Commodity Price Forecasting

Input commodity costs can make up to 50% of sourcing costs for a food processor. Accurate forecasts for the price of these commodities can help you lower the weighted average purchase cost and save up to 10% of the procurement costs.

Learn how you can improve commodity price forecasting by 20-30%

Submit the registration form and schedule a call with our data analytics experts to evaluate your commodity forecasting needs and plan your quick start to 20-30% forecast improvement. 

Data Analytics Quickstart:
Fast, Reliable, Affordable

Pre-built forecasting models deliver 20-30% commodity price forecasting improvements

Data

Past purchase information including quantity, date of purchase, purchasing cost and product information

Insight

Clean and normalize data.

Run and adjust pre-built models to deliver 20-30% improvement in forecast accuracy.

Action

Make buy decisions based on accurate commodity price forecast

Reduce average commodity cost by up to 10%

We inform you that, from 2.30 pm on 17 March 2023, the ORS email contacts will change domain @ors.ai --> @dedagroup.it