Delivering reductions in breakdown and cost across a machine fleet through predictive maintenance and reinforcement learning simulation.
An ensemble of probabilities, econometrics to deliver an accurate forecasting method.
AutoML to Increase stock availability through accurate demand planning with a long supply chain and rapid turn around in order time.
Reduction in stock through demand forecasting.
Reinforcement learning for price optimization.
Increase stock availability through demand planning.
optimize its inventory management strategy by maximizing returns on storage of core parts and creating a framework to predict core demand.
Streamline and synchronize decision-making across various business functions in client ecosystem through a common data stream.
Developed a forecasting engine to predict customers propensity to churn for company.