UK-based robotics and data intelligence company Dexory is introducing a first of its kind, AI-powered logistics engine to help warehouses maximize operational efficiency, optimize inventory management, and enhance the overall warehouse agility and responsiveness.
Through its multi-site, digital twin platform, DexoryView, Dexory will now enable warehouse operatives to process millions of precise data sets captured daily across warehouses via its autonomous robots, providing real-time access to insights and predictive analytics that enable businesses to make smarter, faster decisions.
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.
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 will maximize warehouse value to enhance revenue and drive cost optimization. Rapid audit and analysis of inventory across reserve, pick and bulk locations will drive operational efficiency by saving thousands of hours yearly.
• Advanced issue detection and response: State of the art 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.
Global challenges such as the pandemic and geopolitical issues, require businesses to operate highly resilient supply chains. Yet, according to Gartner, 60% of leaders say their supply chains have never been designed for resiliency. Traditional systems have severe limitations on both the volume and frequency of data captured, forcing blind decisions, based on stale or incomplete data, resulting in a growing data gap – the Visibility GapTM. Last year, the global research and advisory firm IHL Group estimated the combined cost of stock mismanagement at $1.77 trillion.
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 (Accenture).
The new AI functionality unlocks the next level of intelligence in DexoryView. The platform combines the use of autonomous robots to scan warehouses of 1 million sq ft and over 100 000 pallets in a day, providing accurate, instant, real time information on goods and assets across the sites it operates in. Leveraging AI algorithms, alongside the use of enhanced sensors across Dexory’s robots, DexoryView will 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,” says Andrei Danescu, CEO and Co-founder at Dexory. “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.”
By addressing critical use cases with cutting-edge technologies, Dexory is helping to propel the industry forward, making supply chains more efficient, agile, and responsive to emerging challenges.
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