Datapred uses machine learning to deliver 3-5% savings on your energy and raw material costs, year over year.
Based on price, contextual and operational data, Datapred combines price predictions and cost/constraint optimization to generate purchase order recommendations telling you which volumes to buy and at what time.
Datapred also isolates the factors affecting price risk for the energy or raw material you are buying, and quantifies their potential impact on your costs and margins.
You can use Datapred for spot transactions, term-based contracts and long-term hedging.
The only two pre-requisites are:
– Historical prices (listed prices, published prices, or just the prices recorded in your ERP system)
– Some room for optimization (the ability to play with inventory, lead times, production schedule…)
Datapred is available in the cloud or on premise.