Lokad

Lokad is an advanced quantitative supply chain optimization platform designed for companies that need highly customized forecasting and decision automation. Founded in 2008 by Joannes Vermorel, Lokad uses probabilistic forecasting, machine learning, optimization algorithms, and its proprietary Envision programming language to generate supply-chain decisions. Rather than functioning like a simple inventory dashboard, Lokad works with supply-chain scientists to model complex decisions such as replenishment, purchasing, production, allocation, pricing, and inventory optimization. Its approach is particularly suited to businesses with large catalogs, uncertain demand, long lead times, and complicated operational constraints. Lokad supports a wide range of industries and company sizes, but its programmatic approach means it is considerably more technical than conventional inventory-planning software. The company describes its platform as a SaaS, multi-tenant, cloud-based solution and generally charges a fixed monthly fee based on the complexity and scale of the supply-chain problem.