Teknosa is a well-known electronics retailer in Turkey, offering a wide range of products through its 205 stores, website and mobile platform. With more than 16,000 SKUs and 15 distribution centers, the company serves millions of customers daily.
Focused on providing an efficient and seamless shopping experience, Teknosa set ambitious goals: to strengthen its inventory planning capabilities, boost product availability and meet customer expectations with greater accuracy—all while driving revenue across its growing network.
Teknosa wanted to improve forecasting accuracy, reduce lost sales and manage stock levels more effectively. The retailer also aimed to localize assortments to reflect customer preferences at the store level—a task that required greater automation, better data and more advanced decision-making tools. To meet these goals, the team set out to find a solution that could handle the complexity of retail operations, eliminate guesswork from supply chain decisions and help the business become more agile.
Teknosa rolled out three key solutions from invent.ai: Replenishment to place the right products where they’re needed most, Transfers to shift inventory from slower-moving stores to higher-demand locations, and Assortment Planning to tailor product selections to the preferences of each store’s local customers.
These tools helped Teknosa automate repetitive planning tasks and improve the team’s ability to make high-value decisions. The system now tracks performance metrics in real time and adjusts to demand patterns without relying on manual inputs.
According to Teknosa’s leadership, the partnership with invent.ai brought lasting changes not just through the AI platform, but also by helping the internal teams operate more efficiently and focus on strategic growth. Measurable improvements include:
In recognition of its data-driven transformation, Teknosa received an IDC Turkey Analytics Transformation of Business Award in the Big Data & Analytics category. This award acknowledged the company’s success in applying advanced analytics to modernize retail planning.