INDUSTRY EXPERTISE

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

AI applications help Finance and Insurance professionals with everything from loan approval and assets management, to risk assessment.

Pharma & Biotech icon

PHARMA & BIOTECH

The value of AI in Pharma and Biotech manufacturing lies in reducing product defects, automating quality controls, increasing capacity, and streamlining maintenance.

Transport & Logistics icon

TRANSPORT & LOGISTICS

AI analyzes and improves many areas within Logistics and Transportation companies, moving people from iterative and low-value activities to more value-creating and customer-facing tasks.

Public sector icon

PUBLIC

AI assists Public institutions that are being pressed by private companies and new generations in providing better service at a lower cost with the adoption of new technology as opposed to legacy IT systems.

Legal & Accounting icon

LEGAL & ACCOUNTING

 In the Legal sector, AI automates tedious manual processes, allowing organizations to devote more time to valuable and strategic work while cutting costs, increasing accuracy, and enhancing service.

Manufacturing icon

MANUFACTURING

The value of AI in Manufacturing lies in reducing product defects, automating quality control, increasing capacity, and streamlining maintenance. Highly automated manufacturers with sensors and controllers are ideal candidates for AI.

Retail & Marketing icon

RETAIL

Intelligent planning and operating systems help Retail companies enhance their capabilities. These small efficiency gains can translate into big net income results in this industry’s highly competitive environment.

Utilities icon

UTILITIES

The Utility industry benefits greatly from AI by automating repetitive tasks. In an industry dominated by manual work. Automation can help cut costs, optimize efficiency, enhance customer service, and fix problems before they evolve.

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Client cases

Maersk Tankers and 2021.AI created AI models for the shipping industry

Maersk Tankers optimizes revenue opportunities in the shipping industry

“Together with 2021.AI we are creating some of the most advanced and ambitious forecast models for the shipping industry. This collaboration offers new ways of increasing efficiencies running our global fleet. We are leveraging 2021.AI’s expertise in developing advanced forecast models.”

Spar Nord works with 2021.AI to cut emails handled by customer service

Spar Nord uses AI to cut emails handled by customer service by 50%

“We went from challenge to implementation and actual cost savings in a very short time span. We received an algorithm that was clean and easy to implement in less than a week. The collaboration with 2021.AI showed us that AI is the key for Spar Nord to remain competitive in the future.”

MINIFINANS PREDICTS INTEREST PAYMENTS WITH 80% ACCURACY using Grace AI Platform

MiniFinans predicts interest payments with 80% accuracy

“The advanced models developed by 2021.AI has saved us time and lowered risk, now we can assess loan seekers with up to 80% accuracy and reduce the risk of fraud. Having implemented several AI models via the Grace AI Platform positions us among the first in our business to do so, shaping our competitiveness and the future of our business.”

Use cases by industries

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 – PHARMA
INVENTORY PREDICTION – PHARMA
EMAIL ROUTING – CLASSIFICATION
EMAIL ROUTING – CLASSIFICATION
SORTING AND SCRAP REDUCTION – PHARMA
SORTING AND SCRAP REDUCTION – PHARMA
CUSTOMER TARGETING
CUSTOMER TARGETING
PREDICTIVE MAINTENANCE – UTILITIES
PREDICTIVE MAINTENANCE – UTILITIES
CLIENT REACTION BASED ON SCENARIOS – TRANSPORT
CLIENT REACTION BASED ON SCENARIOS – TRANSPORT
EMAIL ROUTING – REDUCING MANUAL WORK
EMAIL ROUTING – REDUCING MANUAL WORK
DEMAND FORECASTING – INVENTORY
DEMAND FORECASTING – INVENTORY
LEAD QUALIFICATION – LOWERING ACQUISITIONS COST
LEAD QUALIFICATION – LOWERING ACQUISITIONS COST
PAYMENT MATCHING
PAYMENT MATCHING
CLIENT REACTION BASED ON SCENARIOS – PUBLIC
CLIENT REACTION BASED ON SCENARIOS – PUBLIC
RECOMMENDER SYSTEM
RECOMMENDER SYSTEM
PRODUCTION PLANNING
PRODUCTION PLANNING
CREDIT SCORING
CREDIT SCORING
TIME TO DELIVERY PREDICTION
TIME TO DELIVERY PREDICTION
LEAD QUALIFICATION – UP TP 80 % ACCURACY
LEAD QUALIFICATION – UP TP 80 % ACCURACY
PHRASE DETECTION
PHRASE DETECTION
PREDICTION OF SERVICE CASES – UTILITIES
PREDICTION OF SERVICE CASES – UTILITIES
CHURN PREDICTION – LIFECYCLES AND LIKELIHOOD OF CHURN
CHURN PREDICTION – LIFECYCLES AND LIKELIHOOD OF CHURN
INVENTORY PREDICTION – MANUFACTURING
INVENTORY PREDICTION – MANUFACTURING
PREDICTIVE MAINTENANCE – PHARMA
PREDICTIVE MAINTENANCE – PHARMA
CHATBOT – PUBLIC
CHATBOT – PUBLIC
WAREHOUSE ASSIGNMENT
WAREHOUSE ASSIGNMENT
PREDICTIVE MAINTENANCE – MANUFACTURING
PREDICTIVE MAINTENANCE – MANUFACTURING
INCREASE OUTPUT – MODELLING PATTERNS
INCREASE OUTPUT – MODELLING PATTERNS
PREDICT TIME ON A SERVICE REQUEST
PREDICT TIME ON A SERVICE REQUEST
CATEGORIZE COMPANIES OR INDIVIDUALS
CATEGORIZE COMPANIES OR INDIVIDUALS
ENVIRONMENT MONITORING
ENVIRONMENT MONITORING
MESSAGE CATEGORIZATION
MESSAGE CATEGORIZATION
INVENTORY PREDICTION – TRANSPORT
INVENTORY PREDICTION – TRANSPORT
CONTENT COMPARISON – PUBLIC
CONTENT COMPARISON – PUBLIC
CASE COMPLEXITY
CASE COMPLEXITY
PRODUCTION PLANNING
PRODUCTION PLANNING
PREDICTION OF ENERGY EFFICIENCY
PREDICTION OF ENERGY EFFICIENCY
CHATBOTS – UTILITIES
CHATBOTS – UTILITIES
IN-PROCESS CONTROLS – ERRORS IN PHARMA
IN-PROCESS CONTROLS – ERRORS IN PHARMA
CHURN
CHURN
INVENTORY PREDICTION – TIMING OF PURCHASES
INVENTORY PREDICTION – TIMING OF PURCHASES
MARKET DATA CLEANING
MARKET DATA CLEANING
PREDICTION OF SERVICE CASES – MANUFACTURING
PREDICTION OF SERVICE CASES – MANUFACTURING
SETTLEMENT PREDICTION
SETTLEMENT PREDICTION
INCREASE OUTPUT – PERFECT BATCH
INCREASE OUTPUT – PERFECT BATCH
CLIENT REACTION BASED ON SCENARIOS – FINANCE
CLIENT REACTION BASED ON SCENARIOS – FINANCE
PREDICTION OF SERVICE CASES
PREDICTION OF SERVICE CASES
EMAIL ROUTING – CLASSIFICATION IN THE PUBLIC SECTOR
EMAIL ROUTING – CLASSIFICATION IN THE PUBLIC SECTOR
FRAUD PREDICTION
FRAUD PREDICTION
PAYBACK OF ACCOUNT PAYABLE
PAYBACK OF ACCOUNT PAYABLE
SLOTTING OF GOODS
SLOTTING OF GOODS
DOCUMENT SEARCH – MANUFACTURING
DOCUMENT SEARCH – MANUFACTURING
DEMAND FORECASTING FOR ENERGY
DEMAND FORECASTING FOR ENERGY
CHURN PREDICTION – INSIGHTS AND LIKELIHOOD OF CHURN
CHURN PREDICTION – INSIGHTS AND LIKELIHOOD OF CHURN
SORTING AND SCRAP REDUCTION – MANUFACTURING
SORTING AND SCRAP REDUCTION – MANUFACTURING
IN-PROCESS CONTROLS – ERRORS IN MANUFACTURING
IN-PROCESS CONTROLS – ERRORS IN MANUFACTURING
DOCUMENT SEARCH – PHARMA
DOCUMENT SEARCH – PHARMA
PRICE PREDICTION
PRICE PREDICTION
CHURN PREDICTION – PROACTIVE MEASURES
CHURN PREDICTION – PROACTIVE MEASURES
 
  • All
  • FINANCE & INSURANCE
  • MANUFACTURING
  • PHARMA & BIOTECH
  • PUBLIC
  • RETAIL & MARKETING
  • TRANSPORT & LOGISTICS
  • UTILITIES
 
CHATBOTS – UTILITIES
CHATBOTS – UTILITIES
Improving instant communication with clients and having a more dynamic Q&A page that customers like to use
SETTLEMENT PREDICTION
SETTLEMENT PREDICTION
Predicting whether a settlement will be effectuated before a given deadline or not, based on actual and historical settlements
PREDICTION OF SERVICE CASES
PREDICTION OF SERVICE CASES
A supervised algorithm predicting service cases, and thus increasing accuracy in the planning of service and maintenance
CLIENT REACTION BASED ON SCENARIOS – TRANSPORT
CLIENT REACTION BASED ON SCENARIOS – TRANSPORT
A model predicting which client might react in a specific scenario
MESSAGE CATEGORIZATION
MESSAGE CATEGORIZATION
Classification of messages, emails or documents for human or automated processing
INVENTORY PREDICTION – PHARMA
INVENTORY PREDICTION – 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
PRODUCTION PLANNING
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
CHURN PREDICTION – PROACTIVE MEASURES
CHURN PREDICTION – PROACTIVE MEASURES
An algorithm defining which customers are going to leave and for what reasons, thus empowering marketing team to take proactive measures
LEAD QUALIFICATION – UP TP 80 % ACCURACY
LEAD QUALIFICATION – UP TP 80 % ACCURACY
A supervised learning algorithm predicts whether a customer is most likely to become a lead. ~80 % accurate prediction of chance to convert a lead
PREDICT TIME ON A SERVICE REQUEST
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
TIME TO DELIVERY PREDICTION
TIME TO DELIVERY PREDICTION
A supervised learning algorithm predicts whether goods might be delivered on time or not
DEMAND FORECASTING FOR ENERGY
DEMAND FORECASTING FOR ENERGY
Prediction demands with a supervised learning algorithm, predict the demand for energy and manage its production
CLIENT REACTION BASED ON SCENARIOS – FINANCE
CLIENT REACTION BASED ON SCENARIOS – FINANCE
A supervised model that predicts which client might react in a different market scenario. Later this model can be used to predict which clients react in a simulated market scenario
CHURN
CHURN
Creation of a model that analyzes past client lifecycles and the likelihood of churn. Applying state of the art Shapley additive explanation value analysis to explain what actions are to be taken to reduce the churn probability
DEMAND FORECASTING – INVENTORY
DEMAND FORECASTING – INVENTORY
Anticipating future demand is important as inventory needs to be bought several weeks or months in advance. Accurate forecasts can prevent from losing revenue due to empty stocks
PRODUCTION PLANNING
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
INCREASE OUTPUT – MODELLING PATTERNS
INCREASE OUTPUT – MODELLING PATTERNS
Modelling patterns between input and output of the batches and analyzing performance parameters can increase output substantially
LEAD QUALIFICATION – LOWERING ACQUISITIONS COST
LEAD QUALIFICATION – LOWERING ACQUISITIONS COST
Focus on acquiring the right customers is paramount to ensure low acquisition cost and high customer lifetime. An algorithm can help sort out which leads are worth spending time and efforts on
PREDICTION OF ENERGY EFFICIENCY
PREDICTION OF ENERGY EFFICIENCY
An algorithm labels homes with energy efficiency class. Decreases the manual work that needs to be done when assigning energy efficiency classes to homes. Can also be applied as a prescan option
SORTING AND SCRAP REDUCTION – PHARMA
SORTING AND SCRAP REDUCTION – PHARMA
Scrap of good products must be minimized and scrap of poor products must be hundred percent. This often results in over scrapping of products
CONTENT COMPARISON – PUBLIC
CONTENT COMPARISON – PUBLIC
An algorithm compares the content of documents and highlights similarities and differences
IN-PROCESS CONTROLS – ERRORS IN PHARMA
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
CUSTOMER TARGETING
CUSTOMER TARGETING
Running marketing campaigns for carefully selected customers based on the key attributes can be automated, boosting ROI while minimizing marketing spends
CLIENT REACTION BASED ON SCENARIOS – PUBLIC
CLIENT REACTION BASED ON SCENARIOS – PUBLIC
A model predicting which client might react in a specific scenario
DOCUMENT SEARCH – MANUFACTURING
DOCUMENT SEARCH – MANUFACTURING
Searching and classifying quality documents can save time and help identify areas for improvement
FRAUD PREDICTION
FRAUD PREDICTION
Predict and find fraud patterns that cannot be seen using traditional rule-based methods
IN-PROCESS CONTROLS – ERRORS IN MANUFACTURING
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
EMAIL ROUTING – CLASSIFICATION
EMAIL ROUTING – CLASSIFICATION
Emails get classified by using a supervised learning algorithm, reducing manual work
CASE COMPLEXITY
CASE COMPLEXITY
Prediction of difficult cases that might take longer to process
DOCUMENT SEARCH – PHARMA
DOCUMENT SEARCH – PHARMA
Searching and classifying quality documents can save time and help identify areas for improvement
CATEGORIZE COMPANIES OR INDIVIDUALS
CATEGORIZE COMPANIES OR INDIVIDUALS
A non-supervised learning algorithm clusters individuals or companies based on descriptive variables
WAREHOUSE ASSIGNMENT
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
PREDICTION OF SERVICE CASES – UTILITIES
PREDICTION OF SERVICE CASES – UTILITIES
A supervised algorithm predicts service cases, increasing accuracy in planning of service and maintenance
PREDICTIVE MAINTENANCE – MANUFACTURING
PREDICTIVE MAINTENANCE – MANUFACTURING
Malfunctions or poor maintenance can result in expensive downtime. An algorithm predicts the risk of equipment failure in production
INVENTORY PREDICTION – MANUFACTURING
INVENTORY PREDICTION – MANUFACTURING
The sale of goods gets predicted and based on that algorithm gives recommendations for store inventory management, allowing inventory or trash reduction
SORTING AND SCRAP REDUCTION – MANUFACTURING
SORTING AND SCRAP REDUCTION – MANUFACTURING
Scrap of good products should be minimized and scrap of poor products should be close to hundred percent. It often results in over scrapping of products
EMAIL ROUTING – REDUCING MANUAL WORK
EMAIL ROUTING – REDUCING MANUAL WORK
Emails get classified by using a supervised learning algorithm, up to 40% reduction in manual work at support desk
INCREASE OUTPUT – PERFECT BATCH
INCREASE OUTPUT – PERFECT BATCH
Modelling patterns between input and output of the batches as well as performance parameters analysis can increase output substantially
INVENTORY PREDICTION – TRANSPORT
INVENTORY PREDICTION – TRANSPORT
The sale of goods gets predicted and with this the algorithm gives recommendation for store inventory management
CHURN PREDICTION – INSIGHTS AND LIKELIHOOD OF CHURN
CHURN PREDICTION – INSIGHTS AND LIKELIHOOD OF CHURN
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
RECOMMENDER SYSTEM
Recommendation engines are a very powerful tool to provide a personalized shopping experience for the customers by tailoring products based on their browsing history
PAYMENT MATCHING
PAYMENT MATCHING
Automating matching of incoming and outgoing payments - and presenting the processor with intelligent choices for “best fit” matches
CHATBOT – PUBLIC
CHATBOT – PUBLIC
A more dynamic Q&A page improving instant communication and interaction with clients
EMAIL ROUTING – CLASSIFICATION IN THE PUBLIC SECTOR
EMAIL ROUTING – CLASSIFICATION IN THE PUBLIC SECTOR
Emails get classified by using a supervised learning algorithm, reducing manual work
CREDIT SCORING
CREDIT SCORING
Using machine learning algorithms to take actual historical data to determine creditworthiness and repayment ability
SLOTTING OF GOODS
SLOTTING OF GOODS
An unsupervised learning algorithm used to show relationships between goods and which goods are typically ordered together - reducing the picking time
PREDICTIVE MAINTENANCE – UTILITIES
PREDICTIVE MAINTENANCE – UTILITIES
Malfunctions or poor maintenance can result in expensive downtime. An algorithm predicts the risk of equipment failure and need for maintenance
ENVIRONMENT MONITORING
ENVIRONMENT MONITORING
Incubation time for environmental samples counts in days and weeks with the risk of production being non-compliant
PRICE PREDICTION
PRICE PREDICTION
Determining the best price for a product by performing market analysis and product comparison will keep the company competitive and attractive for the customers
PREDICTIVE MAINTENANCE – PHARMA
PREDICTIVE MAINTENANCE – PHARMA
Malfunctions or poor maintenance can result in expensive downtime. An algorithm predicts the risk of equipment failure and need for maintenance
PREDICTION OF SERVICE CASES – MANUFACTURING
PREDICTION OF SERVICE CASES – MANUFACTURING
A supervised algorithm predicts service cases, increasing accuracy in planning of service and maintenance
MARKET DATA CLEANING
MARKET DATA CLEANING
Detecting anomalies (e.g. missing values) and then assigning abnormal values an averaged/fitting value
CHURN PREDICTION – LIFECYCLES AND LIKELIHOOD OF CHURN
CHURN PREDICTION – LIFECYCLES AND LIKELIHOOD OF CHURN
Creation of a model that analyzes past client lifecycles and likelihood of churn. By using state of the art shapely additive explanation value analysis, explaining what actions to take to reduce the churn probability
PAYBACK OF ACCOUNT PAYABLE
PAYBACK OF ACCOUNT PAYABLE
For this case a supervised learning approach is used to predict from new customers whether they will be able to pay their accounts payable on time
INVENTORY PREDICTION – TIMING OF PURCHASES
INVENTORY PREDICTION – TIMING OF PURCHASES
Inventory depletion due to customer demand should be balanced by the purchase of new inventory. AI technology can help adjust the timing of purchases right to maintain inventory availability while minimizing ordering and shipping costs
PHRASE DETECTION
PHRASE DETECTION
An algorithm scanning contracts and detecting phrases that are not allowed to use
 

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.