In this episode, we delve into how a leading logistics company overcame significant challenges in retrieving Safety Data Sheets (SDS) by implementing Datamatics' AI-powered retrieval system. Facing a vast database of over 600,000 SDSs and frequent issues with misspelled or incorrect chemical names, the company struggled with manual processes that led to delays of 2–3 days for SDS retrieval. Datamatics' solution introduced AI-driven search automation, enabling drivers to enter natural language queries and instantly retrieve accurate SDSs. With smart error handling and automated workflows, the system reduced retrieval times from days to minutes, significantly improving accuracy and minimizing manual intervention. Discover how this transformation not only enhanced operational efficiency but also set new industry standards for speed, accuracy, and customer satisfaction in logistics.​

Explore the full case study here: https://www.datamatics.com/resources/case-studies/driving-efficiency-how-ai-streamlined-sds-retrieval-in-logistics