Customer Case Studies

CASE STUDIES

use cases

Adjust pricing in real time

Read more

Traditionally, if a salesperson noticed you were wearing an expensive suit, then they might offer you the same car they sold earlier that day at a higher price. In the same way, now pecan can help you quantify the best price to encourage a specific customer to make the decision to buy while also maximizing profits. Using pecan, retail stores can actually start analyzing previous purchase history as soon as a customer walks into the door, and adjust offers and products accordingly.

Churn prevention

Read more

Identifying signs of dissatisfaction among a specific customer, identify those customers that are at the most risk for leaving, and the variables affecting the decision to leave. Using that information, companies can then make the necessary changes to keep those customers happy and protect their revenue.

Creating risk scores

Read more

Which individuals might benefit from enhanced services or wellness activities.

Customer lifetime value

Read more

Predict which specific customers or leads that are likely to spend the most money, in the most consistent way and over the longest period of time. This kind of insight allows companies to optimise their marketing to increase their share of that segment of the business, and gain those customers that will have the greatest lifetime value to your company.

Design discharge planning protocols to prevent speedy returns to the hospital

Read more

Certain events occurring during a hospital stay, such as a C. difficile infection, vital sign instability upon discharge, and overall longer length of stay, resulted in a significantly elevated chance of a 30-day readmission. Analytics tools that can identify patients with traits that produce a high impact on the likelihood of readmission can give providers an extra indication of when to focus resources on follow-up and how to design discharge planning protocols to prevent speedy returns to the hospital.

Develop precision medication

Read more

Deep learning can be used to predict clinical outcomes, inform clinical trial designs, support evidence of effectiveness, optimize dosing, predict product safety, and evaluate potential adverse event mechanisms. Predictive analytics and clinical decision support tools are playing key roles in translating new drugs into precision therapies, as well.

Faster reaction time to deteriorating conditions

Read more

React as quickly as possible to changes in a patient’s vitals, and identify an upcoming deterioration before symptoms clearly manifest themselves to the naked eye. AI strategies are particularly well suited to predicting clinical events in the hospital, such as the development of an acute kidney injury (AKI) or sepsis.

Identify and define best market and audiences for your product

Read more

Predictive analytics can identify target markets based on real data and indicators, and further identify the segments of those markets that are most receptive to what your company offers. This same data can also help to identify segments and potentially even entire markets that you didn’t even realise existed.

Identify the likelihood to skip an appointment without advanced notice

Read more

Cut down on revenue losses, and give organizations the opportunity to offer open slots to other clients, thereby increasing speedy access to the service.

Likelihood for readmission

Read more

Warn healthcare providers when a patient’s risk factors indicate a high likelihood for readmission within the 30-day window (there is high penalties involved for the provider in cases or readmission)

Next best action

Read more

Predict the best way to approach individual customers, giving you insight into the best times and channels to connect to those customers.

Optimise marketing spending

Read more

(Digital and non digital, including BTL) Predict what customers are more likely to buy your products and services, as well as the channels are most likely to reach those customers. This allows marketing to maximize those channels that have the best chance of producing significant revenue.

Pinpoint claims that are likely to be fraudulent

Read more

Predicting fraudulent claims is a daunting challenge that can cost more than the original cost of the claim itself. Deep learning predictive analytics help pinpoint the claims that are likely to be fraudulent and that should be researched with high scrutiny by human auditors.

Predict how likely a patient will accept and fulfil the doctor’s medical recommendations

Read more

Use predictive models to look at all the variables, and help prioritize those patients who are really going to be receptive to changing something in their lifestyle, such as nutrition or exercise

Predict in real-time if a specific request for information is a security breach

Read more

This strategy could be particularly effective for preventing ransomware from affecting an organization. Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predict in real-time if a specific transaction is fraudulent

Read more

Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predict when it is about to get busy

Read more

Using analytics to predict patterns in utilization can help to ensure optimal staffing levels while reducing wait times and raising client satisfaction.

Predicting the best next offer

Read more

Traditionally, if a salesperson noticed you purchased an expensive shirt, then they might offer a “great deal” on 3 high quality ties to match new shirt. By looking at the historical behavior of your customers, pecan can help retailers determine in real time the best additional product to offer to your customer that is most likely to increase your sale, whether that be a grocery or an appliance basket.

Predictive maintenance

Read more

Predict what is more likely to go wrong and fix it before it deteriorates. For companies with a major investment in infrastructure and equipment, the ability to manage that maintenance effectively is critical. By analysing metrics and data related to the lifecycle maintenance of technical equipment, companies can predict both timelines for probable maintenance events and upcoming capital expenditure requirements, allowing them to streamline their maintenance costs and avoid critical downtime.

Prevent shortage in medicine and equipment - prevent wasteful orders

Read more

Predict accurate demand for medicine and equipment. Using predictive analytics tools to monitor the supply chain and make proactive, data-driven decisions about spending could save hospitals almost $10 million per year, a separate Navigant survey added. Predictive analytics can support decisions to negotiate pricing, reduce the variation in supplies, and optimising the ordering process.

Proactive intervention

Read more

Proactively identify patients who are at highest risk of poor health outcomes and will benefit most from intervention

Quality assurance

Read more

Predict potential quality issues and trends before they become truly critical issues.

Support suicide risk detection

Read more

Early identification of individuals likely to cause harm to themselves. Ensure that these patients receive the mental healthcare they need to avoid serious events, including suicide.

The likelihood of the customer's maintenance of policies or their surrender

Read more

Pecan's algorithms use special filtering systems to spot the preferences and peculiarities in the customers’ choices. Pecan includes analysis of the data gained from simple questionnaires concerning demographic data and some personal information regarding the insurance experience and the insurance object. On the basis of these insights, Pecan generates more targeted insurance propositions tailored for specific customers. Using predictions made by pecan insurance companies can avoid the ambiguity of the offering home insurance to a customer who is searching for a car insurance proposition.

Up- and cross-selling to specific customers

Read more

Predictive analytics can provide suggestions on which products might be combined to appeal to which specific customer (not only market segments), to increase both your value to your customers, and the revenue derived from your customers. Your customer base is the source of both existing revenue and revenue growth for your company. Because of this, it’s critical to maximize the revenue opportunities that are possible within your market segment and product set.

Adjust pricing in real time

Read more

Traditionally, if a salesperson noticed you were wearing an expensive suit, then they might offer you the same car they sold earlier that day at a higher price. In the same way, now pecan can help you quantify the best price to encourage a specific customer to make the decision to buy while also maximizing profits. Using pecan, retail stores can actually start analyzing previous purchase history as soon as a customer walks into the door, and adjust offers and products accordingly.

Churn prevention

Read more

Identifying signs of dissatisfaction among a specific customer, identify those customers that are at the most risk for leaving, and the variables affecting the decision to leave. Using that information, companies can then make the necessary changes to keep those customers happy and protect their revenue.

Creating risk scores

Read more

Which individuals might benefit from enhanced services or wellness activities.

Customer lifetime value

Read more

Predict which specific customers or leads that are likely to spend the most money, in the most consistent way and over the longest period of time. This kind of insight allows companies to optimise their marketing to increase their share of that segment of the business, and gain those customers that will have the greatest lifetime value to your company.

Design discharge planning protocols to prevent speedy returns to the hospital

Read more

Certain events occurring during a hospital stay, such as a C. difficile infection, vital sign instability upon discharge, and overall longer length of stay, resulted in a significantly elevated chance of a 30-day readmission. Analytics tools that can identify patients with traits that produce a high impact on the likelihood of readmission can give providers an extra indication of when to focus resources on follow-up and how to design discharge planning protocols to prevent speedy returns to the hospital.

Identify and define best market and audiences for your product

Read more

Predictive analytics can identify target markets based on real data and indicators, and further identify the segments of those markets that are most receptive to what your company offers. This same data can also help to identify segments and potentially even entire markets that you didn’t even realise existed.

Identify the likelihood to skip an appointment without advanced notice

Read more

Cut down on revenue losses, and give organizations the opportunity to offer open slots to other clients, thereby increasing speedy access to the service.

Likelihood for readmission

Read more

Warn healthcare providers when a patient’s risk factors indicate a high likelihood for readmission within the 30-day window (there is high penalties involved for the provider in cases or readmission)

Next best action

Read more

Predict the best way to approach individual customers, giving you insight into the best times and channels to connect to those customers.

Optimise marketing spending

Read more

(Digital and non digital, including BTL) Predict what customers are more likely to buy your products and services, as well as the channels are most likely to reach those customers. This allows marketing to maximize those channels that have the best chance of producing significant revenue.

Pinpoint claims that are likely to be fraudulent

Read more

Predicting fraudulent claims is a daunting challenge that can cost more than the original cost of the claim itself. Deep learning predictive analytics help pinpoint the claims that are likely to be fraudulent and that should be researched with high scrutiny by human auditors.

Predict how likely a patient will accept and fulfil the doctor’s medical recommendations

Read more

Use predictive models to look at all the variables, and help prioritize those patients who are really going to be receptive to changing something in their lifestyle, such as nutrition or exercise

Predict in real-time if a specific request for information is a security breach

Read more

This strategy could be particularly effective for preventing ransomware from affecting an organization. Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Proactive intervention

Read more

Proactively identify patients who are at highest risk of poor health outcomes and will benefit most from intervention

Support suicide risk detection

Read more

Early identification of individuals likely to cause harm to themselves. Ensure that these patients receive the mental healthcare they need to avoid serious events, including suicide.

The likelihood of the customer's maintenance of policies or their surrender

Read more

Pecan's algorithms use special filtering systems to spot the preferences and peculiarities in the customers’ choices. Pecan includes analysis of the data gained from simple questionnaires concerning demographic data and some personal information regarding the insurance experience and the insurance object. On the basis of these insights, Pecan generates more targeted insurance propositions tailored for specific customers. Using predictions made by pecan insurance companies can avoid the ambiguity of the offering home insurance to a customer who is searching for a car insurance proposition.

Up- and cross-selling to specific customers

Read more

Predictive analytics can provide suggestions on which products might be combined to appeal to which specific customer (not only market segments), to increase both your value to your customers, and the revenue derived from your customers. Your customer base is the source of both existing revenue and revenue growth for your company. Because of this, it’s critical to maximize the revenue opportunities that are possible within your market segment and product set.

Churn prevention

Read more

Identifying signs of dissatisfaction among a specific customer, identify those customers that are at the most risk for leaving, and the variables affecting the decision to leave. Using that information, companies can then make the necessary changes to keep those customers happy and protect their revenue.

Customer lifetime value

Read more

Predict which specific customers or leads that are likely to spend the most money, in the most consistent way and over the longest period of time. This kind of insight allows companies to optimise their marketing to increase their share of that segment of the business, and gain those customers that will have the greatest lifetime value to your company.

Identify and define best market and audiences for your product

Read more

Predictive analytics can identify target markets based on real data and indicators, and further identify the segments of those markets that are most receptive to what your company offers. This same data can also help to identify segments and potentially even entire markets that you didn’t even realise existed.

Identify the likelihood to skip an appointment without advanced notice

Read more

Cut down on revenue losses, and give organizations the opportunity to offer open slots to other clients, thereby increasing speedy access to the service.

Next best action

Read more

Predict the best way to approach individual customers, giving you insight into the best times and channels to connect to those customers.

Optimise marketing spending

Read more

(Digital and non digital, including BTL) Predict what customers are more likely to buy your products and services, as well as the channels are most likely to reach those customers. This allows marketing to maximize those channels that have the best chance of producing significant revenue.

Predict in real-time if a specific request for information is a security breach

Read more

This strategy could be particularly effective for preventing ransomware from affecting an organization. Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predict in real-time if a specific transaction is fraudulent

Read more

Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predict when it is about to get busy

Read more

Using analytics to predict patterns in utilization can help to ensure optimal staffing levels while reducing wait times and raising client satisfaction.

Predicting the best next offer

Read more

Traditionally, if a salesperson noticed you purchased an expensive shirt, then they might offer a “great deal” on 3 high quality ties to match new shirt. By looking at the historical behavior of your customers, pecan can help retailers determine in real time the best additional product to offer to your customer that is most likely to increase your sale, whether that be a grocery or an appliance basket.

The likelihood of the customer's maintenance of policies or their surrender

Read more

Pecan's algorithms use special filtering systems to spot the preferences and peculiarities in the customers’ choices. Pecan includes analysis of the data gained from simple questionnaires concerning demographic data and some personal information regarding the insurance experience and the insurance object. On the basis of these insights, Pecan generates more targeted insurance propositions tailored for specific customers. Using predictions made by pecan insurance companies can avoid the ambiguity of the offering home insurance to a customer who is searching for a car insurance proposition.

Up- and cross-selling to specific customers

Read more

Predictive analytics can provide suggestions on which products might be combined to appeal to which specific customer (not only market segments), to increase both your value to your customers, and the revenue derived from your customers. Your customer base is the source of both existing revenue and revenue growth for your company. Because of this, it’s critical to maximize the revenue opportunities that are possible within your market segment and product set.

Adjust pricing in real time

Read more

Traditionally, if a salesperson noticed you were wearing an expensive suit, then they might offer you the same car they sold earlier that day at a higher price. In the same way, now pecan can help you quantify the best price to encourage a specific customer to make the decision to buy while also maximizing profits. Using pecan, retail stores can actually start analyzing previous purchase history as soon as a customer walks into the door, and adjust offers and products accordingly.

Churn prevention

Read more

Identifying signs of dissatisfaction among a specific customer, identify those customers that are at the most risk for leaving, and the variables affecting the decision to leave. Using that information, companies can then make the necessary changes to keep those customers happy and protect their revenue.

Customer lifetime value

Read more

Predict which specific customers or leads that are likely to spend the most money, in the most consistent way and over the longest period of time. This kind of insight allows companies to optimise their marketing to increase their share of that segment of the business, and gain those customers that will have the greatest lifetime value to your company.

Identify and define best market and audiences for your product

Read more

Predictive analytics can identify target markets based on real data and indicators, and further identify the segments of those markets that are most receptive to what your company offers. This same data can also help to identify segments and potentially even entire markets that you didn’t even realise existed.

Identify the likelihood to skip an appointment without advanced notice

Read more

Cut down on revenue losses, and give organizations the opportunity to offer open slots to other clients, thereby increasing speedy access to the service.

Next best action

Read more

Predict the best way to approach individual customers, giving you insight into the best times and channels to connect to those customers.

Optimise marketing spending

Read more

(Digital and non digital, including BTL) Predict what customers are more likely to buy your products and services, as well as the channels are most likely to reach those customers. This allows marketing to maximize those channels that have the best chance of producing significant revenue.

Pinpoint claims that are likely to be fraudulent

Read more

Predicting fraudulent claims is a daunting challenge that can cost more than the original cost of the claim itself. Deep learning predictive analytics help pinpoint the claims that are likely to be fraudulent and that should be researched with high scrutiny by human auditors.

Predict in real-time if a specific request for information is a security breach

Read more

This strategy could be particularly effective for preventing ransomware from affecting an organization. Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predict in real-time if a specific transaction is fraudulent

Read more

Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predict when it is about to get busy

Read more

Using analytics to predict patterns in utilization can help to ensure optimal staffing levels while reducing wait times and raising client satisfaction.

Predicting the best next offer

Read more

Traditionally, if a salesperson noticed you purchased an expensive shirt, then they might offer a “great deal” on 3 high quality ties to match new shirt. By looking at the historical behavior of your customers, pecan can help retailers determine in real time the best additional product to offer to your customer that is most likely to increase your sale, whether that be a grocery or an appliance basket.

The likelihood of the customer's maintenance of policies or their surrender

Read more

Pecan's algorithms use special filtering systems to spot the preferences and peculiarities in the customers’ choices. Pecan includes analysis of the data gained from simple questionnaires concerning demographic data and some personal information regarding the insurance experience and the insurance object. On the basis of these insights, Pecan generates more targeted insurance propositions tailored for specific customers. Using predictions made by pecan insurance companies can avoid the ambiguity of the offering home insurance to a customer who is searching for a car insurance proposition.

Up- and cross-selling to specific customers

Read more

Predictive analytics can provide suggestions on which products might be combined to appeal to which specific customer (not only market segments), to increase both your value to your customers, and the revenue derived from your customers. Your customer base is the source of both existing revenue and revenue growth for your company. Because of this, it’s critical to maximize the revenue opportunities that are possible within your market segment and product set.

Adjust pricing in real time

Read more

Traditionally, if a salesperson noticed you were wearing an expensive suit, then they might offer you the same car they sold earlier that day at a higher price. In the same way, now pecan can help you quantify the best price to encourage a specific customer to make the decision to buy while also maximizing profits. Using pecan, retail stores can actually start analyzing previous purchase history as soon as a customer walks into the door, and adjust offers and products accordingly.

Churn prevention

Read more

Identifying signs of dissatisfaction among a specific customer, identify those customers that are at the most risk for leaving, and the variables affecting the decision to leave. Using that information, companies can then make the necessary changes to keep those customers happy and protect their revenue.

Customer lifetime value

Read more

Predict which specific customers or leads that are likely to spend the most money, in the most consistent way and over the longest period of time. This kind of insight allows companies to optimise their marketing to increase their share of that segment of the business, and gain those customers that will have the greatest lifetime value to your company.

Identify and define best market and audiences for your product

Read more

Predictive analytics can identify target markets based on real data and indicators, and further identify the segments of those markets that are most receptive to what your company offers. This same data can also help to identify segments and potentially even entire markets that you didn’t even realise existed.

Identify the likelihood to skip an appointment without advanced notice

Read more

Cut down on revenue losses, and give organizations the opportunity to offer open slots to other clients, thereby increasing speedy access to the service.

Optimise marketing spending

Read more

(Digital and non digital, including BTL) Predict what customers are more likely to buy your products and services, as well as the channels are most likely to reach those customers. This allows marketing to maximize those channels that have the best chance of producing significant revenue.

Pinpoint claims that are likely to be fraudulent

Read more

Predicting fraudulent claims is a daunting challenge that can cost more than the original cost of the claim itself. Deep learning predictive analytics help pinpoint the claims that are likely to be fraudulent and that should be researched with high scrutiny by human auditors.

Predict in real-time if a specific request for information is a security breach

Read more

This strategy could be particularly effective for preventing ransomware from affecting an organization. Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predict in real-time if a specific transaction is fraudulent

Read more

Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predicting the best next offer

Read more

Traditionally, if a salesperson noticed you purchased an expensive shirt, then they might offer a “great deal” on 3 high quality ties to match new shirt. By looking at the historical behavior of your customers, pecan can help retailers determine in real time the best additional product to offer to your customer that is most likely to increase your sale, whether that be a grocery or an appliance basket.

Predictive maintenance

Read more

Predict what is more likely to go wrong and fix it before it deteriorates. For companies with a major investment in infrastructure and equipment, the ability to manage that maintenance effectively is critical. By analysing metrics and data related to the lifecycle maintenance of technical equipment, companies can predict both timelines for probable maintenance events and upcoming capital expenditure requirements, allowing them to streamline their maintenance costs and avoid critical downtime.

Prevent shortage in medicine and equipment - prevent wasteful orders

Read more

Predict accurate demand for medicine and equipment. Using predictive analytics tools to monitor the supply chain and make proactive, data-driven decisions about spending could save hospitals almost $10 million per year, a separate Navigant survey added. Predictive analytics can support decisions to negotiate pricing, reduce the variation in supplies, and optimising the ordering process.

Quality assurance

Read more

Predict potential quality issues and trends before they become truly critical issues.

Up- and cross-selling to specific customers

Read more

Predictive analytics can provide suggestions on which products might be combined to appeal to which specific customer (not only market segments), to increase both your value to your customers, and the revenue derived from your customers. Your customer base is the source of both existing revenue and revenue growth for your company. Because of this, it’s critical to maximize the revenue opportunities that are possible within your market segment and product set.

Adjust pricing in real time

Read more

Traditionally, if a salesperson noticed you were wearing an expensive suit, then they might offer you the same car they sold earlier that day at a higher price. In the same way, now pecan can help you quantify the best price to encourage a specific customer to make the decision to buy while also maximizing profits. Using pecan, retail stores can actually start analyzing previous purchase history as soon as a customer walks into the door, and adjust offers and products accordingly.

Customer lifetime value

Read more

Predict which specific customers or leads that are likely to spend the most money, in the most consistent way and over the longest period of time. This kind of insight allows companies to optimise their marketing to increase their share of that segment of the business, and gain those customers that will have the greatest lifetime value to your company.

Identify and define best market and audiences for your product

Read more

Predictive analytics can identify target markets based on real data and indicators, and further identify the segments of those markets that are most receptive to what your company offers. This same data can also help to identify segments and potentially even entire markets that you didn’t even realise existed.

Identify the likelihood to skip an appointment without advanced notice

Read more

Cut down on revenue losses, and give organizations the opportunity to offer open slots to other clients, thereby increasing speedy access to the service.

Next best action

Read more

Predict the best way to approach individual customers, giving you insight into the best times and channels to connect to those customers.

Optimise marketing spending

Read more

(Digital and non digital, including BTL) Predict what customers are more likely to buy your products and services, as well as the channels are most likely to reach those customers. This allows marketing to maximize those channels that have the best chance of producing significant revenue.

Pinpoint claims that are likely to be fraudulent

Read more

Predicting fraudulent claims is a daunting challenge that can cost more than the original cost of the claim itself. Deep learning predictive analytics help pinpoint the claims that are likely to be fraudulent and that should be researched with high scrutiny by human auditors.

Predict in real-time if a specific request for information is a security breach

Read more

This strategy could be particularly effective for preventing ransomware from affecting an organization. Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predict when it is about to get busy

Read more

Using analytics to predict patterns in utilization can help to ensure optimal staffing levels while reducing wait times and raising client satisfaction.

Predicting the best next offer

Read more

Traditionally, if a salesperson noticed you purchased an expensive shirt, then they might offer a “great deal” on 3 high quality ties to match new shirt. By looking at the historical behavior of your customers, pecan can help retailers determine in real time the best additional product to offer to your customer that is most likely to increase your sale, whether that be a grocery or an appliance basket.

Predictive maintenance

Read more

Predict what is more likely to go wrong and fix it before it deteriorates. For companies with a major investment in infrastructure and equipment, the ability to manage that maintenance effectively is critical. By analysing metrics and data related to the lifecycle maintenance of technical equipment, companies can predict both timelines for probable maintenance events and upcoming capital expenditure requirements, allowing them to streamline their maintenance costs and avoid critical downtime.

Prevent shortage in medicine and equipment - prevent wasteful orders

Read more

Predict accurate demand for medicine and equipment. Using predictive analytics tools to monitor the supply chain and make proactive, data-driven decisions about spending could save hospitals almost $10 million per year, a separate Navigant survey added. Predictive analytics can support decisions to negotiate pricing, reduce the variation in supplies, and optimising the ordering process.

Up- and cross-selling to specific customers

Read more

Predictive analytics can provide suggestions on which products might be combined to appeal to which specific customer (not only market segments), to increase both your value to your customers, and the revenue derived from your customers. Your customer base is the source of both existing revenue and revenue growth for your company. Because of this, it’s critical to maximize the revenue opportunities that are possible within your market segment and product set.

Creating risk scores

Read more

Which individuals might benefit from enhanced services or wellness activities.

Design discharge planning protocols to prevent speedy returns to the hospital

Read more

Certain events occurring during a hospital stay, such as a C. difficile infection, vital sign instability upon discharge, and overall longer length of stay, resulted in a significantly elevated chance of a 30-day readmission. Analytics tools that can identify patients with traits that produce a high impact on the likelihood of readmission can give providers an extra indication of when to focus resources on follow-up and how to design discharge planning protocols to prevent speedy returns to the hospital.

Develop precision medication

Read more

Deep learning can be used to predict clinical outcomes, inform clinical trial designs, support evidence of effectiveness, optimize dosing, predict product safety, and evaluate potential adverse event mechanisms. Predictive analytics and clinical decision support tools are playing key roles in translating new drugs into precision therapies, as well.

Faster reaction time to deteriorating conditions

Read more

React as quickly as possible to changes in a patient’s vitals, and identify an upcoming deterioration before symptoms clearly manifest themselves to the naked eye. AI strategies are particularly well suited to predicting clinical events in the hospital, such as the development of an acute kidney injury (AKI) or sepsis.

Identify and define best market and audiences for your product

Read more

Predictive analytics can identify target markets based on real data and indicators, and further identify the segments of those markets that are most receptive to what your company offers. This same data can also help to identify segments and potentially even entire markets that you didn’t even realise existed.

Identify the likelihood to skip an appointment without advanced notice

Read more

Cut down on revenue losses, and give organizations the opportunity to offer open slots to other clients, thereby increasing speedy access to the service.

Likelihood for readmission

Read more

Warn healthcare providers when a patient’s risk factors indicate a high likelihood for readmission within the 30-day window (there is high penalties involved for the provider in cases or readmission)

Predict how likely a patient will accept and fulfil the doctor’s medical recommendations

Read more

Use predictive models to look at all the variables, and help prioritize those patients who are really going to be receptive to changing something in their lifestyle, such as nutrition or exercise

Predict when it is about to get busy

Read more

Using analytics to predict patterns in utilization can help to ensure optimal staffing levels while reducing wait times and raising client satisfaction.

Predictive maintenance

Read more

Predict what is more likely to go wrong and fix it before it deteriorates. For companies with a major investment in infrastructure and equipment, the ability to manage that maintenance effectively is critical. By analysing metrics and data related to the lifecycle maintenance of technical equipment, companies can predict both timelines for probable maintenance events and upcoming capital expenditure requirements, allowing them to streamline their maintenance costs and avoid critical downtime.

Prevent shortage in medicine and equipment - prevent wasteful orders

Read more

Predict accurate demand for medicine and equipment. Using predictive analytics tools to monitor the supply chain and make proactive, data-driven decisions about spending could save hospitals almost $10 million per year, a separate Navigant survey added. Predictive analytics can support decisions to negotiate pricing, reduce the variation in supplies, and optimising the ordering process.

Proactive intervention

Read more

Proactively identify patients who are at highest risk of poor health outcomes and will benefit most from intervention

Quality assurance

Read more

Predict potential quality issues and trends before they become truly critical issues.

Support suicide risk detection

Read more

Early identification of individuals likely to cause harm to themselves. Ensure that these patients receive the mental healthcare they need to avoid serious events, including suicide.

The likelihood of the customer's maintenance of policies or their surrender

Read more

Pecan's algorithms use special filtering systems to spot the preferences and peculiarities in the customers’ choices. Pecan includes analysis of the data gained from simple questionnaires concerning demographic data and some personal information regarding the insurance experience and the insurance object. On the basis of these insights, Pecan generates more targeted insurance propositions tailored for specific customers. Using predictions made by pecan insurance companies can avoid the ambiguity of the offering home insurance to a customer who is searching for a car insurance proposition.

Adjust pricing in real time

Read more

Traditionally, if a salesperson noticed you were wearing an expensive suit, then they might offer you the same car they sold earlier that day at a higher price. In the same way, now pecan can help you quantify the best price to encourage a specific customer to make the decision to buy while also maximizing profits. Using pecan, retail stores can actually start analyzing previous purchase history as soon as a customer walks into the door, and adjust offers and products accordingly.

Identify and define best market and audiences for your product

Read more

Predictive analytics can identify target markets based on real data and indicators, and further identify the segments of those markets that are most receptive to what your company offers. This same data can also help to identify segments and potentially even entire markets that you didn’t even realise existed.

Identify the likelihood to skip an appointment without advanced notice

Read more

Cut down on revenue losses, and give organizations the opportunity to offer open slots to other clients, thereby increasing speedy access to the service.

Next best action

Read more

Predict the best way to approach individual customers, giving you insight into the best times and channels to connect to those customers.

Optimise marketing spending

Read more

(Digital and non digital, including BTL) Predict what customers are more likely to buy your products and services, as well as the channels are most likely to reach those customers. This allows marketing to maximize those channels that have the best chance of producing significant revenue.

Pinpoint claims that are likely to be fraudulent

Read more

Predicting fraudulent claims is a daunting challenge that can cost more than the original cost of the claim itself. Deep learning predictive analytics help pinpoint the claims that are likely to be fraudulent and that should be researched with high scrutiny by human auditors.

Predict in real-time if a specific request for information is a security breach

Read more

This strategy could be particularly effective for preventing ransomware from affecting an organization. Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predict in real-time if a specific transaction is fraudulent

Read more

Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predicting the best next offer

Read more

Traditionally, if a salesperson noticed you purchased an expensive shirt, then they might offer a “great deal” on 3 high quality ties to match new shirt. By looking at the historical behavior of your customers, pecan can help retailers determine in real time the best additional product to offer to your customer that is most likely to increase your sale, whether that be a grocery or an appliance basket.

Predictive maintenance

Read more

Predict what is more likely to go wrong and fix it before it deteriorates. For companies with a major investment in infrastructure and equipment, the ability to manage that maintenance effectively is critical. By analysing metrics and data related to the lifecycle maintenance of technical equipment, companies can predict both timelines for probable maintenance events and upcoming capital expenditure requirements, allowing them to streamline their maintenance costs and avoid critical downtime.

Quality assurance

Read more

Predict potential quality issues and trends before they become truly critical issues.

Up- and cross-selling to specific customers

Read more

Predictive analytics can provide suggestions on which products might be combined to appeal to which specific customer (not only market segments), to increase both your value to your customers, and the revenue derived from your customers. Your customer base is the source of both existing revenue and revenue growth for your company. Because of this, it’s critical to maximize the revenue opportunities that are possible within your market segment and product set.

Identify and define best market and audiences for your product

Read more

Predictive analytics can identify target markets based on real data and indicators, and further identify the segments of those markets that are most receptive to what your company offers. This same data can also help to identify segments and potentially even entire markets that you didn’t even realise existed.

Identify the likelihood to skip an appointment without advanced notice

Read more

Cut down on revenue losses, and give organizations the opportunity to offer open slots to other clients, thereby increasing speedy access to the service.

Predict in real-time if a specific request for information is a security breach

Read more

This strategy could be particularly effective for preventing ransomware from affecting an organization. Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predictive maintenance

Read more

Predict what is more likely to go wrong and fix it before it deteriorates. For companies with a major investment in infrastructure and equipment, the ability to manage that maintenance effectively is critical. By analysing metrics and data related to the lifecycle maintenance of technical equipment, companies can predict both timelines for probable maintenance events and upcoming capital expenditure requirements, allowing them to streamline their maintenance costs and avoid critical downtime.

Prevent shortage in medicine and equipment - prevent wasteful orders

Read more

Predict accurate demand for medicine and equipment. Using predictive analytics tools to monitor the supply chain and make proactive, data-driven decisions about spending could save hospitals almost $10 million per year, a separate Navigant survey added. Predictive analytics can support decisions to negotiate pricing, reduce the variation in supplies, and optimising the ordering process.

Quality assurance

Read more

Predict potential quality issues and trends before they become truly critical issues.

Adjust pricing in real time

Read more

Traditionally, if a salesperson noticed you were wearing an expensive suit, then they might offer you the same car they sold earlier that day at a higher price. In the same way, now pecan can help you quantify the best price to encourage a specific customer to make the decision to buy while also maximizing profits. Using pecan, retail stores can actually start analyzing previous purchase history as soon as a customer walks into the door, and adjust offers and products accordingly.

Churn prevention

Read more

Identifying signs of dissatisfaction among a specific customer, identify those customers that are at the most risk for leaving, and the variables affecting the decision to leave. Using that information, companies can then make the necessary changes to keep those customers happy and protect their revenue.

Customer lifetime value

Read more

Predict which specific customers or leads that are likely to spend the most money, in the most consistent way and over the longest period of time. This kind of insight allows companies to optimise their marketing to increase their share of that segment of the business, and gain those customers that will have the greatest lifetime value to your company.

Identify and define best market and audiences for your product

Read more

Predictive analytics can identify target markets based on real data and indicators, and further identify the segments of those markets that are most receptive to what your company offers. This same data can also help to identify segments and potentially even entire markets that you didn’t even realise existed.

Identify the likelihood to skip an appointment without advanced notice

Read more

Cut down on revenue losses, and give organizations the opportunity to offer open slots to other clients, thereby increasing speedy access to the service.

Next best action

Read more

Predict the best way to approach individual customers, giving you insight into the best times and channels to connect to those customers.

Optimise marketing spending

Read more

(Digital and non digital, including BTL) Predict what customers are more likely to buy your products and services, as well as the channels are most likely to reach those customers. This allows marketing to maximize those channels that have the best chance of producing significant revenue.

Predict in real-time if a specific transaction is fraudulent

Read more

Adoption of sophisticated algorithmic defenses such as machine learning or artificial intelligence solutions will transform cyber defenses beyond the capabilities of average attackers.

Predicting the best next offer

Read more

Traditionally, if a salesperson noticed you purchased an expensive shirt, then they might offer a “great deal” on 3 high quality ties to match new shirt. By looking at the historical behavior of your customers, pecan can help retailers determine in real time the best additional product to offer to your customer that is most likely to increase your sale, whether that be a grocery or an appliance basket.

Predictive maintenance

Read more

Predict what is more likely to go wrong and fix it before it deteriorates. For companies with a major investment in infrastructure and equipment, the ability to manage that maintenance effectively is critical. By analysing metrics and data related to the lifecycle maintenance of technical equipment, companies can predict both timelines for probable maintenance events and upcoming capital expenditure requirements, allowing them to streamline their maintenance costs and avoid critical downtime.

Up- and cross-selling to specific customers

Read more

Predictive analytics can provide suggestions on which products might be combined to appeal to which specific customer (not only market segments), to increase both your value to your customers, and the revenue derived from your customers. Your customer base is the source of both existing revenue and revenue growth for your company. Because of this, it’s critical to maximize the revenue opportunities that are possible within your market segment and product set.

It's time to plug your organization into its future.

Start your free demo
By clicking the button, you agree to the EULA
Click Here to Read Pecan's Security and Privacy Policy
After clicking, you will be returned to the page