Improving customer satisfaction through efficient order management. An Asian industrial cleaning product manufacturer wanted to improve its order management process, to reduce stock-outs, and improve customer satisfaction.
Situation: Lack of timely order fulfilment causing customer dissatisfaction.
The client did not have a proper order management process in place. Consequently, the client was facing issues such as stock-outs, largely unused, and out of date inventory, delayed shipments, and could not fulfill many orders on time, resulting in low customer satisfaction.
Improve customer satisfaction by preemptively addressing at-risk-orders in time to take corrective measures. Contact us for expert recommendations.
Order management analytics and predictive modeling to build an efficient order management solution.
We used order management analytics on inventory data to cluster products based on sales, stock levels and lead times, at an individual distributor and retailer level, and map inventory data to sales forecasts and sales cycles. Based on this information, we built an order management model.
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Improved customer satisfaction and revenues.
The cleaning products manufacturer used our insights to predict and maintain appropriate inventory levels at distributor and retailer levels, to ensure the availability of its products at all times. This helped the client in eventually improving customer satisfaction levels and improving profits.