DESCRIPTION
The project began with the transformation of a Budapest shoe store and its associated webshop operations. The business had been a stable market player for years; however, the continuous increase in online orders and the intensity of stock movements placed an ever-greater administrative burden on the owners and employees. The physical stock of the store and the product data available on the webshop often diverged, leading to incorrect warehouse information, delayed deliveries, returns management issues, and dissatisfied customers. The aim of DetSystems was to create an agentic system that not only automates inventory management but can also make independent decisions, execute tasks, and respond to real-time data changes. The end result was an AI-centered warehouse process that operates continuously in the background and significantly reduces the need for human intervention.
PROBLEM
The biggest challenge for the operation of the shoe store and webshop was that the inventory management was done manually and often in a fragmented manner. Sales in the store, online orders, supplier stock replenishments, and returns all ran through separate processes, and there was no central system that coordinated these in real-time. Inventory data was often updated with delays, causing uncertainty for both customers and employees. There were instances when a product appeared to be available on the webshop while it was already out of stock in the warehouse, or conversely: stock was on the shelf but did not appear on the online platform. These issues posed both revenue loss and reputational risk for the company.
It was clear to the owner that sustainable growth could only be ensured with an automated warehouse management system. Traditional administration required continual time investment, and errors cascaded into delivery processes, customer service tasks, and procurement. The problem was further exacerbated by the fact that webshop traffic increased month by month, which heightened the importance of the accuracy of inventory data. It was essential for the business to have a solution that not only automates the steps but also becomes an intelligent system capable of recognizing inventory movements, responding to anomalies, and maintaining continuous operations.
SOLUTION
DetSystems has developed a fully agent-based warehouse management system, in which AI not only monitors data but also makes decisions and carries out specific tasks. The system tracks the movements of the physical store's warehouse, the orders from the webshop, supplier stock replenishments, and returns in real-time. The AI agents continuously analyse the data, compare the information from different systems, and automatically correct the inventory if discrepancies arise. The solution is capable of predicting expected stock shortages, suggests replenishment, and sends alerts if a product is unexpectedly selling out quickly. In addition, detailed logs are kept of every movement, making warehouse management completely transparent.
During development, we placed great emphasis on ensuring that the system operates truly autonomously and minimises the possibility of human error. The agents monitor the webshop orders, automatically reserve the stock until delivery, and update the data when the product moves from one status to another. In the case of physical sales in the store, the system immediately reduces the inventory, avoiding discrepancies between the webshop and the real warehouse. The solution is also capable of handling stock replenishments: it automatically updates the quantities based on supplier invoices and delivery notes, allowing the store team to focus solely on the physical receipt. All of this has resulted in warehouse processes operating continuously, in real-time, without human intervention.
RESULT
The project has significantly transformed the operation of the shoe store and the webshop. The error rate in inventory management has dramatically decreased, and the accuracy of inventory data has increased to such an extent that webshop visitors and customers receive real-time, reliable information about product availability. Problems stemming from previous stock shortages or incorrect order placements have virtually ceased. The burden on employees has significantly decreased, as they no longer need to update or verify the data daily; the system does all of this automatically for them. For the owner, this meant that the business operations became scalable, and it can handle increasing online traffic without additional administrative burden.
However, the greatest achievement is that the entire inventory management system has become a living, independently thinking and operating agentic structure. The AI agents work in real-time in the background, continuously maintaining inventory accuracy, responding to changes, and ensuring that the webshop and the store operations are synchronised with each other at all times. The project has proven that AI not only eases administration but can also stably and efficiently operate complex, business-critical processes in the life of a small enterprise.
