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Manage ASNs, dock appointments, receiving, incoming QC, scan verification, directed put-away and cross-docking.
Manage ASNs, dock appointments, receiving, incoming QC, scan verification, directed put-away and cross-docking.
Track SKU, lot, bin, stock on hand, movements, ageing, slow movers and expiry exposure.
Manage bins, zones, storage capacity, occupancy and digital warehouse mapping.
Maintain pick-face availability using reorder points, safety stock, lead times and demand signals.
Coordinate wave planning, FEFO allocation, pick-path optimisation, packing, staging, loading and dispatch.
Manage routes, vehicles, drivers, live stops, proof of delivery and DIFOT.
Control returns, delivery failures, damage, inspection, disposition and claims.
Use warehouse data and AI to identify bottlenecks, inventory risks, labour requirements and operational improvement opportunities.
Ensure that all goods that arrive at your warehouse premises are validated, quality-checked and moved to their designated locations efficiently with zero paperwork errors. Coordinate workflows according to electronic ASNs and dynamic dock schedules and validate with QC controls, discrepancy checkers and other digital QC tools.
Track and trace the unique alphanumeric codes assigned to your stock, lots, and bins, and coordinate warehouse operations to reduce space wastage, idle time, and costs with automated fulfilment rules that keep all your storage units under control. With perpetual tracking and discrepancy-resolution tools, you can easily track ageing or slow-moving stock.
Use a dynamic 3D/2D virtual replica of your physical warehouse facility, powered by seasoned AI models. It integrates real-time inventory, asset, and labour data into a single operational model to simulate, predict, and optimise daily warehouse performance. The unique AI analytics tools record and predict demand, SKU velocity, slot schedules, distances, and pick productivity.
Make faster, success-guaranteed and effective decisions even during peak times in your warehouse. Dispose of your guesswork and nerve-ending paper-based analytical efforts because the AI features of Cerexio WarehouseOne predict festive demands, seasonalities, pick-face efficiency, labour utilisation trends, warehouse capacities, optimal travel time and more using the data you provide.
Smoothly shift your inventory from bulk to storage before the demand catches up with your stock availability using efficient pick-up replenishment tracking enabled by Cerexio WarehouseOne. It includes lead-time planning tools, safe stock level indicators, and an AI brain that tells your stock managers how much stock to keep to keep customer orders flowing.
Adopt the unique order management modules of Cerexio WarehouseOne to group orders, allocate stock based on shelf time, use the best pick-up strategies, pack, label, and stage all goods in the right place, and load to the right track with less effort. You can also manage electronic dispatch confirmation records to streamline the end-to-end supply chain processes.
Optimise the critical leg of your supply chain by connecting warehouse operations from your warehouse to your customer’s doorstep with Cerexio WarehouseOne’s route planning, vehicle and driver management and live tracking and reporting modules. Get a bird’s-eye view of your fleets, driver behaviours, shifts and availabilities in one dashboard.
Detect sensor calibration needs of your warehouses to digitise the physical events of your warehouse and use the dedicated RF apps to detect everything- starting from receiving, put-away, cycle counts, to picking, packing and proof of delivery with smart AI and IoT capabilities of the Warehouse Management Platform.
Cerexio WarehouseOne is an AI-powered smart warehouse management platform that connects inventory, inbound and outbound operations, warehouse layout, labour, fulfilment, IoT, analytics, automation and last-mile delivery in one intelligent warehouse environment. Designed for distribution centres and complex warehousing operations, WarehouseOne supports receiving, directed put-away, inventory management, FEFO allocation, replenishment, wave picking, packing, dispatch, returns and delivery. It also extends conventional WMS capabilities with AI demand forecasting, dynamic warehouse slotting, digital-twin warehouse mapping, RFID, IoT sensors, computer vision, mobile and RF applications, warehouse analytics and integration with enterprise systems.
Warehouse management software is a digital system used to control and optimise warehouse operations, inventory and the movement of goods through a warehouse or distribution centre. A modern Warehouse Management System (WMS) can manage inbound receiving, put-away, storage, inventory tracking, replenishment, picking, packing, staging and dispatch. Advanced warehouse management software can also support FEFO, lot traceability, labour management, warehouse slotting, cycle counting, mobile and RF scanning, IoT connectivity, warehouse analytics and automation. Cerexio WarehouseOne extends these capabilities with AI-powered forecasting, dynamic slotting, digital warehouse mapping, smart warehouse technologies and connected logistics workflows.
WarehouseOne improves inventory accuracy by maintaining structured visibility of stock by SKU, lot and bin and connecting inventory transactions with receiving, put-away, picking, replenishment, cycle counting and dispatch activities. Scan-verified receiving, RF and mobile workflows, inventory movement records, perpetual cycle counting and variance management can help reduce discrepancies between system inventory and physical stock. WarehouseOne can also provide
visibility into stock ageing, slow-moving inventory, expiry exposure and inventory adjustments, giving warehouse teams a more complete picture of inventory accuracy and availability.
AI improves warehouse management by analysing inventory, demand, order, labour, space and operational data to identify patterns, forecast requirements and support better warehouse decisions. AI can help with demand forecasting, warehouse slotting, replenishment planning, labour forecasting, exception identification and predictive maintenance. In WarehouseOne, these capabilities can help answer operational questions such as which SKUs are likely to require replenishment, which products should be repositioned, which orders may be at risk of delay and which warehouse zones may be approaching capacity. AI therefore adds an intelligence layer to traditional warehouse management and WMS processes.
AI-powered warehouse slotting uses demand patterns, SKU velocity, warehouse locations, storage constraints and operational requirements to recommend where inventory should be positioned. Intelligent slotting can help place fast-moving products closer to picking or packing areas, while considering factors such as warehouse capacity, product characteristics and changing demand. WarehouseOne combines warehouse layout information with AI forecasting and dynamic slotting concepts to help warehouse teams optimise storage locations, reduce unnecessary travel and improve pick-face efficiency.
WarehouseOne supports FEFO, or First-Expired-First-Out, inventory management by using expiry information to help prioritise stock allocation and movement. FEFO is particularly important for food and beverage, pharmaceutical, healthcare, chemical and other expiry-sensitive supply chains where inventory shelf life affects operational decisions. WarehouseOne provides FEFO queues and expiry exposure visibility, helping warehouse teams identify stock that should be prioritised before expiry. FEFO can be connected with receiving, inventory allocation, picking and dispatch workflows to improve shelf-life management and reduce avoidable expiry exposure.
WarehouseOne is designed to support connected and automated warehouse environments in which technologies such as AMRs, AGVs and AS/RS can participate in warehouse workflows, subject to the automation architecture and integration requirements. Autonomous Mobile Robots (AMRs) can transport goods dynamically around warehouse floors, Automated Guided Vehicles (AGVs) can move pallets and heavy loads along defined routes, and Automated Storage and Retrieval Systems (AS/RS) can automate high-density storage and retrieval of pallets or bins. WarehouseOne provides the warehouse management and operational context required to connect physical automation with inventory, orders and fulfilment processes.
WarehouseOne supports warehouse robotics by providing a connected warehouse management environment in which automated material-handling and robotic technologies can work alongside inventory and fulfilment workflows. Relevant automation technologies can include AMRs, AGVs, AS/RS, robotic picking systems and other automated material-handling equipment. Robotic systems can perform physical movement or handling tasks, while WarehouseOne can provide the inventory, order, location and task information required to coordinate warehouse activities. The exact robotics integration depends on the equipment, control systems, interfaces and warehouse automation architecture.
Computer vision can improve warehouse operations by using cameras and AI-based image analysis to identify physical events that may otherwise require manual inspection. Potential warehouse applications include detecting damaged packaging, monitoring inventory movement, identifying misplaced items and supporting selected worker-safety checks. WarehouseOne's Smart Warehouse architecture includes vision-based damage checks alongside RFID, environmental sensors and other warehouse IoT technologies. Computer vision can therefore complement conventional WMS transaction data by providing greater visibility into what is physically happening on the warehouse floor.
RTLS, or Real-Time Location System, is a technology used to determine the location of assets, equipment or personnel within a warehouse or distribution centre. RTLS solutions can use technologies such as Ultra-Wideband (UWB), Bluetooth Low Energy (BLE), RFID and other location technologies to provide real-time location information. In warehouse management, RTLS can support asset tracking, equipment visibility, movement monitoring, warehouse utilisation and operational intelligence. When connected with a WMS, location information can provide additional context about where inventory, equipment or operational resources are within the facility.
WarehouseOne supports smart warehouse operations through RFID, IoT sensors, RF scanning, wearable devices and connected warehouse equipment. RFID portals and tags can support automated identification and tracking, while IoT sensors can monitor environmental conditions such as temperature and humidity. The supplied Smart Warehouse architecture also includes forklift telemetry, dock-door sensing and vision-based damage checks. These technologies can bring physical warehouse events into a connected digital environment, improving real-time visibility across inventory, equipment, environmental conditions and warehouse operations.
Predictive maintenance uses equipment and sensor data to identify patterns that may indicate developing equipment problems before a failure causes significant operational disruption. In a warehouse, relevant equipment can include conveyors, forklifts, automated storage systems, robotic equipment and other material-handling infrastructure. Data such as vibration and temperature can be analysed to identify abnormal conditions and potential maintenance requirements. WarehouseOne can connect predictive maintenance concepts with warehouse operations so equipment health and availability can be considered alongside fulfilment and operational requirements.
WarehouseOne extends warehouse operations into last-mile delivery through route planning, vehicle and driver management, live stop tracking, proof of delivery and DIFOT reporting. Once an order leaves the distribution centre, delivery visibility becomes part of the fulfilment process. WarehouseOne can help coordinate delivery routes, monitor vehicles and drivers, capture proof of delivery and measure DIFOT, or Delivery In Full, On Time, performance. This creates a more connected operational flow from warehouse picking and dispatch through the final delivery stage.
WarehouseOne provides warehouse analytics and self-service business intelligence over warehouse datasets, enabling teams to monitor KPIs and use AI-assisted analysis to explore operational information. Warehouse analytics can cover inventory accuracy, OTIF, DIFOT, dock-to-stock performance, space utilisation, order fulfilment, labour productivity, inventory ageing, picking performance and other warehouse KPIs. The platform's analytics capability can support queries and AI-generated charts, allowing users to move from static reporting towards more interactive warehouse intelligence and operational decision support.
WarehouseOne's Integration Hub supports enterprise connectivity, including the supplied connectors for SAP S/4HANA, Oracle NetSuite and Microsoft Dynamics 365, alongside LIMS and historian integrations. Integration capabilities include message queues, checksums and reconciliation to help manage the exchange and validation of data between systems. The exact integration scope depends on the customer's ERP configuration, interfaces, data model, warehouse architecture and implementation requirements. WarehouseOne can therefore operate as part of a broader enterprise technology ecosystem rather than necessarily replacing every existing business system.
A WMS primarily manages warehouse inventory and warehouse execution, an MES manages manufacturing execution, while an ERP manages broader enterprise processes such as finance, procurement, inventory and supply-chain planning. Cerexio WarehouseOne provides core WMS capabilities while extending into AI warehouse optimisation, warehouse IoT, digital-twin mapping, advanced analytics, connected workers, automation integration and last-mile delivery. Unlike an MES, WarehouseOne is centred on warehouse and distribution-centre operations rather than production execution. Its relationship with an existing ERP, MES or other WMS should be determined according to the organisation's operational requirements and technology architecture.
WarehouseOne supports Industry 4.0 warehouse operations by connecting WMS processes with AI, Industrial IoT, RFID, digital twins, analytics, computer vision, location intelligence, connected workers and warehouse automation. A smart warehouse can use IoT sensors and RFID to sense physical activity, AI to analyse demand and operational patterns, digital twins to represent warehouse space, and automation technologies such as AMRs, AGVs, AS/RS and robotic systems to execute physical tasks. WarehouseOne provides a digital foundation for progressively connecting these technologies and moving from conventional warehouse management towards intelligent, connected and increasingly autonomous warehouse operations.
Cerexio WarehouseOne is designed for diverse and complex warehouse environments, not only conventional warehouses storing ambient inventory. It can support high-velocity distribution centres, food and beverage warehouses, cold stores, frozen warehouses, pharmaceutical and healthcare warehouses, FMCG and retail distribution centres, e-commerce fulfilment centres, manufacturing warehouses, chemical storage environments, gas and tank storage facilities, 3PL operations and other specialised logistics environments.
In these environments, the warehouse may involve perishable goods, chilled and frozen products, temperature-controlled storage, heating or cooling facilities, storage tanks, environmental monitoring, specialised material-handling equipment and safety-critical infrastructure. WarehouseOne's combination of inventory management, FEFO, IoT, environmental sensing, equipment visibility, traceability, analytics and connected warehouse operations is intended to support environments where what is being stored and the conditions in which it is stored are both operationally critical.