Forecasting demand and sales from the shelf (sell-out), traffic indicators, conversions, average check, etc.

Multifactorial models creation taking into account regional socio-demographic factors, weather, seasonality, calendar, population activity and traffic at different hours of the day, the schedule of points of sale and service, promotional, advertising and trade marketing activity, and much more

Interpretation of the most significant factors in forecasting that affect the model accuracy

Creation of forecasts of varying complexity and detail: from sales of SKU-store-period to any degree of aggregation (category, cluster of stores, region, sales channel, entire network)

Selection of optimal accuracy metrics for models, model calibration taking into account the business specifics and seasonality (surplus/deficit forecast)

Model automation, speed optimization, automatic calibration and model training

Calculation of the logistics scheme parameters and limits, the territorial location of warehouses and production, logistics shoulders, the size of the minimum order lot, delivery, production, etc.

Technological support for integrated, mutual and collaborative planning

Creating models for warehouse automatic ordering and replenishment (calculation of safety stocks taking into account the accuracy of the forecast, the level of service, goods on the way, the possibility of redistributing balances between stores)

Support of CPFR projects to improve the accuracy of sell-in forecasts and improve the level of service for suppliers and retail

Design of what-if calculators and simulators based on predictive models