A B2B service that allows for an accurate forecast of revenue for a new outlet using machine learning. The product can be used before launching new stores: it allows you to make predictions of revenue for a new outlet before making the final decision, compare several new premises, forecast competitors’ revenue and assess the cost of a chain before purchase.

Factoring in the data about the population, incomes, the number of competitors and more than 20 indicators, the system will create a heat map of optimal places for opening a new store. The service can model pedestrian traffic, identify the city’s main pedestrian streets and find premises with the optimal price/coverage ratio.