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Sales forecasting is one of the key business processes, the inaccuracy of which directly affects the performance of other functions
Forecasting is often carried out using outdated tools or basic office programs, such as Excel
Preparing a sales forecast takes a lot of time and does not have the possibility of automated adjustments based on sales during the year
At the same time, assortment matrix management is based on a small number of factors, where the key factor is the expertise of the manager
Thanks to advanced machine learning algorithms, Sales Forecaster predicts the sales of a product, a category of products, or the entire assortment matrix. Based on the sales forecast results, Sales Forecaster allows you to create an optimal assortment matrix of a brand or company for each reseller partner, which will allow you to develop more effective marketing and trade marketing campaigns for reseller partners.
Data preparation - 1st week
Building a model - 2nd week
Optimization and integration of the model - 3rd week
Customizable fields for changing the forecast horizon
Individual forecasting for each reseller partner
Fixing assortment requirements and the possibility of adding new products
Visual analytical reports
Integration with internal BI systems for data upload
The ability to customize analytical reports
Sales Forecaster easily integrates into your IT ecosystem. From Excel to automated API integrations: