About us
A brief history of our company
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 Differentiable Programming. 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.
By following this path, for years Lokad has grown an average of 50% per year. Though initially funded by love money and a couple of business angels, no investors were further involved. We are quite proud that the growth obtained so far has been organic and due to revenue generated by customers. We do our best to grow at our own pace; our clients are not to suffer from disorders generated by our own growth.
Our philosophy
Applying incorrect recipes to a domain as complex and unforgiving as supply chains does not make them better, but worse. At Lokad, we strive for science while fighting against scientism. Reality tells whether a supply chain decision is good or bad. Unintended effects matter. Scale matters. IT landscape matters. Performance is about getting the economic trade-offs right. Our technology is forever in flux, progressing as our own understanding of the problem progresses.
Our team
Be in the loop
Check out our latest episodes on LokadTV, interviews or blog posts.
Supply Chain Science
Supply Chain doesn't start with Forecasts and Plans
Joannes Vermorel argues that supply chain education should begin with economic choice under uncertainty, not forecasting and planning frameworks — shifting the practitioner from plan administrator to decision architect.
Supply Chain Science
Stop Segmenting. Start Deciding.
Joannes Vermorel explains why ABC-style segmentation cripples modern supply chains and shows how to replace rigid buckets with dollar-ranked decisions under uncertainty.
Supply Chain Science
Why Supply Chain Must Outgrow Spreadsheets
Joannes Vermorel explains why spreadsheets, though useful for local analysis, become an operating liability at scale — and what an explicit, versioned, automated decision system should replace them.