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
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