritize the opinion of the most senior person over data, and as many as 15% feel that most decisions made in their company are irrational.
Finally, the study concludes that an organization that turns to technology to make decisions based on Big Data and AI is more reliable (87%) and will be more successful (90%). It will also be more likely to obtain investment (85%) and will be more attractive when it comes to attracting talent (90%).
Nubeprint, thanks to its AI engine for MPS and Machine Learning, facilitates decision-making in the management of any printer fleet. Its monitoring system makes it possible to parameterize consumables loading thresholds in % or in days, to have a 90-day forecast of needs, to group the shipment of orders or to know exactly the amount of consumables wasted when installing the new cartridge or toner. The automation of the entire process, controlled from an agile and intuitive control panel, makes Nubeprint a benchmark as a printer monitoring system.
Source: cincodias.elpais.com/ cxo-community.com/ realestatemarket.com/ Nubeprint
Eighty percent of leaders believe that the number of decisions they make each day has increased 10-fold in recent years and, when they must decide, 75% are overwhelmed by the sheer amount of data and different sources, admitting that more than once a day they don’t know what to do.
The study demonstrates the lack of confidence generated by much of this data. Thirty percent have doubts about the reliability of the data and 70% have given up making any decision due to the enormous amount of data to be verified.
80% of those surveyed consider that this inability to make decisions causes anxiety and affects their quality of life, in addition to the loss of opportunities.
Faced with the avalanche of data, it has been detected that 40% only consult sources they trust and 27% go by their intuition. Data must therefore help in the decision-making process or it will no longer be taken into account.
On the other hand, 80% of respondents believe that people often make a decision first and justify it with data after the fact. In addition, corporations often prioritize the opinion of the most senior person over data, and as many as 15% feel that most decisions made in their company are irrational.
Finally, the study concludes that an organization that turns to technology to make decisions based on Big Data and AI is more reliable (87%) and will be more successful (90%). It will also be more likely to obtain investment (85%) and will be more attractive when it comes to attracting talent (90%).
Nubeprint, thanks to its AI engine for MPS and Machine Learning, facilitates decision-making in the management of any printer fleet. Its monitoring system makes it possible to parameterize consumables loading thresholds in % or in days, to have a 90-day forecast of needs, to group the shipment of orders or to know exactly the amount of consumables wasted when installing the new cartridge or toner. The automation of the entire process, controlled from an agile and intuitive control panel, makes Nubeprint a benchmark as a printer monitoring system.
Source: cincodias.elpais.com/ cxo-community.com/ realestatemarket.com/ Nubeprint
Finally, the study concludes that an organization that turns to technology to make decisions based on Big Data and AI is more reliable (87%) and will be more successful (90%). It will also be more likely to obtain investment (85%) and will be more attractive when it comes to attracting talent (90%).
Nubeprint, thanks to its AI engine for MPS and Machine Learning, facilitates decision-making in the management of any printer fleet. Its monitoring system makes it possible to parameterize consumables loading thresholds in % or in days, to have a 90-day forecast of needs, to group the shipment of orders or to know exactly the amount of consumables wasted when installing the new cartridge or toner. The automation of the entire process, controlled from an agile and intuitive control panel, makes Nubeprint a benchmark as a printer monitoring system.
Source: cincodias.elpais.com/ cxo-community.com/ realestatemarket.com/ Nubeprint
Did you know …….?
AI will further accelerate the deployment of Data Centers and many of them will be close to your company.
We are currently experiencing a bombardment of examples of AI summarizing documentation in record time, writing articles or providing opinions on specific issues. All these tasks have in common that the source of the information on which the AI relies is processed information. But it won’t be long before AI will also be analyzing data, interpreting it and advising us. AI is but one piece in the ecosystem needed for this revolution. The other 3 pieces are sensorization, the communications network and data centers, but could the latter become saturated with the massive influx of data and the growing demand for computing?
AI will further accelerate the deployment of Data Centers and many of them will be close to your company.
We are currently experiencing a bombardment of examples of AI summarizing documentation for us in record time, writing articles for us (note: this article was written by humans) or giving us opinions on specific issues. All these tasks have in common that the source of the information on which the AI relies is elaborated information such as manuals, articles or prose content in general. But it won’t be long before AI will also be analyzing data, interpreting it and advising us. AI is only one piece in the ecosystem needed for this revolution. The other 3 pieces are sensorization, the communications network and data centers, but could the latter become saturated with the massive influx of data from sensors (such as CPMs or the Nubeprint app) and the growing demand for computation (for example, to give advice on how to improve margins on cost-per-copy contracts)?
AI, big data and sensorization are all part of the equation in an ecosystem that is changing everything. From managing a factory’s packaging plant, to advising a gift store on what products it should buy to cater for Black Friday sales. Sensorization is about having sensors collecting data at all stages of a production process. But the data often needs to be filtered and polished, and once the veracity and accuracy of the data is guaranteed, it is ready to be used by generative AI. That complex task is what Nubeprint has been devoting its efforts to when in 2017 it introduced its Machine Learning engine.
As the amount of data being collected with sensors grows (the number of printers monitored with the Nubeprint app from the user’s cell phone has grown by 750% so far this year), so have storage and processing needs : this takes place in data centers. If the entire system is structured with a few large data centers, sooner or later there will be a bottleneck in networks and computing resources. For this reason, a more recent trend has been to opt for an IT architecture with distributed computing capabilities in which data centers close to the source (known as edge data centers) coexist with large or giant data centers (located in strategic places where, once the problem of how the data arrives has been solved, the cost of land and, above all, energy is a premium). In this way, data that require immediate processing are treated in Edge Data Centers, while historical data are sent to the larger Data Centers, traveling even thousands of kms. And it is in the latter that tasks that do not require immediacy are executed.
Nubeprint offers a managed MPS solution with dynamic algorithms and filters. In 2013, it developed the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS: through this machine learning, the system develops pattern recognition and the ability to learn continuously, with predictions based on big data, after which it makes the necessary adjustments without having been specifically programmed to do so.
Sources: Nubeprint, Cirion Technologies, ABC
We are currently experiencing a bombardment of examples of AI summarizing documentation for us in record time, writing articles for us (note: this article was written by humans) or giving us opinions on specific issues. All these tasks have in common that the source of the information on which the AI relies is elaborated information such as manuals, articles or prose content in general. But it won’t be long before AI will also be analyzing data, interpreting it and advising us. AI is only one piece in the ecosystem needed for this revolution. The other 3 pieces are sensorization, the communications network and data centers, but could the latter become saturated with the massive influx of data from sensors (such as CPMs or the Nubeprint app) and the growing demand for computation (for example, to give advice on how to improve margins on cost-per-copy contracts)?
AI, big data and sensorization are all part of the equation in an ecosystem that is changing everything. From managing a factory’s packaging plant, to advising a gift store on what products it should buy to cater for Black Friday sales. Sensorization is about having sensors collecting data at all stages of a production process. But the data often needs to be filtered and polished, and once the veracity and accuracy of the data is guaranteed, it is ready to be used by generative AI. That complex task is what Nubeprint has been devoting its efforts to when in 2017 it introduced its Machine Learning engine.
As the amount of data being collected with sensors grows (the number of printers monitored with the Nubeprint app from the user’s cell phone has grown by 750% so far this year), so have storage and processing needs : this takes place in data centers. If the entire system is structured with a few large data centers, sooner or later there will be a bottleneck in networks and computing resources. For this reason, a more recent trend has been to opt for an IT architecture with distributed computing capabilities in which data centers close to the source (known as edge data centers) coexist with large or giant data centers (located in strategic places where, once the problem of how the data arrives has been solved, the cost of land and, above all, energy is a premium). In this way, data that require immediate processing are treated in Edge Data Centers, while historical data are sent to the larger Data Centers, traveling even thousands of kms. And it is in the latter that tasks that do not require immediacy are executed.
Nubeprint offers a managed MPS solution with dynamic algorithms and filters. In 2013, it developed the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS: through this machine learning, the system develops pattern recognition and the ability to learn continuously, with predictions based on big data, after which it makes the necessary adjustments without having been specifically programmed to do so.
Sources: Nubeprint, Cirion Technologies, ABC
As the amount of data being collected with sensors grows (the number of printers monitored with the Nubeprint app from the user’s cell phone has grown by 750% so far this year), so have storage and processing needs : this takes place in data centers. If the entire system is structured with a few large data centers, sooner or later there will be a bottleneck in networks and computing resources. For this reason, a more recent trend has been to opt for an IT architecture with distributed computing capabilities in which data centers close to the source (known as edge data centers) coexist with large or giant data centers (located in strategic places where, once the problem of how the data arrives has been solved, the cost of land and, above all, energy is a premium). In this way, data that require immediate processing are treated in Edge Data Centers, while historical data are sent to the larger Data Centers, traveling even thousands of kms. And it is in the latter that tasks that do not require immediacy are executed.
Nubeprint offers a managed MPS solution with dynamic algorithms and filters. In 2013, it developed the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS: through this machine learning, the system develops pattern recognition and the ability to learn continuously, with predictions based on big data, after which it makes the necessary adjustments without having been specifically programmed to do so.
Sources: Nubeprint, Cirion Technologies, ABC
Sources: Nubeprint, Cirion Technologies, ABC
Did you know …….?
Generative AI increases productivity and product quality.
And the less skilled the worker, the more so. The Nielsen Norman Group study clears up any doubts about this and solves the question of what kind of companies this technology is for. Do you want the answer now? Spoiler Alert: It’s for all companies.
Generative AI increases productivity and product quality. And the less skilled the worker, the more so. The Nielsen Norman Group study clears up any doubts about this and solves the question of what kind of companies this technology is for. Do you want the answer now? Spoiler Alert: It’s for all companies.
All managers spend a lot of free time thinking about how to improve the business: first you must know it, and to know it, you must measure it: measure the time of a process, the time it takes to get paid, the cost of delivering one box versus delivering several… and so on up to hundreds of measurements.
Any management tool worth its salt incorporates hundreds of ratios that are the result of measurements, and companies are measuring more and more. It is essential to measure in order to know the situation and set objectives and strategies to achieve them. Who has not heard of KPIs (management indicators)?
Measuring has long since ceased to be an obstacle. We have data on everything. But at this point, what do we do with this data, and are we making the most of it? Based on what I see around me and sadly, the answer is a resounding no.
The challenge now is to interpret the data in such a way that we can draw conclusions that will help us achieve our objectives. But most organizations lack a professional team capable of interpreting and planning actions that lead to improvement.
It is often frustrating to ask a team trained to do business “as usual” to interpret data to improve their work. This is because a worker becomes particularly good at something by repeating the task rather than by having a critical spirit aimed at constantly improving it. How close to home is the saying “the devil knows best when he is old”.
And if a small or medium-sized organization does not have the human resources to take advantage of data, the long-term problem is that companies with fewer resources will lose competitiveness faster and faster to those that can hire professionals who are willing to pay them for the job if this benefits the organization as a whole. Indeed, these are employees who are more expensive to hire, but whose passage through an organization leaves a trace of cost reduction and service or product improvement.
But generative AI has arrived to provide a new opportunity for companies that do not have access to those “1st division” professionals. The Nielsen Norman Group (NN/g) study (nngroup.com/articles/ai-tools-productivity-gains) reveals the impact of AI from productivity and service excellence approaches. In the conclusions derived from a total of 3 studies in very different positions, an increase in productivity of up to 126% has been obtained, and in all cases an improvement in the quality of the product or service.
Unlike other disruptive inventions that humankind has experienced throughout history, generative AI is deployable in any organization and, guess what, it produces effects almost immediately. In two of the 3 studies conducted by NN/g, they measured the outcome after only one use of the AI tool. And the results speak for themselves: a 59% and 126% increase in productivity, respectively.
Nubeprint implemented its ML (machine learning) engine in 2017, thanks to which the distributor with cost-per-copy contracts or subscriptions has been able to reduce its stock, improve deliveries, reduce incidents, improve its costs, and also gain productivity while increasing customer satisfaction.
Source: Nubeprint / Nielsen Norman Group
All managers spend a lot of free time thinking about how to improve the business: first you must know it, and to know it, you must measure it: measure the time of a process, the time it takes to get paid, the cost of delivering one box versus delivering several… and so on up to hundreds of measurements.
Any management tool worth its salt incorporates hundreds of ratios that are the result of measurements, and companies are measuring more and more. It is essential to measure in order to know the situation and set objectives and strategies to achieve them. Who has not heard of KPIs (management indicators)?
Measuring has long since ceased to be an obstacle. We have data on everything. But at this point, what do we do with this data, and are we making the most of it? Based on what I see around me and sadly, the answer is a resounding no.
The challenge now is to interpret the data in such a way that we can draw conclusions that will help us achieve our objectives. But most organizations lack a professional team capable of interpreting and planning actions that lead to improvement.
It is often frustrating to ask a team trained to do business “as usual” to interpret data to improve their work. This is because a worker becomes particularly good at something by repeating the task rather than by having a critical spirit aimed at constantly improving it. How close to home is the saying “the devil knows best when he is old”.
And if a small or medium-sized organization does not have the human resources to take advantage of data, the long-term problem is that companies with fewer resources will lose competitiveness faster and faster to those that can hire professionals who are willing to pay them for the job if this benefits the organization as a whole. Indeed, these are employees who are more expensive to hire, but whose passage through an organization leaves a trace of cost reduction and service or product improvement.
But generative AI has arrived to provide a new opportunity for companies that do not have access to those “1st division” professionals. The Nielsen Norman Group (NN/g) study (nngroup.com/articles/ai-tools-productivity-gains) reveals the impact of AI from productivity and service excellence approaches. In the conclusions derived from a total of 3 studies in very different positions, an increase in productivity of up to 126% has been obtained, and in all cases an improvement in the quality of the product or service.
Unlike other disruptive inventions that humankind has experienced throughout history, generative AI is deployable in any organization and, guess what, it produces effects almost immediately. In two of the 3 studies conducted by NN/g, they measured the outcome after only one use of the AI tool. And the results speak for themselves: a 59% and 126% increase in productivity, respectively.
Nubeprint implemented its ML (machine learning) engine in 2017, thanks to which the distributor with cost-per-copy contracts or subscriptions has been able to reduce its stock, improve deliveries, reduce incidents, improve its costs, and also gain productivity while increasing customer satisfaction.
Source: Nubeprint / Nielsen Norman Group
Measuring has long since ceased to be an obstacle. We have data on everything. But at this point, what do we do with this data, and are we making the most of it? Based on what I see around me and sadly, the answer is a resounding no.
The challenge now is to interpret the data in such a way that we can draw conclusions that will help us achieve our objectives. But most organizations lack a professional team capable of interpreting and planning actions that lead to improvement.
It is often frustrating to ask a team trained to do business “as usual” to interpret data to improve their work. This is because a worker becomes particularly good at something by repeating the task rather than by having a critical spirit aimed at constantly improving it. How close to home is the saying “the devil knows best when he is old”.
And if a small or medium-sized organization does not have the human resources to take advantage of data, the long-term problem is that companies with fewer resources will lose competitiveness faster and faster to those that can hire professionals who are willing to pay them for the job if this benefits the organization as a whole. Indeed, these are employees who are more expensive to hire, but whose passage through an organization leaves a trace of cost reduction and service or product improvement.
But generative AI has arrived to provide a new opportunity for companies that do not have access to those “1st division” professionals. The Nielsen Norman Group (NN/g) study (nngroup.com/articles/ai-tools-productivity-gains) reveals the impact of AI from productivity and service excellence approaches. In the conclusions derived from a total of 3 studies in very different positions, an increase in productivity of up to 126% has been obtained, and in all cases an improvement in the quality of the product or service.
Unlike other disruptive inventions that humankind has experienced throughout history, generative AI is deployable in any organization and, guess what, it produces effects almost immediately. In two of the 3 studies conducted by NN/g, they measured the outcome after only one use of the AI tool. And the results speak for themselves: a 59% and 126% increase in productivity, respectively.
Nubeprint implemented its ML (machine learning) engine in 2017, thanks to which the distributor with cost-per-copy contracts or subscriptions has been able to reduce its stock, improve deliveries, reduce incidents, improve its costs, and also gain productivity while increasing customer satisfaction.
Source: Nubeprint / Nielsen Norman Group
It is often frustrating to ask a team trained to do business “as usual” to interpret data to improve their work. This is because a worker becomes particularly good at something by repeating the task rather than by having a critical spirit aimed at constantly improving it. How close to home is the saying “the devil knows best when he is old”.
And if a small or medium-sized organization does not have the human resources to take advantage of data, the long-term problem is that companies with fewer resources will lose competitiveness faster and faster to those that can hire professionals who are willing to pay them for the job if this benefits the organization as a whole. Indeed, these are employees who are more expensive to hire, but whose passage through an organization leaves a trace of cost reduction and service or product improvement.
But generative AI has arrived to provide a new opportunity for companies that do not have access to those “1st division” professionals. The Nielsen Norman Group (NN/g) study (nngroup.com/articles/ai-tools-productivity-gains) reveals the impact of AI from productivity and service excellence approaches. In the conclusions derived from a total of 3 studies in very different positions, an increase in productivity of up to 126% has been obtained, and in all cases an improvement in the quality of the product or service.
Unlike other disruptive inventions that humankind has experienced throughout history, generative AI is deployable in any organization and, guess what, it produces effects almost immediately. In two of the 3 studies conducted by NN/g, they measured the outcome after only one use of the AI tool. And the results speak for themselves: a 59% and 126% increase in productivity, respectively.
Nubeprint implemented its ML (machine learning) engine in 2017, thanks to which the distributor with cost-per-copy contracts or subscriptions has been able to reduce its stock, improve deliveries, reduce incidents, improve its costs, and also gain productivity while increasing customer satisfaction.
Source: Nubeprint / Nielsen Norman Group
But generative AI has arrived to provide a new opportunity for companies that do not have access to those “1st division” professionals. The Nielsen Norman Group (NN/g) study (nngroup.com/articles/ai-tools-productivity-gains) reveals the impact of AI from productivity and service excellence approaches. In the conclusions derived from a total of 3 studies in very different positions, an increase in productivity of up to 126% has been obtained, and in all cases an improvement in the quality of the product or service.
Unlike other disruptive inventions that humankind has experienced throughout history, generative AI is deployable in any organization and, guess what, it produces effects almost immediately. In two of the 3 studies conducted by NN/g, they measured the outcome after only one use of the AI tool. And the results speak for themselves: a 59% and 126% increase in productivity, respectively.
Nubeprint implemented its ML (machine learning) engine in 2017, thanks to which the distributor with cost-per-copy contracts or subscriptions has been able to reduce its stock, improve deliveries, reduce incidents, improve its costs, and also gain productivity while increasing customer satisfaction.
Source: Nubeprint / Nielsen Norman Group
Nubeprint implemented its ML (machine learning) engine in 2017, thanks to which the distributor with cost-per-copy contracts or subscriptions has been able to reduce its stock, improve deliveries, reduce incidents, improve its costs, and also gain productivity while increasing customer satisfaction.
Source: Nubeprint / Nielsen Norman Group
Did you know …….?
Nubeprint answers FAQS.
After many years of experience and customer interactions, there are a number of frequently asked questions (FAQ, Frequently Asked Questions) that are recurring, questions that do not depend so much on the size of the dealer or his experience in handling the Nubeprint system panel, but rather on the use of the various apps and the exact location of certain functionality. Do you want to know the answers to our FAQS…?
Today we are going to carry out an exercise to clarify doubts that usually arise in the use of our system. If you are a Nubeprint customer, you will be quite familiar with the control panel, with greater or less fluency in its use depending on the time you have been managing it. For this reason, the first answers we will give you to the FAQ’s below may seem obvious to you… Or not…?
1st Do I have to download the cpm executable every time I create a project?
No. Once you have downloaded the executable in a single project (Windows, the most common), this executable is generic, it is valid for all projects that need the same executable. We recommend loading it on a pen drive (with its label “Windows” in this case), pen drive that you will be able to use in all cpm installations where any client has the “Windows” system.
2nd. Why does it take so long for the system to find the machines in the first scan?
It depends on the search range configured in the cpm. If it is a client with few printers, you can include the IPs manually in the cpm configurator and the search will be much faster.
3rd. How do I remove a machine from the system?
In the Inventory app, click on “Show/Hide columns” and make sure to click on “Remove”. This column will appear on the right side of your panel and you will see that all the machines have a check mark: remove the check mark on as many machines as you want to remove and, in the next update, they will no longer appear (Important: when a machine is removed from the system, there is no possibility to recover it, you have to install the cpm again).
4th. Where can I modify or delete a project?
In the Settings app you can change the name of the project, activate/deactivate the notifications for consumables or technical alerts and, at the bottom, delete the project (Important: be sure to select the project you want to delete in the left column. If you select “All projects”, they will all disappear from your panel).
5th. Where can I change the consumables alert thresholds?
In the Status app. Check in “Show/Hide columns” that you have clicked on “Thresholds”. In this column you can change the thresholds for each particular machine, choosing % or days. If you click on “Activate threshold in days”, you will massively modify all the machines of the selected projects.
6th. Where can I edit and write in the panel?
In all the apps where “***” appears in green in any column. When you click, you can write the new data (to modify it, you can rewrite over it; if you want to leave it empty again, rewrite “***”). A good example is the Inventory app: click on “Show/Hide columns” and select all the options you want to see in your panel. You will see that most of them have the “***” to edit and annotate what you want.
So much for the first set of answers. Nubeprint is currently developing an AI app that will allow you to chat in real time and ask all kinds of queries: the launch of NubAI is coming soon…..
Source: Nubeprint
1st Do I have to download the cpm executable every time I create a project?
No. Once you have downloaded the executable in a single project (Windows, the most common), this executable is generic, it is valid for all projects that need the same executable. We recommend loading it on a pen drive (with its label “Windows” in this case), pen drive that you will be able to use in all cpm installations where any client has the “Windows” system.
2nd. Why does it take so long for the system to find the machines in the first scan?
It depends on the search range configured in the cpm. If it is a client with few printers, you can include the IPs manually in the cpm configurator and the search will be much faster.
3rd. How do I remove a machine from the system?
In the Inventory app, click on “Show/Hide columns” and make sure to click on “Remove”. This column will appear on the right side of your panel and you will see that all the machines have a check mark: remove the check mark on as many machines as you want to remove and, in the next update, they will no longer appear (Important: when a machine is removed from the system, there is no possibility to recover it, you have to install the cpm again).
4th. Where can I modify or delete a project?
In the Settings app you can change the name of the project, activate/deactivate the notifications for consumables or technical alerts and, at the bottom, delete the project (Important: be sure to select the project you want to delete in the left column. If you select “All projects”, they will all disappear from your panel).
5th. Where can I change the consumables alert thresholds?
In the Status app. Check in “Show/Hide columns” that you have clicked on “Thresholds”. In this column you can change the thresholds for each particular machine, choosing % or days. If you click on “Activate threshold in days”, you will massively modify all the machines of the selected projects.
6th. Where can I edit and write in the panel?
In all the apps where “***” appears in green in any column. When you click, you can write the new data (to modify it, you can rewrite over it; if you want to leave it empty again, rewrite “***”). A good example is the Inventory app: click on “Show/Hide columns” and select all the options you want to see in your panel. You will see that most of them have the “***” to edit and annotate what you want.
So much for the first set of answers. Nubeprint is currently developing an AI app that will allow you to chat in real time and ask all kinds of queries: the launch of NubAI is coming soon…..
Source: Nubeprint
2nd. Why does it take so long for the system to find the machines in the first scan?
It depends on the search range configured in the cpm. If it is a client with few printers, you can include the IPs manually in the cpm configurator and the search will be much faster.
3rd. How do I remove a machine from the system?
In the Inventory app, click on “Show/Hide columns” and make sure to click on “Remove”. This column will appear on the right side of your panel and you will see that all the machines have a check mark: remove the check mark on as many machines as you want to remove and, in the next update, they will no longer appear (Important: when a machine is removed from the system, there is no possibility to recover it, you have to install the cpm again).
4th. Where can I modify or delete a project?
In the Settings app you can change the name of the project, activate/deactivate the notifications for consumables or technical alerts and, at the bottom, delete the project (Important: be sure to select the project you want to delete in the left column. If you select “All projects”, they will all disappear from your panel).
5th. Where can I change the consumables alert thresholds?
In the Status app. Check in “Show/Hide columns” that you have clicked on “Thresholds”. In this column you can change the thresholds for each particular machine, choosing % or days. If you click on “Activate threshold in days”, you will massively modify all the machines of the selected projects.
6th. Where can I edit and write in the panel?
In all the apps where “***” appears in green in any column. When you click, you can write the new data (to modify it, you can rewrite over it; if you want to leave it empty again, rewrite “***”). A good example is the Inventory app: click on “Show/Hide columns” and select all the options you want to see in your panel. You will see that most of them have the “***” to edit and annotate what you want.
So much for the first set of answers. Nubeprint is currently developing an AI app that will allow you to chat in real time and ask all kinds of queries: the launch of NubAI is coming soon…..
Source: Nubeprint
3rd. How do I remove a machine from the system?
In the Inventory app, click on “Show/Hide columns” and make sure to click on “Remove”. This column will appear on the right side of your panel and you will see that all the machines have a check mark: remove the check mark on as many machines as you want to remove and, in the next update, they will no longer appear (Important: when a machine is removed from the system, there is no possibility to recover it, you have to install the cpm again).
4th. Where can I modify or delete a project?
In the Settings app you can change the name of the project, activate/deactivate the notifications for consumables or technical alerts and, at the bottom, delete the project (Important: be sure to select the project you want to delete in the left column. If you select “All projects”, they will all disappear from your panel).
5th. Where can I change the consumables alert thresholds?
In the Status app. Check in “Show/Hide columns” that you have clicked on “Thresholds”. In this column you can change the thresholds for each particular machine, choosing % or days. If you click on “Activate threshold in days”, you will massively modify all the machines of the selected projects.
6th. Where can I edit and write in the panel?
In all the apps where “***” appears in green in any column. When you click, you can write the new data (to modify it, you can rewrite over it; if you want to leave it empty again, rewrite “***”). A good example is the Inventory app: click on “Show/Hide columns” and select all the options you want to see in your panel. You will see that most of them have the “***” to edit and annotate what you want.
So much for the first set of answers. Nubeprint is currently developing an AI app that will allow you to chat in real time and ask all kinds of queries: the launch of NubAI is coming soon…..
Source: Nubeprint
4th. Where can I modify or delete a project?
In the Settings app you can change the name of the project, activate/deactivate the notifications for consumables or technical alerts and, at the bottom, delete the project (Important: be sure to select the project you want to delete in the left column. If you select “All projects”, they will all disappear from your panel).
5th. Where can I change the consumables alert thresholds?
In the Status app. Check in “Show/Hide columns” that you have clicked on “Thresholds”. In this column you can change the thresholds for each particular machine, choosing % or days. If you click on “Activate threshold in days”, you will massively modify all the machines of the selected projects.
6th. Where can I edit and write in the panel?
In all the apps where “***” appears in green in any column. When you click, you can write the new data (to modify it, you can rewrite over it; if you want to leave it empty again, rewrite “***”). A good example is the Inventory app: click on “Show/Hide columns” and select all the options you want to see in your panel. You will see that most of them have the “***” to edit and annotate what you want.
So much for the first set of answers. Nubeprint is currently developing an AI app that will allow you to chat in real time and ask all kinds of queries: the launch of NubAI is coming soon…..
Source: Nubeprint
In the Status app. Check in “Show/Hide columns” that you have clicked on “Thresholds”. In this column you can change the thresholds for each particular machine, choosing % or days. If you click on “Activate threshold in days”, you will massively modify all the machines of the selected projects.
6th. Where can I edit and write in the panel?
In all the apps where “***” appears in green in any column. When you click, you can write the new data (to modify it, you can rewrite over it; if you want to leave it empty again, rewrite “***”). A good example is the Inventory app: click on “Show/Hide columns” and select all the options you want to see in your panel. You will see that most of them have the “***” to edit and annotate what you want.
So much for the first set of answers. Nubeprint is currently developing an AI app that will allow you to chat in real time and ask all kinds of queries: the launch of NubAI is coming soon…..
Source: Nubeprint
Source: Nubeprint
Did you know …….?
The EU drafts the first law on AI.
The European Union wants to regulate artificial intelligence (AI) to monitor its development and ensure the proper use of this technology. AI can bring many benefits, such as better healthcare or more sustainable energy, but…Why is it advisable to regulate it…?
The Parliament envisions this draft as a statement of general, neutral principles that can be applied to future AI systems.
AI systems used in the EU will be human supervised, safe, secure, transparent, traceable, non-discriminatory and sustainable.
The newly drafted law sets out a series of guidelines depending on the level of risk of AI:
1st Unacceptable risk –
AI systems that pose a threat to people, which will be banned. They include:
– Manipulation of the behavior of vulnerable individuals or groups.
– Classification of people by status or personal characteristics.
– Biometric identification in real time and remotely (will be allowed a posteriori to prosecute serious crimes, with prior judicial approval).
2º. High risk –
AI systems that threaten security or fundamental rights, with two categories:
– Those used in products subject to European safety legislation (toys, aviation, automobiles, medical devices and elevators).
– AI systems belonging to specific domains to be registered in an EU database, such as Critical Infrastructure, Education and Employment.
These high-risk AI systems will be assessed prior to commercialization and throughout their lifecycle.
Generative AI, such as ChatGPT, will have to meet transparency requirements:
– Identify that the content has been generated by AI.
– Establish guidelines to prevent it from generating illegal content.
– Publish the data protected by intellectual property that is used.
3º. Limited risk –
Systems that comply with the necessary transparency so that users can make informed decisions, being aware of when they are interacting with AI. Includes those that generate or manipulate image, audio or video content (e.g. deepfakes).
Last June 14, 2023, MEPs started negotiations on the AI law. The Council of Europe will try to shape The AI Law before the end of this year, a law that will be a pioneer in the regulation of this booming technology.
Nubeprint, with its first solution in the Cloud in 2010, uses A.I. and Big Data to ensure a secure environment based on two pillars:
1st Security in network and data protection, complying with up to seven security directives. These include HIPAA (Health Insurance Portability and Accountability Act), the Federal Information Security Management Act and GDPR (General Data Protection Regulation of the EC).
Security against cyber-attacks, avoiding security breaches as Nubeprint is not intrusive and does not leave access ports open unnecessarily.
Source: europarl.europa.eu/ Nubeprint
Did you know …….?
Telecommuting is slowing down the real estate expansion of companies.
The preference for remote work is affecting the real estate strategies of large companies, even Amazon is not spared. Everything points to the fact that the uncertainty that teleworking generates in many areas is still far from being resolved… Why is this?
Over the last few decades, companies of all sizes have striven to build physical spaces where their employees feel even more comfortable than at home; where employees can find answers to all their needs: gymnasiums, cafeterias and restaurants, pharmacies, napping areas…
We have examples in all sectors: in telecommunications, with Telefónica’s District C in Madrid (Spain); in banking, with Banco Santander’s financial city, which even has a golf course in Boadilla (Madrid, Spain).
But the cases that have undoubtedly attracted the most attention are those of technology companies: The Googleplex is a city in itself. Located in San Francisco (USA), it has its own means of transportation and is a pioneer in generating its own culture. Amazon, Meta and other well-known companies did not want to be left behind and each new project has bid to eclipse those of its competitors.
In the case of Amazon, the construction of its second headquarters in Arlington (Virginia, USA) has been halted. The new headquarters, HQ2, will depend on both the labor market and telecommuting.
Meta Platforms is also limiting its presence in Hudson Yards (New York) and elsewhere to cope with cutbacks and a preference for telecommuting.
Perhaps all this effort, which has involved investments of billions of dollars, could fall on deaf ears if, as seems to be happening, professionals value more of something else that is both beyond the reach of the deepest pockets and within the reach of all pockets: the ability to work from wherever they choose.
Used well, telework can be the element that allows small companies to compete for talented professionals. And if this is the case, every SME should have a strategy to attract the best professionals based precisely on the attractiveness of working remotely.
Nubeprint is firmly committed to telecommuting, with 100% of its workforce connected remotely. With its pioneering and unique mobile app, it can monitor the teleworker’s printer to alert him or her when the consumables are low and replace them before they run out, ensuring that the printer is always at full capacity and the employee does not have to worry about consumables.
SOURCE: cincodias.elpais.com/ Nubeprint
We have examples in all sectors: in telecommunications, with Telefónica’s District C in Madrid (Spain); in banking, with Banco Santander’s financial city, which even has a golf course in Boadilla (Madrid, Spain).
But the cases that have undoubtedly attracted the most attention are those of technology companies: The Googleplex is a city in itself. Located in San Francisco (USA), it has its own means of transportation and is a pioneer in generating its own culture. Amazon, Meta and other well-known companies did not want to be left behind and each new project has bid to eclipse those of its competitors.
In the case of Amazon, the construction of its second headquarters in Arlington (Virginia, USA) has been halted. The new headquarters, HQ2, will depend on both the labor market and telecommuting.
Meta Platforms is also limiting its presence in Hudson Yards (New York) and elsewhere to cope with cutbacks and a preference for telecommuting.
Perhaps all this effort, which has involved investments of billions of dollars, could fall on deaf ears if, as seems to be happening, professionals value more of something else that is both beyond the reach of the deepest pockets and within the reach of all pockets: the ability to work from wherever they choose.
Used well, telework can be the element that allows small companies to compete for talented professionals. And if this is the case, every SME should have a strategy to attract the best professionals based precisely on the attractiveness of working remotely.
Nubeprint is firmly committed to telecommuting, with 100% of its workforce connected remotely. With its pioneering and unique mobile app, it can monitor the teleworker’s printer to alert him or her when the consumables are low and replace them before they run out, ensuring that the printer is always at full capacity and the employee does not have to worry about consumables.
SOURCE: cincodias.elpais.com/ Nubeprint
Meta Platforms is also limiting its presence in Hudson Yards (New York) and elsewhere to cope with cutbacks and a preference for telecommuting.
Perhaps all this effort, which has involved investments of billions of dollars, could fall on deaf ears if, as seems to be happening, professionals value more of something else that is both beyond the reach of the deepest pockets and within the reach of all pockets: the ability to work from wherever they choose.
Used well, telework can be the element that allows small companies to compete for talented professionals. And if this is the case, every SME should have a strategy to attract the best professionals based precisely on the attractiveness of working remotely.
Nubeprint is firmly committed to telecommuting, with 100% of its workforce connected remotely. With its pioneering and unique mobile app, it can monitor the teleworker’s printer to alert him or her when the consumables are low and replace them before they run out, ensuring that the printer is always at full capacity and the employee does not have to worry about consumables.
SOURCE: cincodias.elpais.com/ Nubeprint
Nubeprint is firmly committed to telecommuting, with 100% of its workforce connected remotely. With its pioneering and unique mobile app, it can monitor the teleworker’s printer to alert him or her when the consumables are low and replace them before they run out, ensuring that the printer is always at full capacity and the employee does not have to worry about consumables.
SOURCE: cincodias.elpais.com/ Nubeprint
Did you know …….?
Measurement is also influenced by the country you live in.
If we look at North America and Europe, we will find subtle differences in how the same concept is measured in each place. And we are not referring to the unit of measurement (miles or kilometers), but to such everyday facts as measuring car consumption and printer cartridge yield. Do you want to know more…?
Let’s start with a curiosity of no consequence: the consumption indicator that cars have. Until recently, this data was digested by the driver more as a curiosity than a necessity. But with the advent of electric vehicles (with less autonomy and requiring recharging), they have learned to use it frequently: necessity wins out over curiosity.
However, here, as in so many other things, differences in use are evident. While in Europe the most common indicator is “liters/km traveled” or “kWh per km traveled”, in North America they use “miles/liter” or “miles per kWh”, i.e. the same indicator inverted. But, in the end, they are talking about the same thing: what you are getting out of a tank of gasoline or charged batteries.
In the world of printing, something similar happens. Printer consumption is a critical element for all dealers with MPS (Managed Print Services) contracts.
We would all agree that the cartridge should be shipped before the printer stops, i.e. when the level is low, but that is as far as the consensus goes: in North America, for the most part, the time of shipment is measured by the percentage of charge remaining in the cartridge, while in Europe it is measured by the number of days the consumable is still capable of printing. Which is the most appropriate indicator?
Answering this question requires understanding the consequences of one or the other gauge: with 20% toner level in 2 machines of the same model, you can print for 2 months on one, and 2 days on the other. In other words, how long that 20% lasts depends on the user’s printing patterns, which the distributor will never be able to control.
If in both cases the toner is shipped at the same time, we will have the following:
– In the first printer, in 60% of the cases, the user will install it as soon as he receives it (with a waste of about 20% of the cartridge); in 8% of the cases, the cartridge will be misplaced (the user no longer remembers where he kept it); only in 32% of the cases, the user will wait and install it when the other one is exhausted.
– In the case of the second printer to which the cartridge is shipped 2 days in advance, any deviation from the ideal process will mean that the printer will stop, and as a consequence, the customer will complain.
If cartridge shipments are made on the basis of the days of use remaining on each cartridge, the distributor will be controlling the timing, ensuring that the customer is never left idle without printing. On the other hand, it will be acting preventively against users who install the cartridges as soon as they receive them, as well as against forgetful customers who lose them.
For both reasons, the vast majority of resellers using Nubeprint manage their shipments using Nubeprint’s unique “days remaining” thresholds, a threshold that can be adjusted from the “Status” app.
Source: Nubeprint
However, here, as in so many other things, differences in use are evident. While in Europe the most common indicator is “liters/km traveled” or “kWh per km traveled”, in North America they use “miles/liter” or “miles per kWh”, i.e. the same indicator inverted. But, in the end, they are talking about the same thing: what you are getting out of a tank of gasoline or charged batteries.
In the world of printing, something similar happens. Printer consumption is a critical element for all dealers with MPS (Managed Print Services) contracts.
We would all agree that the cartridge should be shipped before the printer stops, i.e. when the level is low, but that is as far as the consensus goes: in North America, for the most part, the time of shipment is measured by the percentage of charge remaining in the cartridge, while in Europe it is measured by the number of days the consumable is still capable of printing. Which is the most appropriate indicator?
Answering this question requires understanding the consequences of one or the other gauge: with 20% toner level in 2 machines of the same model, you can print for 2 months on one, and 2 days on the other. In other words, how long that 20% lasts depends on the user’s printing patterns, which the distributor will never be able to control.
If in both cases the toner is shipped at the same time, we will have the following:
– In the first printer, in 60% of the cases, the user will install it as soon as he receives it (with a waste of about 20% of the cartridge); in 8% of the cases, the cartridge will be misplaced (the user no longer remembers where he kept it); only in 32% of the cases, the user will wait and install it when the other one is exhausted.
– In the case of the second printer to which the cartridge is shipped 2 days in advance, any deviation from the ideal process will mean that the printer will stop, and as a consequence, the customer will complain.
If cartridge shipments are made on the basis of the days of use remaining on each cartridge, the distributor will be controlling the timing, ensuring that the customer is never left idle without printing. On the other hand, it will be acting preventively against users who install the cartridges as soon as they receive them, as well as against forgetful customers who lose them.
For both reasons, the vast majority of resellers using Nubeprint manage their shipments using Nubeprint’s unique “days remaining” thresholds, a threshold that can be adjusted from the “Status” app.
Source: Nubeprint
We would all agree that the cartridge should be shipped before the printer stops, i.e. when the level is low, but that is as far as the consensus goes: in North America, for the most part, the time of shipment is measured by the percentage of charge remaining in the cartridge, while in Europe it is measured by the number of days the consumable is still capable of printing. Which is the most appropriate indicator?
Answering this question requires understanding the consequences of one or the other gauge: with 20% toner level in 2 machines of the same model, you can print for 2 months on one, and 2 days on the other. In other words, how long that 20% lasts depends on the user’s printing patterns, which the distributor will never be able to control.
If in both cases the toner is shipped at the same time, we will have the following:
– In the first printer, in 60% of the cases, the user will install it as soon as he receives it (with a waste of about 20% of the cartridge); in 8% of the cases, the cartridge will be misplaced (the user no longer remembers where he kept it); only in 32% of the cases, the user will wait and install it when the other one is exhausted.
– In the case of the second printer to which the cartridge is shipped 2 days in advance, any deviation from the ideal process will mean that the printer will stop, and as a consequence, the customer will complain.
If cartridge shipments are made on the basis of the days of use remaining on each cartridge, the distributor will be controlling the timing, ensuring that the customer is never left idle without printing. On the other hand, it will be acting preventively against users who install the cartridges as soon as they receive them, as well as against forgetful customers who lose them.
For both reasons, the vast majority of resellers using Nubeprint manage their shipments using Nubeprint’s unique “days remaining” thresholds, a threshold that can be adjusted from the “Status” app.
Source: Nubeprint
If in both cases the toner is shipped at the same time, we will have the following:
– In the first printer, in 60% of the cases, the user will install it as soon as he receives it (with a waste of about 20% of the cartridge); in 8% of the cases, the cartridge will be misplaced (the user no longer remembers where he kept it); only in 32% of the cases, the user will wait and install it when the other one is exhausted.
– In the case of the second printer to which the cartridge is shipped 2 days in advance, any deviation from the ideal process will mean that the printer will stop, and as a consequence, the customer will complain.
If cartridge shipments are made on the basis of the days of use remaining on each cartridge, the distributor will be controlling the timing, ensuring that the customer is never left idle without printing. On the other hand, it will be acting preventively against users who install the cartridges as soon as they receive them, as well as against forgetful customers who lose them.
For both reasons, the vast majority of resellers using Nubeprint manage their shipments using Nubeprint’s unique “days remaining” thresholds, a threshold that can be adjusted from the “Status” app.
Source: Nubeprint
– In the case of the second printer to which the cartridge is shipped 2 days in advance, any deviation from the ideal process will mean that the printer will stop, and as a consequence, the customer will complain.
If cartridge shipments are made on the basis of the days of use remaining on each cartridge, the distributor will be controlling the timing, ensuring that the customer is never left idle without printing. On the other hand, it will be acting preventively against users who install the cartridges as soon as they receive them, as well as against forgetful customers who lose them.
For both reasons, the vast majority of resellers using Nubeprint manage their shipments using Nubeprint’s unique “days remaining” thresholds, a threshold that can be adjusted from the “Status” app.
Source: Nubeprint
For both reasons, the vast majority of resellers using Nubeprint manage their shipments using Nubeprint’s unique “days remaining” thresholds, a threshold that can be adjusted from the “Status” app.
Source: Nubeprint
Did you know …….?
Smart society 5.0. is dawning in the land of the rising Sun.
The super-smart society is a connected model, where Big Data, IoT, AI and robots are integrated to create a digital and physical infrastructure that improves the quality of life of citizens. How far do you want to go with this new model of society …?
By 2065, people over the age of 65 will account for 38.4% of Japan’s population, reducing the workforce and increasing medical and social costs.
For this reason, the Japanese plan focuses on robotic medical technologies and assisted living care, especially for the elderly, with a focus on mobility and health and social care.
The new society will be hyper-connected and more efficient in integrating the most advanced technologies, necessitating industrial and economic growth based on AI, IoT and robotics, leading to a future smart society.
In rural areas, inhabitants will be able to move around in autonomous cabs and buses: there will also be drones for e-commerce delivery, with efficient services in areas with low labor force and an aging population as well.
To prevent infrastructure deterioration, AI, robots and sensors will be used for the maintenance of buildings, roads, bridges, etc. In addition, urban space will be more efficient and accessible as the smart city integrates physical devices, such as sensors, with information and communication technology (ICT), creating a whole interconnected network (IoT).
Monetary transactions will be solved thanks to blockchain technology and open app programming interfaces, without cash payment.
The most significant thing about the 5.0 society as opposed to the information society (4.0) is that the analysis of Big Data leaves it in the hands of the potential of AI. It will be the first time in history that AI will shape the physical-digital ecosystem with the help of human intervention.
In short, the 5.0 society aims to combat Japan’s progressive aging, a problem that is not unique to Japan. Technology will interconnect the digital and the physical to improve the quality of life of its inhabitants, accompanied by the economic growth necessary to create technological solutions to social, demographic and economic problems.
Nubeprint has developed the concept of a data collector ecosystem. It is a whole library of DCAs that have the same purpose: to read status and usage data from the printer and transport it in the most convenient way to the place where it needs to be used.
Currently, Nubeprint has DCAs for LAN, WIFI and USB connected printers; laser and inkjet printers and multifunctional equipment; Ribbon, thermal, large format and 3D printers; also DCAs for scanners PCs, servers, tablets, smartphones, smart TVs and Raspberry.
Source: revistanuve.com/ Nubeprint
For this reason, the Japanese plan focuses on robotic medical technologies and assisted living care, especially for the elderly, with a focus on mobility and health and social care.
The new society will be hyper-connected and more efficient in integrating the most advanced technologies, necessitating industrial and economic growth based on AI, IoT and robotics, leading to a future smart society.
In rural areas, inhabitants will be able to move around in autonomous cabs and buses: there will also be drones for e-commerce delivery, with efficient services in areas with low labor force and an aging population as well.
To prevent infrastructure deterioration, AI, robots and sensors will be used for the maintenance of buildings, roads, bridges, etc. In addition, urban space will be more efficient and accessible as the smart city integrates physical devices, such as sensors, with information and communication technology (ICT), creating a whole interconnected network (IoT).
Monetary transactions will be solved thanks to blockchain technology and open app programming interfaces, without cash payment.
The most significant thing about the 5.0 society as opposed to the information society (4.0) is that the analysis of Big Data leaves it in the hands of the potential of AI. It will be the first time in history that AI will shape the physical-digital ecosystem with the help of human intervention.
In short, the 5.0 society aims to combat Japan’s progressive aging, a problem that is not unique to Japan. Technology will interconnect the digital and the physical to improve the quality of life of its inhabitants, accompanied by the economic growth necessary to create technological solutions to social, demographic and economic problems.
Nubeprint has developed the concept of a data collector ecosystem. It is a whole library of DCAs that have the same purpose: to read status and usage data from the printer and transport it in the most convenient way to the place where it needs to be used.
Currently, Nubeprint has DCAs for LAN, WIFI and USB connected printers; laser and inkjet printers and multifunctional equipment; Ribbon, thermal, large format and 3D printers; also DCAs for scanners PCs, servers, tablets, smartphones, smart TVs and Raspberry.
Source: revistanuve.com/ Nubeprint
To prevent infrastructure deterioration, AI, robots and sensors will be used for the maintenance of buildings, roads, bridges, etc. In addition, urban space will be more efficient and accessible as the smart city integrates physical devices, such as sensors, with information and communication technology (ICT), creating a whole interconnected network (IoT).
Monetary transactions will be solved thanks to blockchain technology and open app programming interfaces, without cash payment.
The most significant thing about the 5.0 society as opposed to the information society (4.0) is that the analysis of Big Data leaves it in the hands of the potential of AI. It will be the first time in history that AI will shape the physical-digital ecosystem with the help of human intervention.
In short, the 5.0 society aims to combat Japan’s progressive aging, a problem that is not unique to Japan. Technology will interconnect the digital and the physical to improve the quality of life of its inhabitants, accompanied by the economic growth necessary to create technological solutions to social, demographic and economic problems.
Nubeprint has developed the concept of a data collector ecosystem. It is a whole library of DCAs that have the same purpose: to read status and usage data from the printer and transport it in the most convenient way to the place where it needs to be used.
Currently, Nubeprint has DCAs for LAN, WIFI and USB connected printers; laser and inkjet printers and multifunctional equipment; Ribbon, thermal, large format and 3D printers; also DCAs for scanners PCs, servers, tablets, smartphones, smart TVs and Raspberry.
Source: revistanuve.com/ Nubeprint
In short, the 5.0 society aims to combat Japan’s progressive aging, a problem that is not unique to Japan. Technology will interconnect the digital and the physical to improve the quality of life of its inhabitants, accompanied by the economic growth necessary to create technological solutions to social, demographic and economic problems.