GreyMatter is the AI-driven central brain and software portion of the GreyOrange Fulfilment Operating System (GreyOrange FOS), which combines software and intelligent fulfillment robots to help companies optimize how inventory is picked, packed and shipped from distribution centers, warehouses, fulfillment networks and stores to meet sales order commitments
Engineered to be future fluid and adaptive by design, GreyMatter works in concert with Ranger robots to transform real-time data into AI-driven logic that continuously prioritizes order fulfillment decisions to deliver highest yield outcomes for your business.
This seamless connection puts the total fulfillment operation into holistic awareness —resulting in higher levels of performance, speed and accuracy matched to the rate, complexity and fluctuations of the markets you serve.
GreyMatter adaptive learning, machine learning and real time analytics dynamically integrate with GreyOrange intelligent robots to drive high yield performance in real time.
A comprehensive set of operational, managerial and diagnostic dashboards and analytics tools put system control, data and continuous improvement insights at your fingertips.
Buyer service and satisfaction are strengthened through close partnerships between DCs and stores.
The GreyOrange FOS synthesizes awareness of buyer demand across all channels so stores and DCs can work together to optimize on-shelf availability while also controlling replenishment costs.
The system automatically directs replenishment orders to be timed and packed according to each store’s preference. This enables efficient receipt-to-shelf processing, avoiding the extra store labor time and cost that results from imprecise replenishment practices.
Because GreyMatter makes all inventory visible, all stock is shown as active—ready and accessible to fulfill across all channels at all times. Rather than terming ‘storage’ as an acceptable inventory status, GreyMatter anticipates and optimizes stock movement, orchestrating robots to stage and move inventory based on order flow, item popularity, promise-to-deliver dates, profitability analysis, Service Level Agreements ( SLAs), customer value and satisfaction.
Real-time order flow to the floor maximizes fulfillment decision flexibility to fulfill on-demand–without handcuffing users to fulfill orders in batches or waves.
Hundreds of Ranger robots can operate together simultaneously as Mobile-Spatial Logic uses realtime data to optimize travel routes and pacing to avoid congestion. Rangers automatically use unassigned time to connect with charging stations to top-off power to maximize up-time.
Ranger GTP robots access inventory across your DC in pace with order priorities, transporting mobile stock unit racks of inventory to pick-pack stations based on order line items, speeding throughput and eliminating manual retrieval by workers.
Unlike humans, Rangers can access high-density stock zones that lack aisles, including elevator equipped multi-level mezzanines, to maximize cubic inventory capacity and optimize existing facilities. Multiple Rangers can coordinate together to retrieve inventory, with some robots moving racks aside so others can access and transport desired inventory to pick-pack stations.
Ranger actions are directed by dynamic GreyMatter calculations that continuously evaluate the risks and rewards of choosing to breach or to keep each order promise.
Because different workers perform at different paces, order completion rates will vary across pick-pack stations.
GreyMatter sees varying fulfillment rates in real time and directs Ranger GTPs to transport racks of inventory to open stations to eliminate wait times for both robots and human workers.
