High-quality data is essential for successfully applying machine learning or AI and building reliable, efficient systems. In retail, where quick decision-making and precision directly impact a company’s profitability, data quality is critical. However, data is rarely perfectly structured, consistent, or error-free. The success of machine learning and AI projects heavily depends on thorough data cleaning.
How can a retailer identify the products that keep customers coming back? In collaboration with Coop Eesti, STACC developed a data-driven solution that offers customers personalized product discounts based on their preferences. Leveraging machine learning, we designed an innovative model that personalizes the shopping experience and strengthens customer loyalty. This solution is unique in Estonia,
The advances in information technology allow people to develop accurate machine learning models that can learn from collected data. The application of such models helps to predict the demand for various products, such as goods sold in grocery stores. Retail chains sell a wide range of products which are ordered using different algorithms. One of
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Email: info@stacc.ee
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