Dexory has introduced DexoryView, an AI-powered logistics engine to help warehouses maximize operational efficiency, optimize inventory management, and enhance the overall warehouse agility and responsiveness.
Through this multi-site, digital twin platform, warehouse operators can process millions of precise data sets captured daily across warehouses via autonomous robots, providing real-time access to insights and predictive analytics.
The combination of computer vision, machine learning, NLP (natural language processing) and LLM (large language models) will allow warehouse operators to maximize efficiency across critical drivers such as space utilization, inventory, working time and machinery utilization.
DexoryView’s AI-powered applications will transform three key parts of the users’ business:
Warehouse performance: Implementation of slotting methods, consolidation of stock, space optimization and path planning.
Advanced issue detection and response: Image analysis and machine learning models will automatically detect and address issues like damaged stock, fallen inventory and rack infrastructure damage to enhance compliance.
Environmental monitoring: Sensor fusion across various data sets, including temperature, humidity and gas detection will track and address critical surrounding factors over time to control if goods are stored in the correct conditions.
