Deployed predictive & prescriptive early warning app
Reduced overall freight costs by 38%
Reduced premium freight costs by 67%
Reduced manually induced errors by 92%
Increased routing precision
Improved end-to-end operational efficiency by 68%
Early warning system led to reduction of $90M in operating costs
Optimized Supply Chain Network for a
Global Industrial Company
This company had a very extensive global supply network where suppliers dealt with divisions and where supplier performance levels and lead-times differed from division to division around the world. The company was looking for a way to understand and explore all of the different decision alternatives and make those available to the decision makers __ enabling them to make decisions that were more globally optimized versus restricted to a division.
SMART AI Solutions
It was possible to gain a global view of the supply network in terms of supplier performance. SMART AI was used on internal data records to consider scenarios to reduce costs globally. Network modeling was used to develop and understand more decision alternatives and enable decision-makers to optimize their supplier performance from a global perspective rather than a more narrow, local perspective.
20% reductions in inventory levels and logistics costs
End-to-End Optimized Inventory
for a Global Beverage Company
Responsible for sourcing and managing beverage ingredients globally, this company was challenged to optimize its inventory size and composition per location to reduce waste and storage costs. It asked for assistance in optimizing its stocking strategy for every SKU per storage location.
SMART AI Solutions
Using analytics, we shifted its organizational focus on local storage optimization to a global, end-to-end storage optimization model by consolidating disparate datasets and automating the company's routine analysis.
25% reduction in inventory levels without affecting revenue