Story: AI-supported warehousing | Shop Features

Why we rely on an AI-driven merchandise management system - for efficient processes and fresh products
A reliable merchandise management system forms the backbone of every successful retail company. However, in our online store - with a connected retail store - we go one step further: we combine classic merchandise management with a modern, AI-supported warehouse management system. The result? Precise, forward-looking and resource-saving handling of our inventory - from which our customers also benefit directly.

Classic merchandise management: the basis for transparency and control
Our merchandise management system records all article movements - from purchasing to stock receipt to sales. Both sales from the online store and those from the bricks-and-mortar store are seamlessly integrated. All purchased items are systematically recorded, creating a continuous history of the flow of goods.

This database allows us to see exactly how certain products develop over weeks, months and years. In this way, we not only recognize seasonal patterns, but also buyer behaviour at certain price points or trends. Classic merchandise management thus provides structure, an overview and a reliable basis for business decisions.

AI-supported warehouse planning: anticipatory instead of reactive
But it is only through the use of artificial intelligence that we are taking our merchandise management to the next level. Our intelligent system analyzes the sales figures of recent years, the time and price of the last movements and recognizes patterns. On this basis, it calculates recommendations on how many units of an item we should buy and store in the future - at exactly the right time.

This forward-looking planning brings enormous benefits: We avoid overstocking, reduce the amount of capital tied up in individual products and at the same time make space in the warehouse for new, more attractive items. Resources are used more efficiently, which has a positive long-term effect on the entire company structure.

Less leftover stock, more freshness - for us and our customers
Another major advantage of our AI-controlled system is the reduction of excess stock. When products reach the end of their life cycle, we hardly have to rely on aggressive price reductions - because the warehouse is almost empty. This ensures a lean product range that is always up-to-date and tidy.

At the same time, our customers benefit from fresh goods that are in high demand - no shelf warmers, but products that are available in the range at the right time. This increases satisfaction, reduces returns and improves the shopping experience in our store in the long term.

Conclusion: intelligent merchandise management as a model for the future
By combining traditional merchandise management and AI-controlled demand planning, we are creating a system that not only optimizes our internal processes, but also offers real added value for our customers. It makes our company more agile, sustainable and economically robust - and creates the basis for future-proof growth in digital retail. - Tobias [TS04/25]