Lokad was created in Paris in 2008 as a software company with a strong technological and mathematical core. The goal was to bring state-of-the-art technology and science to supply chains: we were among the very early adopters of cloud computing, and today we keep the same spirit with deep learning. That led us to several generations of forecasting engine, in an endless race to improve forecasting accuracy.
While working on the R&D side we also realized how important it was to build a solution that would be directly shaped by the very real and concrete business problems of supply chains. We came to the conclusion that pure maths wouldn’t manage that - however sophisticated they could be. At the very beginning of 2014, we released Envision, a Lokad-built programming language, entirely focused on supply chain problems. It granted us the flexibility we needed to take into account the complexity and constraints of supply chain (MOQs, MOVs, Bills of Materials, …). By combining these programmatic abilities with the probabilistic perspective of our forecasting engine we were able to give a precise answer to supply chain issues: one centered about ROI, leading to prioritization of actions with a complete overview of the whole supply chain in mind.
