Problem: Daily inspections by merchandisers and subsequent manual analysis of display photos are time-consuming (several hours) and susceptible to human errors.
Solution: Implemented an automated program that accurately determines the number of bottles on a shelf through the analysis of surveillance camera images or photos. When the product approaches the minimum quantity, the system automatically alerts the manager and provides demand forecasts for various product items.
Result: Significant acceleration of inventory analysis, reduced counting errors, and timely response to product shortages, enhancing inventory management efficiency.
AI solution reduced room analysis time from several hours to minutes. Demand forecasting optimized logistics and increased sales by 15%.
