Demand forecasting software implementation for Best in Brands

Best in Brands one a global beauty retail company operating in different parts of the world. In their Bangladesh operation they have more than 250+ locations where they provide their products weather it’s their own outlets or other distributors. 

One of their major problem while distributing inventory to all this location is that their calculation on future sales often goes wrong. This creates overstock or stock out situation at different places. Also sales target of different brunch managers influences this problem as well. To solve this we have provided them a demand planning software which helps them to plan their inventory distribution accurately by analyzing their previous sales data. We used machine learning and data mining for the forecasting