Today's Supply Chain Planning Software

A Limited Approach to Optimizing Decisions

The current Predict-then-Optimize (PTO) approach is based on simplified models and limited solution algorithms that produce sub-optimal policies.
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Decisions Made with Machine Learning

AD3 uses a state-of-the-art, machine learning approach to build dynamic inventory policies based on a data driven decision function that accounts for all factors specified by the user. Its flexible approach to optimization produces results that are forward-thinking and impactful.
Policy Breakdown Screenshot
Stocking levels broken down by the contribution of various data inputs.