INCREASE STOCK AVAILABILITY WITH ACCURATE DEMAND FORECASTING

A manufacturing client struggled to accurately predict forecasted demand due to short product life cycles, long supply chain, and the majority of sales concentrated in a small group of key customers. Traditional forecasting methods provided a wide range of inaccuracies - with MAPEs reaching up to 150%.

Utilize advanced artificial intelligence to create accurate demand planning. AI technologies allowed the ability to leverage probability theory, econometrics, and artificial intelligence to develop a forecasting engine. This tool ingested more than just sales history and product attributes - the client had rich CRM data that provided an indication of upcoming product demand using their sales pipeline.

Improved accuracies of up to 80%. The outputs of these forecasts were built into the client’s manufacturing orders, providing unprecedented insight and efficiency to the operation.