Case Study: a leading chemical manufacturing and distribution company achieves ~$800K transportation cost savings with Tredence’s Sancus route optimization

Implemented a Route Optimization Solution Using Sancus Leading to Reduction in Transportation Costs by 800k USD

The client, a leading chemical manufacturing and distribution company, faced challenges in reducing transportation costs and improving last-mile delivery. Their primary hurdles included ineffective route planning and a database of over 100,000 customer addresses that required validation and enrichment to be used for optimization. Tredence was engaged to address these gaps and build a solution that would work across the client's global markets.

Tredence implemented its Sancus solution to first validate and enrich the customer address data, which was then used for AI/ML-based route optimization. This approach successfully enriched a significant portion of addresses, especially internationally, and integrated with the client's existing systems. The solution delivered substantial results, including a reduction in transportation costs of approximately $800,000 for the US market alone and improved on-time delivery performance.