Order Management Model helps a Packaged Food Manufacturer Improve the Accuracy of Demand Forecasts

Sep 22, 2016

Business Challenge

Inefficient order management process resulting in reduced customer satisfaction levels.

A leading packaged food manufacturer was facing issues with managing orders of customers in an efficient manner, which was causing a negative impact on customer satisfaction levels and in turn on the profits.

Situation: Issues with managing orders in an efficient manner from various distributors and retailers.

Due to the shortcomings of its order management system, the client was facing issues of stock-outs, largely unused and out of date inventory items, and delayed shipments.

Order life cycle management requires the right mix of time and resources, including systems, software, and designated processes. Contact us to learn how we can help you find the right mix to ensure on-time deliveries and optimized outcomes.


Predictive modeling to build an efficient order management solution.

We conducted an in-depth analysis of the existing inventory data to cluster products based on sales, stock levels, and lead times, at an individual distributor and retailer level. Based on this information, we built an order management model.

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Improved accuracy of forecasting demand levels, resulting in improved profit levels.

The client was able to increase profits and supply chain efficiency by accurately predicting the inventory levels and sales at an individual distributor and retailer levels. This helped the client in eventually improving customer satisfaction levels over a period of time.

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