

Data optimization

Data optimization

01
Once we have passed the descriptive stage, followed by the prescriptive one, having understood what has happened and what is going to happen, we reach the last stage: What is the best decision?


Solution
Implementation, configuration, training and integration of systems that learn, predict, develop intuition and simulate thousands of scenarios in order to make the optimal decisions. Through the use of algorithms, Machine Learning and Deep Reinforcement Learning, we make appropriate decisions to maximize or minimize target metrics, taking into account a multitude of restrictions and with immediate response to changes in context and demand. |
Implementation plan
