Evotor: Evo People Panel (EPP)

Main article: Definition of Business Intelligence

2023: Evo People Panel platform launch

On December 6, 2023, the Evotor IT company launched an AI-based platform for analyzing purchasing behavior in the context of retail outlets and their customers. This tool will help FMCGs, distributors, and retail chains research target audiences, develop/refine marketing strategies, and promote campaigns. The platform will talk about who buys this product, how often and where, how much they spend on shopping, how loyal, etc.

Evotor's Evo People Panel (EPP) platform accumulates information about more than 3 million unique buyers, which are segmented depending on the structure of checks and geodata purchases. The platform provides summary analytics with deep level detail: by purchase of specific items (SKUs), brands, or product categories. Customers can be segmented by age, gender, shopping locations, favorite brands, hobbies, income, tastes. The panel also allows you to collect retrospective data in any section: by days, weeks, months, quarters, years.

For analysis, anonymized cash desk data is used, presented exclusively in an aggregated format, without personal data. In EPP, the buyer is assigned a unique identifier that includes information about his purchases. The platform uses data that has been pre-cleaned and processed by several computer-based learning algorithms.

This tool will help you research and understand target audiences when developing and refining marketing strategies and campaigns. It will be useful to both FMCG manufacturers, distributors, and retail chains.

While traditional analytics focus on point-of-sale analytics: average check, revenue, geography, cross-country, shop centric approach, the Evotor Platform provides information on their real customers (people centric approach), ― said Polina Velichkina, Evotor's big data leader. ― Take brand-specific drinking yogurts or ice cream in pistachio-flavored cups from any producer for example. Traditional analytics will show the average price, average purchase check, sales geography, turnover and number of sales. And our platform can also answer questions about who buys this product: men or women? how often and in which stores are purchases made? are buyers true to the same brand or different? how much money do they spend on shopping? is the number of such buyers growing? what is their consumer basket? And these will not be survey data, but real, not extrapolated purchase data.