Examples of the use of artificial intelligence in various industries and business sectors
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Analyzing chronic conditions using laboratory data and other medical data to enable early diagnosis
Assisted or automated diagnosis & prescription
Advanced medical imaging to highlight potentially harmful areas and model potential situations.
Medical image analysis
Use AI to better analyze the effectiveness of drugs and medical devices
Medical device effectiveness analysis
Tracking media activity provides insights into PR efforts. This makes it possible to highlight what drives engagement, traffic and revenue.
PR analytics
Advanced analytics of all sales call data to uncover insights to improve sales effectiveness
Customer sales contact analysis
Let working, intelligent, self-improving bots make initial connections with leads 24/7. High-quality, responsive leads are called by live agents and increase sales effectiveness.
sales agent
Bots listen to calls from salespeople and suggest best practice answers or the best next steps to improve sales effectiveness.
Phone support for sales reps
Intelligent allocation of shipment requirements.
Based on a customer's needs and location, the best warehouse is selected for shipping.
Allocation of warehouses
Price optimization, also known as dynamic pricing or demand pricing, enables companies to optimize price reductions. Optimal discounts minimize cannibalization and maximize revenue at the same time. Dynamic pricing is one of the easiest transformations a company can achieve. They have a direct effect on the end result and can be introduced within a few days.
Dynamic pricing
By creating connections between different goods, which are typically ordered together, commission times can be drastically reduced.
Bundling of goods
Recommendation systems use customer data to retain and improve customers with personalized recommendations via email, website search, or other channels.
Referral service
To prevent malfunctions or poor maintenance from leading to expensive downtime, an algorithm predicts the risk of equipment failure and the need for maintenance.
Predictive maintenance
AI can predict service cases and thus increase accuracy when planning service and maintenance.
Predicting service cases
Use machine learning to take your inventory and supply chain optimization to the next level
Inventory forecasting
Predicting energy demand and managing energy production.
Energy demand forecast
By using entity and sentiment analysis, emails can be automatically classified, which requires up to 40% less manual work.
categorize messages
With the help of chatbots, companies can create a kind of more dynamic FAQ page or use it internally as a tool to increase the productivity of their own employees.
Chatbot
Financial risk scoring
Credit scoring
AI agents detect changes in code, APIs, and tickets, automatically updating architecture, API, and operational documentation. Reviews ensure technical accuracy.
Keep technical documentation up to date
Independent coordination of tasks, status updates and dependencies, with clear transparency for project managers.
Project & administrative management agents
AI analyses legacy code, suggests modern architecture and technology approaches, and supports developers in automated migration to sustainable systems.