Case Study: a leading grocery supermarket chain saves $1.8 million annually with Netscribes' inventory planning analytics

Analytics-led inventory planning helps grocery supermarket chain save USD 1.8 million annually

A leading grocery supermarket chain faced the challenge of managing inventory for perishable goods, seeking to minimize losses from both overstocking and understocking. They turned to vendor Netscribes to implement a data analytics solution for precise demand prediction and inventory planning.

Netscribes synthesized the supermarket's historical sales data, de-seasonalized it, and applied a combination of time and price elasticity-based predictive models. This resulted in a highly accurate automated forecasting model with a 4% error rate, which significantly reduced waste and delivered annual savings of $1.8 million for the supermarket chain.