$50B+ manufacturer reduces potential stockouts by 36%+

Manufacturing Co.'s customers frequently make large orders of products with insufficient lead time

When orders come in with insufficient lead time, Manufacturing Co. is unable to produce and deliver on-time via standard distribution channels

When orders come in that Manufacturing Co.can’t fulfill by the requested deadline, there a substantial costs to the business

Manufacutring Co. must choose between two undesirable options: either (a) a delay in delivery, jeopardizing their business relationship with the customer or (b) an expensive express delivery via air, significantly impacting margins

Manufacturing Co. therefore needed a forecast of customers’ orders to ensure they were always stocked with the right products in the right places

This would allow Manufacturing Co. to avoid costly last-minute air transfer

Developing this forecast posed a signficiant challenge

The underlying data was sparse and Manufacturing Co. had previously just relied on human intuition to predict when orders would land