IO, optimizing with data
We understand complexity as the increasing factors and variables involved in any productive facility: more SKUs, more machines, more customization, more mining blocks, heterogenous supplies and packaging needs, increasing demand, etc.
Foresta.IO applies its own method called Inductive Optimization (IO) to deal with this complexity. We have proven that our method has exceeded the precision and economic benefits of traditional optimization tools.
IO shows not only that almost any productive installation can operate with better KPIs, but additionally that there is economic value hidden under the complexity.
IO uses the real client's data (not just statistical simulations) and transforms problems from continuous spaces to discrete ones, where the solutions converge rapidly to the optimum. We apply combinations of state of the art Machine Learning Algorithms in ways that were not feasible a few years ago. We mix BIG data, AI and industrial optimization methods.
The industry deals with complexity by trying to get rid of it. We tell you that you can GET VALUE FROM IT. And best of all, YOU DON'T HAVE TO CHANGE A THING.