Differentiable Programming is a hybrid perspective between statistical learning and numerical optimization. This mix is uniquely suited to deliver predictive optimization for supply chains, which also require a mix of learning and optimization.

Differentiable Programming in Supply Chain (Part 3/3)

Quantitative supply chains are the future: where every possible future gets a probability, where every possible decision gets an economic score, and where control is given back to management thanks to extensive automation. Lokad's goal is to make this future a reality. We help companies do more with their supply chains, their inventories and their production capacities than classical methods would ever allow.

Share Differentiable Programming in Supply Chain (Part 3/3)

Sign up to save your podcasts

Differentiable Programming in Supply Chain (Part 3/3)

Differentiable Programming in Supply Chain (Part 3/3)