USE CASES

Use cases by industry

We have a strong track record of delivering tangible business results to our clients through AI, across industries. Read about our 8 primary industries and their industry-specific use cases, giving you insights into how implementing AI can increase business value.

  • All
  • FINANCE & INSURANCE
  • MANUFACTURING
  • PHARMA & BIOTECH
  • PUBLIC
  • RETAIL & MARKETING
  • TRANSPORT & LOGISTICS
  • UTILITIES
 
Inventory prediction in Transportation
The sale of goods gets predicted and with this the algorithm gives recommendation for store inventory management
Chatbot in Public sector
A more dynamic Q&A page improving instant communication and interaction with clients
Demand forecasting for energy
Prediction demands with a supervised learning algorithm, predict the demand for energy and manage its production
Predictive maintenance in Utilities
An algorithm predicts the risk of equipment failure and need for maintenance
Predict time on a service request
A supervised learning algorithm predicting how long a request might take to be solved: reducing questions on how long it will take
Inventory prediction – timing of purchases
Inventory depletion due to customer demand should be balanced by the purchase of new inventory.
Chatbots in Utilities
Improving instant communication with clients and having a more dynamic Q&A page that customers like to use
Sorting and scrap reduction in Pharma
Scrap of good products must be minimized and scrap of poor products must be hundred percent.
Churn prediction
A supervised learning algorithm predicting whether a customer is most likely to leave a service or company as a customer, together with insights into reasons for churn
Environment monitoring
Incubation time for environmental samples counts in days and weeks with the risk of production being non-compliant
Sorting and scrap reduction in Manufacturing
Scrap of good products should be minimized and scrap of poor products should be close to hundred percent.
Prediction of service cases in Manufacturing
A supervised algorithm predicts service cases, increasing accuracy in planning of service and maintenance
Email routing – classification in Public sector
Emails get classified by using a supervised learning algorithm, reducing manual work
Case complexity
Prediction of difficult cases that might take longer to process
Churn prediction in Utilities
Creation of a model that analyzes past client lifecycles and likelihood of churn.
Lead qualification
Focus on acquiring the right customers is paramount to ensure low acquisition cost and high customer lifetime.
Market data cleaning
Detecting anomalies (e.g. missing values) and then assigning abnormal values an averaged/fitting value
Email routing – reducing manual work
Emails get classified by using a supervised learning algorithm, up to 40% reduction in manual work at support desk
Slotting of goods
An unsupervised learning algorithm used to show relationships between goods and which goods are typically ordered together
Phrase detection
An algorithm scanning contracts and detecting phrases that are not allowed to use
In-process controls – errors in Manufacturing
Many product errors or machine malfunctions are spotted late in the manufacturing process due to manual in-process controls
Lead qualification – up to 80% accuracy
A supervised learning algorithm predicts whether a customer is most likely to become a lead.
Document search in Manufacturing
Searching and classifying quality documents can save time and help identify areas for improvement
Increase output – perfect batch
Modelling patterns between input and output of the batches as well as performance parameters analysis can increase output substantially
Prediction of service cases
A supervised algorithm predicting service cases, and thus increasing accuracy in the planning of service and maintenance
Recommender system
Recommendation engines are very powerful tool to provide a personalized shopping experience for the customers
Message categorization
Classification of messages, emails or documents for human or automated processing
Inventory prediction in Manufacturing
The sale of goods gets predicted and based on that algorithm gives recommendations for store inventory management, allowing inventory or trash reduction
Credit scoring
Using machine learning algorithms to take actual historical data to determine creditworthiness and repayment ability
Predictive maintenance in Manufacturing
An algorithm predicts the risk of equipment failure in production
Price prediction
Determining the best price for a product by performing market analysis and product comparison will keep the company attractive for the customers
Content comparison in Public sector
An algorithm compares the content of documents and highlights similarities and differences
Client reaction based on scenarios in Finance
A supervised model that predicts which client might react in a different market scenario.
Prediction of service cases in Utilities
A supervised algorithm predicts service cases, increasing accuracy in planning of service and maintenance
Predictive maintenance in Pharma
An algorithm predicts the risk of equipment failure and need for maintenance
Client reaction based on scenarios in Public sector
A model predicting which client might react in a specific scenario
Document search in Pharma
Searching and classifying quality documents can save time and help identify areas for improvement
Increase output – modelling patterns
Modelling patterns between input and output of the batches and analyzing performance parameters can increase output substantially
Demand forecasting – inventory
Anticipating future demand is important as inventory needs to be bought several weeks or months in advance.
Payback of account payable
A supervised learning approach is used to predict from new customers whether they will be able to pay their accounts payable on time
Churn
Creation of a model that analyzes past client lifecycles and the likelihood of churn.
Production planning
A model can identify hidden patterns in historical sales data - such as those in seasonal demand and subsidiary behavior or new product launches
Fraud predition
Predict and find fraud patterns that cannot be seen using traditional rule-based methods
Inventory prediction in Pharma
The sale of goods gets predicted and based on that algorithm gives recommendations for store inventory management, this allows reducing of inventory of trash
Prediction of energy efficiency
An algorithm labels homes with energy efficiency class.
Categorize companies or individuals
A non-supervised learning algorithm clusters individuals or companies based on descriptive variables
Churn prediction – proactive measures
An algorithm defining which customers are going to leave, thus empowering marketing team to take proactive measures
Client reaction based on scenarios in Transportation
A model predicting which client might react in a specific scenario
Customer targeting
Running marketing campaigns for carefully selected customers can be automated, boosting ROI while minimizing marketing spends
Email routing – classification
Emails get classified by using a supervised learning algorithm, reducing manual work
Settlement prediction
Predicting whether a settlement will be effectuated before a given deadline or not, based on actual and historical settlements
Production planning
A model can identify hidden patterns in historical sales data, such as those in seasonal demand and subsidiary behavior or new product launches
Time to delivery prediction
A supervised learning algorithm predicts whether goods might be delivered on time or not
Payment matching
Automating matching of incoming and outgoing payments - and presenting the processor with intelligent choices for "best fit" matches
Warehouse assignment
An algorithm processing shipment requests and assigning them to a warehouse based on its location and how the inventory fits the clients' needs
In-process controls – errors in Pharma
Many product errors or machine malfunctions are caught late in the manufacturing process, due to manual in-process controls
 
  • All
  • FINANCE & INSURANCE
  • MANUFACTURING
  • PHARMA & BIOTECH
  • PUBLIC
  • RETAIL & MARKETING
  • TRANSPORT & LOGISTICS
  • UTILITIES
 
Churn prediction in Utilities
Creation of a model that analyzes past client lifecycles and likelihood of churn.
Price prediction
Determining the best price for a product by performing market analysis and product comparison will keep the company attractive for the customers
Inventory prediction in Manufacturing
The sale of goods gets predicted and based on that algorithm gives recommendations for store inventory management, allowing inventory or trash reduction
Lead qualification – up to 80% accuracy
A supervised learning algorithm predicts whether a customer is most likely to become a lead.
Customer targeting
Running marketing campaigns for carefully selected customers can be automated, boosting ROI while minimizing marketing spends
Chatbots in Utilities
Improving instant communication with clients and having a more dynamic Q&A page that customers like to use
Prediction of service cases
A supervised algorithm predicting service cases, and thus increasing accuracy in the planning of service and maintenance
Demand forecasting for energy
Prediction demands with a supervised learning algorithm, predict the demand for energy and manage its production
Predictive maintenance in Pharma
An algorithm predicts the risk of equipment failure and need for maintenance
Prediction of energy efficiency
An algorithm labels homes with energy efficiency class.
Predict time on a service request
A supervised learning algorithm predicting how long a request might take to be solved: reducing questions on how long it will take
Inventory prediction in Pharma
The sale of goods gets predicted and based on that algorithm gives recommendations for store inventory management, this allows reducing of inventory of trash
Warehouse assignment
An algorithm processing shipment requests and assigning them to a warehouse based on its location and how the inventory fits the clients' needs
Email routing – classification
Emails get classified by using a supervised learning algorithm, reducing manual work
Predictive maintenance in Manufacturing
An algorithm predicts the risk of equipment failure in production
Chatbot in Public sector
A more dynamic Q&A page improving instant communication and interaction with clients
Document search in Pharma
Searching and classifying quality documents can save time and help identify areas for improvement
Sorting and scrap reduction in Manufacturing
Scrap of good products should be minimized and scrap of poor products should be close to hundred percent.
Predictive maintenance in Utilities
An algorithm predicts the risk of equipment failure and need for maintenance
Inventory prediction in Transportation
The sale of goods gets predicted and with this the algorithm gives recommendation for store inventory management
Fraud predition
Predict and find fraud patterns that cannot be seen using traditional rule-based methods
Increase output – modelling patterns
Modelling patterns between input and output of the batches and analyzing performance parameters can increase output substantially
Email routing – reducing manual work
Emails get classified by using a supervised learning algorithm, up to 40% reduction in manual work at support desk
Content comparison in Public sector
An algorithm compares the content of documents and highlights similarities and differences
Phrase detection
An algorithm scanning contracts and detecting phrases that are not allowed to use
Document search in Manufacturing
Searching and classifying quality documents can save time and help identify areas for improvement
Time to delivery prediction
A supervised learning algorithm predicts whether goods might be delivered on time or not
Message categorization
Classification of messages, emails or documents for human or automated processing
Client reaction based on scenarios in Finance
A supervised model that predicts which client might react in a different market scenario.
In-process controls – errors in Pharma
Many product errors or machine malfunctions are caught late in the manufacturing process, due to manual in-process controls
Client reaction based on scenarios in Transportation
A model predicting which client might react in a specific scenario
Production planning
A model can identify hidden patterns in historical sales data, such as those in seasonal demand and subsidiary behavior or new product launches
Email routing – classification in Public sector
Emails get classified by using a supervised learning algorithm, reducing manual work
Increase output – perfect batch
Modelling patterns between input and output of the batches as well as performance parameters analysis can increase output substantially
Churn
Creation of a model that analyzes past client lifecycles and the likelihood of churn.
Prediction of service cases in Manufacturing
A supervised algorithm predicts service cases, increasing accuracy in planning of service and maintenance
Lead qualification
Focus on acquiring the right customers is paramount to ensure low acquisition cost and high customer lifetime.
Case complexity
Prediction of difficult cases that might take longer to process
Churn prediction
A supervised learning algorithm predicting whether a customer is most likely to leave a service or company as a customer, together with insights into reasons for churn
Recommender system
Recommendation engines are very powerful tool to provide a personalized shopping experience for the customers
Categorize companies or individuals
A non-supervised learning algorithm clusters individuals or companies based on descriptive variables
Prediction of service cases in Utilities
A supervised algorithm predicts service cases, increasing accuracy in planning of service and maintenance
Environment monitoring
Incubation time for environmental samples counts in days and weeks with the risk of production being non-compliant
Market data cleaning
Detecting anomalies (e.g. missing values) and then assigning abnormal values an averaged/fitting value
Slotting of goods
An unsupervised learning algorithm used to show relationships between goods and which goods are typically ordered together
Credit scoring
Using machine learning algorithms to take actual historical data to determine creditworthiness and repayment ability
Demand forecasting – inventory
Anticipating future demand is important as inventory needs to be bought several weeks or months in advance.
Settlement prediction
Predicting whether a settlement will be effectuated before a given deadline or not, based on actual and historical settlements
Client reaction based on scenarios in Public sector
A model predicting which client might react in a specific scenario
Production planning
A model can identify hidden patterns in historical sales data - such as those in seasonal demand and subsidiary behavior or new product launches
Payment matching
Automating matching of incoming and outgoing payments - and presenting the processor with intelligent choices for "best fit" matches
Inventory prediction – timing of purchases
Inventory depletion due to customer demand should be balanced by the purchase of new inventory.
Sorting and scrap reduction in Pharma
Scrap of good products must be minimized and scrap of poor products must be hundred percent.
Churn prediction – proactive measures
An algorithm defining which customers are going to leave, thus empowering marketing team to take proactive measures
Payback of account payable
A supervised learning approach is used to predict from new customers whether they will be able to pay their accounts payable on time
In-process controls – errors in Manufacturing
Many product errors or machine malfunctions are spotted late in the manufacturing process due to manual in-process controls
 

Cross-industry expertise

We provide personalized AI solutions across 8 different industries and sectors. Our team will work hand in hand with your organization to identify your individual needs and demonstrate how applying AI can simplify tasks, solve challenges, and bring real business value to your organization.

Finance & Insurance icon

Finance & Insurance

Pharma & Biotech icon

Pharma & Biotech

Transportation & Logistics icon

Transport & Logistics

Public icon

Public

Legal & Accounting icon

Legal & Accounting

Manufacturing icon

Manufacturing

Retail & Marketing icon

Marketing & Retail

Utilities icon

Utilities

Client cases

We support our clients with a combination of data science expertise, our Grace AI Platform and enterprise technology experience for successful AI adoption and implementation.

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