CASE STUDY

Improved Inventory Management Achieved by a Leading Oil and Gas Company Through Predictive Modeling Techniques

Sep 22, 2016

Business Challenge

Optimizing the inventory management process.

The client wanted to optimize its inventory management through improvement in accuracy of demand forecasting.

Situation

Constant issues with inventory management resulting in reduced customer satisfaction levels, and profitability.

The client was facing constant issues like stock outs, large inventory levels, inaccurate lead times, and inaccurate demand forecasting. These issues were affecting the customer satisfaction levels and profitability.

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Solution/Approach

Regression model to predict future demand based on historic data.

We deployed a regression model to conduct analysis on historic information on products, retailers and inventory levels. In addition, we also conducted analysis on customer data to predict purchase patterns, trends and buying behavior. On the basis of this analysis, we were able to accurately forecast demand, uncover irregularities, and determine optimal inventory levels.

Impact

Improved accuracy of demand forecasting and improved inventory management.

The client was able to improve the accuracy of demand forecasting by up to 90%. They were also able to streamline the order management process and achieve better inventory management. This resulted in improved customer satisfaction and profitability.

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