Automated Catalogue Maintenance in Procurement Systems
Use Case Family
Automation, Predictive Analytics & Forecasting
Business Domain
Procurement
Processes
Catalogue data maintenance and price updating
Challenge
Manual updates of procurement catalogues regarding product prices and availability are time-consuming, error-prone, and inefficient. As the number of suppliers grows, tracking all changes becomes overwhelming, resulting in order delays and increased procurement costs.
Solution
An AI-driven system using Machine Learning and Robotic Process Automation (RPA) continuously analyzes supplier price lists and availability data. It identifies trends and automatically updates the internal procurement catalogues, reducing manual efforts and ensuring timely, accurate data.
Benefits
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Reduces human errors and delays in catalogue updates
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Ensures real-time accuracy of product and pricing data
- Frees up procurement teams to focus on strategic supplier management
Target Group
Potential Industries
Risk Classification (EU AI Act)
Limited Risk systems
Art. 50
with Transparency Obligations according Art. 50 EU AI Act