FMCG Predictive Sales Forecasting

Empowering products with a tool that run automatically and present a monthly or quarterly forecast of their sales metrics, based on historical data. We use deep learning model to forecast future sales quantity using your historical data and additional assumed correlated factors.

Suppose we have sales history from February 2012 to November 2014, and we wanted to predict how the sales will be in the next 12 month As we can see, the data is not linear in time, so there must be several factors in effect.

BOSNET FORECAST is using AI capabilities to do forecasting based on historical data and some other external factors which can be set according to user’s requirement. This capability will reduce hassle and all complexness of forecasting by human. The accuracy will be determine by the preconfigured factors. If more data keyed in the engine, the accuracy will be higher.

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