UK robotics and data intelligence company Dexory is introducing an AI-powered logistics engine to help warehouses increase operational efficiency, optimise inventory management, and enhance overall warehouse agility and responsiveness.

Using the multi-site, digital twin platform DexoryView, warehouse operatives 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) should allow warehouse operators to increase efficiency across critical drivers such as space use, inventory, working time and machinery use.

DexoryView’s AI-powered applications can transform three key parts of the users’ business:

• Warehouse performance: Implementation of slotting methods, consolidation of stock, space optimisation and path planning can increase warehouse value to enhance revenue and drive cost optimisation. Rapid audit and analysis of inventory across reserve, pick and bulk locations can drive operational efficiency by saving thousands of hours yearly.
• Issue detection and response: Image analysis and machine-learning models can automatically detect and address issues such as 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, can track and address critical surrounding factors over time to control if goods are stored in the correct conditions.

Global problems such as the pandemic and geopolitical issues require businesses to operate resilient supply chains. Yet, according to Gartner, 60% say their supply chains have never been designed for resiliency. Traditional systems have severe limitations on the volume and frequency of data captured, forcing blind decisions, based on stale or incomplete data, resulting in a growing data gap. Last year, research and advisory firm IHL estimated the combined cost of stock mismanagement at $1.77tn.

Eliminating this gap helps companies react faster and make fact-based decisions on how to manage supply chain disruptions and where to focus their investments.

AI functionality unlocks the next level of intelligence in DexoryView. The platform combines the use of autonomous robots to scan warehouses of 93,000 square metres and more than 100 000 pallets in a day, providing accurate, instant, real-time information on goods and assets across the sites in which it operates. Leveraging AI algorithms, alongside the use of enhanced sensors across Dexory’s robots, DexoryView (www.dexory.com/our-solution/dexory-view) can now power logistics teams with accelerated time to insight and action to make better data-driven informed decisions on operations, expanding outside of inventory, all through one intuitive and interactive cloud platform.

“Traditionally, the logistics industry relies heavily on historical data snapshots, making it highly reactive and prone to error,” said Andrei Danescu, CEO of Dexory (www.dexory.com). “The pandemic started a major shift towards real-time, actionable insights. Our autonomous robots already give an unprecedented level of visibility on inventory within warehouses. Now, combined with AI, we’re allowing our customers to enter a new era of efficiency and productivity. Dexory is thrilled to be leading this transformation.”