About Rohlik
Leading European online grocery retailer, operates in five countries and serves over 800,000 customers. In 2023, it achieved €700 million in revenue, reflecting 25% year-on-year growth.
Rohlik has relied on Keboola from day one, running over 14 000 daily jobs as a core part of its data operations.
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Tomáš Čupr
CEO Rohlik Group
Use Cases
How Rohlik runs on Keboola
Supplying & Logistics
Supply chain order and stock optimization
Rohlik manages over 21,000 products in one fulfillment center, relying on Keboola to track inventory and forecast demand using machine learning. Acting as a data hub, Keboola collects and processes data, integrates AWS predictions, and delivers insights to the supply chain team. These predictions help optimize ordering, track accuracy, and drive profitability. Beyond logistics, Rohlik also leverages data to support growth initiatives.
Predictive intelligence for delivery optimization
Rohlik optimizes cargo fulfillment in real-timeto ensure efficient deliveries and prevent issues like overfilled or underutilized cars. Keboola’s machine learning predicts the number of bags per order, helping to streamline courier routes and enhance delivery speed.
Business intelligence of delays
Keboola streamlines delivery logistics by gathering data from the logistics system, refining it for accuracy, and automatically sending it to Tableau, where Rohlik’s data team visualizes key metrics in delivery reports.
Tracked metrics
- The number and percentage of delayed deliveries
- The size of delays
- The efficiency of planned routes (how many purchases the courier handled in one trip)
- Other business intelligence metrics
Smarter Personalization & Marketing
Personalized Recommendations
Small Impact, Big Revenue Boost
Rohlik leverages its vast customer data to enhance shopping experiences through personalized product recommendations. With the help of Keboola, they developed a reco engine that predicts relevant products, boosting Average Order Value (AOV) and driving additional revenue. Even small percentage gains translate into significant financial impact at scale.
- Data-Driven Personalization – Rohlik uses past purchase data to suggest relevant products.
- Seamless Integration – Predictions flow from Keboola to Rohlik’s IT team for website & app integration.
- Boosting AOV – A/B testing confirmed that recommendations increase Average Order Value by 1%.
Revenue Impact
Even a 1% increase in AOV translates into significant additional revenue.
Automated Predictions
Personalized recommendations are seamlessly integrated into the customer journey.
Issue Detection
Data analytics helps Rohlik spot hidden technical issues affecting sales.
Dynamic Pricing
A big obstacle for any e-grocery is food waste
Data-driven pricing that is kind to the planet (and wallet)
Rohlik sells fresh food, vegetables, fruit, dairy products, and other expirable food products. If the food doesn’t get bought, it ends up in the bin.
Dynamic Pricing for Less Waste
Rohlik leverages Keboola and AWS to build real-time pricing models that optimize discounts based on stock levels, sales history, and time left to sell. This helps price-conscious customers save money while reducing food waste and boosting revenue.
