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Data & AI Use Cases in Procurement

Automated Catalogue Maintenance in Procurement Systems

Use Case Use Case Family: Automation, Predictive Analytics & Forecasting
Business Domain Business Domain: Procurement
Process 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:

  • Reduces human errors and delays in catalogue updates

  • Ensures real-time accuracy of product and pricing data

  • Frees up procurement teams to focus on strategic supplier management
Target Group Target Group:
Procurement Managers Sourcing Specialists Catalogue Administrators
Potential Industries Potential Industries:
Retail Manufacturing Wholesale
Limited Risk
Limited Risk systems Art. 50
with Transparency Obligations according Art. 50 EU AI Act
Disclaimer The information provided regarding the risk assessment is without guarantee. The complete classification of a use case according to the EU AI Act depends on numerous regulatory and company-specific factors. Therefore, the risk assessment is always case-specific. The risk assessment logic of Casebase is used for this purpose.