Predicting demand and evaluating the effectiveness of promotions
Get rid of empty shelves and overstocking.
Category managers or KAMs often manually perform demand forecasting based on personal expertise without using advanced algorithms. This leads to overstocking warehouses, empty shelves, decreased profits, etc. There are no tools to calculate the effectiveness of promotions and simulate the optimal product combinations to increase gross profits.
A platform for building regular demand prediction models in the "product-store-day" section for all product items with the ability to identify key factors affecting the demand changes. A separate module lets you plan promotions, determine their effectiveness, perform what-if analysis, and schedule marketing promotions.
A 10% increase in forecast accuracy compared to other planning approaches;
Increase in gross profit by 0.5-1%;
A 20% increase in demand forecasting accuracy during promotional activities;
A 30% reduction in errors compared to the conventional methods.
Discussion of goals, objectives, and solution demonstration (1–3 days)
Feasibility study based on the discovered customer issues (1–3 days)
Pilot implementation of the solution (2–3 months)
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