How one manufacturer cut 7 years of work to just 6 months with AI

Managing inventories across languages and regions often causes redundancies, inefficiencies, and inflated costs. For companies managing hundreds of thousands of items, manual processes create bottlenecks and increase error risks.

This case study examines how GMM Pfaudler used generative AI to transform inventory management for over 800,000 chemical and pharmaceutical items, achieving:

· Project timeline cut from seven years to six months
· 95% productivity boost by automating processes taking five minutes per item
· 5% inventory cost reduction globally

Learn how this approach is expanding to improve supply chain and production planning.