Use cases

Sportisimo

Sportisimo uses demand prediction based on data science techniques. It has reduced the labour intensity of warehouse operations by 10%. In addition, our simulations have shown that when used in stores, demand prediction has the potential to increase sales by units of percent.

Mall Group

We helped MALL Group become a data-driven company where hundreds of people make decisions based on data. As a result, they now have a detailed view of product profitability and business performance.

Carvago

Grabbing and categorizing 4.5 million car classifieds from all over Europe every day thanks to Revolt.BI.

Pietro Filipi

Our intelligent replenishment solution using ML has helped Pietro Filipi save significant sums on logistics costs, while increasing sales through better availability of goods in stores.

Škoda Auto

Revolt BI helps the largest Czech company detect duplicate items in warehouses and streamline the process of purchasing new stock.

Witty Trade

From part-time manual work in Excel to a comprehensive automated BI solution with Revolt BI

Services

Data integrationBusiness IntelligenceBusiness consultation and analyticsData Science and advanced analyticsCustom development of analytical apps

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