David Micallef

RedLore

At RedLore, we remove dated manual processes like counting, barcode scanning and RFID scanning used by manufacturers, distributors, logistics providers and healthcare organizations to run their operations. Our IoT and ML-based solution accurately tracks in real-time the location and condition of every possible object or person that is part of a larger process. The solution boosts operational efficiency by up to 25%, reduces the need for equipment by up to 25%, and provides a safer working environment for employees. The solution comprises low-cost IoT tags with built-in machine-learning capabilities, which are attached to equipment, inventory, reusable packaging, and people. Its control tower dashboard allows customers to gain insights in order to boost operational efficiency. Typical applications include indoor & outdoor asset tracking, real-time automatic inventory, asset monitoring, safety-tracking of people, equipment location and utilisation, dwell time monitoring, consignment stocking, vendor-managed inventory (VMI) and automatic (un)loading detection. The solution renders the process "touchless". Being much more than an object identification technology, it provides insights into the condition of assets and people. The asset location and condition is tied to the business process (manufacturing, distribution, service provision…) and allows the assets to move through the process without the need for manual counting or scanning. The solution thus automates processes, saving costs while being resilient to human error. This is the first and only solution providing high-accuracy indoor tracking and condition monitoring, down to ½ ft or 15cm of positioning accuracy, requiring neither power nor communication wiring throughout the facility. As a result of being wire-free, a 200,000 ft2 or 20,000 m2 facility can be installed within just 1 day, saving up to 90% in installation costs and time when compared with other solutions.