“Keboola freed us to concentrate on what really matters—our customers. Their scalable data operations not only streamlined our processes but also set the stage for innovation in AI and beyond.”
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.
Rohlik optimizes cargo fulfillment in real-time to 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.
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.
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.
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.
