Smarter fulfillment decisions through advanced analytics
Optimization to increase service level
Automating daily fulfillment & transportation decisions with a goal of no-touch planning
Complex constraints depending on products/customers/transportation modes capacity constraints during peak seasons.
Need for flexibility in diverse and changing business needs
Service disruptions caused by rule-based heuristics.
Lack of data integrity
100% UAR for fulfillment
<2% Service Loss
+90% UAR for transportation
Daily automated fulfillment and transportation decisions with minimal human touch
Goal-based optimization created plans that helped to meet multiple objectives
Reduction in Transportation Costs
Increase in Load Fill Rate
Reduction in Carbon Emissions