Issues with the accuracy of demand forecasting.
A leading consumer goods manufacturer was facing problems in conducting demand forecasting and assessing the optimal volumes of products to be manufactured.
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Issues with managing day to day operations and making efficient use of customer data.
As a result of an improper demand forecasting process, the client was facing problems in managing demand levels, determining lead times, and stock replenishment levels to intimate suppliers and retailers.
Implemented demand forecasting and inventory management model.
We conducted an in-depth analysis of the existing customer data to classify the information by products, customers/retailers, purchase patterns, seasonal trends, etc. These details were aggregated and we used regression models to devise a robust demand forecasting and inventory management model.
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Improved service levels and accuracy of forecasting.
The client was able to improve its service levels through the implementation of effective demand forecasting and inventory management model, which helped them in the accurate forecasting of demand at an individual product and retailer levels.