Oracle Fusion Cloud Warehouse Management 25D: Redwood Mobile, AI Wave Summary and Smarter Warehouse Operations

Oracle Fusion Cloud Warehouse Management 25D brings a broad set of updates across warehouse mobility, inbound logistics, inventory operations, outbound execution, SCM integrations and workforce management. The release update focuses on improving warehouse efficiency through Redwood Mobile, image capture, reslotting, pallet handling, AI-generated wave summaries, reconciliation workbenches and prebuilt integrations across Oracle SCM.

For warehouse leaders, this update is important because modern warehouse operations need more than basic receiving, putaway, picking and shipping. Teams need mobile-first execution, better exception visibility, smarter slotting, stronger integration with manufacturing and procurement, faster reconciliation and operational insights that help supervisors act quickly. Oracle Warehouse Management 25D points toward a more connected and intelligent warehouse operating model.

Warehouse Management 25D Highlights

The update covers major enhancements across WMS Common, Inbound Logistics, Inventory Operations, Outbound Logistics, Cloud SCM Integration and Workforce Management. Key highlights include Redwood Mobile customization support, label print prompt control, JSON support for input and output interfaces, image capture during receiving and loading, serial tracking for single SKU receiving, reslotting workbench, cycle counting improvements, AI Wave Summary, direct allocation of pallets and SCM Reconciliation Workbench enhancements. This breadth shows that Oracle is improving both operational execution and administrative control. The update is not limited to one warehouse process. It impacts how users receive, inspect, store, replenish, pick, allocate, ship, reconcile and monitor warehouse labor.

Redwood Mobile as the Future of WMS Mobility

A major theme in the material is the movement toward Redwood Mobile WMS. Oracle notes that Web RF was intended only for low-volume testing and is being phased out, while Redwood Mobile WMS is positioned as the replacement for newer and future mobile warehouse execution. Existing customers also have migration timelines for legacy RF approaches. This matters because mobile execution is central to warehouse productivity. Receiving, putaway, cycle counting, picking, replenishment, loading and inquiries all depend on fast and reliable mobile workflows.

Redwood Mobile also supports customer and partner customizations. Oracle’s material explains that customers and partners can build and extend custom mobile applications, create tailored mobile experiences using their preferred development frameworks and integrate Redwood Mobile with custom-built applications and extensions. The Redwood migration progress is also notable. Oracle highlights that 28 new modules are available and 40% of screens have been converted to Redwood. For businesses, the takeaway is clear: Redwood Mobile adoption should be treated as a warehouse modernization priority, not a cosmetic UI change.

JSON Support for Input and Output Interfaces

Oracle Warehouse Management 25D adds JSON support for selected input and output interfaces. The material identifies PALLET_SHIPPING_INFO as an output interface and APPOINTMENT, ASSET and ITEM_BARCODE as input interfaces. This is useful for integration teams because JSON is widely used in modern API and integration architectures. Supporting JSON can simplify connectivity between WMS and external systems, middleware, automation platforms, carrier systems, asset systems or custom warehouse applications. As warehouse ecosystems become more connected, flexible interface formats become increasingly important.

Image Capture During Receiving and Loading

The update introduces image capture capabilities during receiving and loading. For receiving, Oracle adds a new screen parameter in RF Receive by Shipment/Load and Receive Single SKU. When enabled, users can capture an image after receiving the IBLPN, and the image is linked to the received IBLPN. Users can view the image through the IBLPN UI and RF LPN Inquiry. For loading, Oracle adds a new screen parameter in RF Load OBLPN. Users can capture an image after loading the OBLPN or pallet, with images linked to the loaded LPNs or pallets. OBLPN images can be viewed through the OBLPN UI and RF LPN Inquiry, while pallet images can be viewed through the Pallet UI and RF Pallet Inquiry. This is highly practical for warehouse operations. Image capture can support proof of condition, receiving validation, shipment documentation, claims handling, quality review and audit trails. It also reduces dependency on disconnected manual photos stored outside the system.

Improved Receiving Controls

Oracle 25D improves receiving in multiple ways.

First, Receive Single SKU now supports serial tracking. The system prompts for serial numbers when receiving serial-tracked items, and Oracle notes that the previous error restriction has been relaxed for these items.

Second, default lock code support is added during receiving. A new screen parameter allows users to populate a lock code value, and WMS applies that lock code to received LPNs during receiving trigger points such as Receive Entire Shipment and Receive LPN. This is also supported through the Receive LPN API.

Third, Oracle adds a control to restrict splitting IBLPNs. When the relevant screen parameter is enabled, the system prevents splitting LPNs with a lock code that has “Unlock on locate to Reserve,” and the functionality is available in both RF and API.

Together, these updates strengthen receiving governance, traceability and operational control.

Extra Item Property Display

The update adds an extra item property display parameter for RF Receive Single SKU and RF Sort & Receive. Supported properties include item code, alternate code, part, external style, descriptions, season code and item barcode. Oracle also notes that if the selected property is not configured for an item, the system does not display an additional property. This helps warehouse users identify products more confidently at receiving. In real operations, item code alone may not be enough. Additional descriptions, barcodes or style-related values can help reduce receiving errors and improve user confidence.

Reslotting Workbench for Better Storage and Picking Efficiency

One of the most important inventory operations updates is the Reslotting Workbench. Oracle positions it around optimizing slotting strategy, improving picking efficiency, maximizing storage capacity and adapting to demand changes. The workbench displays metrics showing the total number of item and location mismatches across active and reserve location types. It also provides graph information for each location type. The data grid displays details for each location mismatch, including location, ranking, area, aisle, assignment type, zones and capacities. It also shows item-level details such as item number, description, facility velocity code, total quantity and inventory cost.

Location graphics help users identify where optimization potential exists. The workbench can show mismatches by location ranking and location capacity by location, helping users identify storage areas with capacity issues or poor item placement. Most importantly, the workbench allows users to select items for reslotting and generate tasks to move materials from current locations to staging areas for efficient reslotting. For warehouses with changing demand patterns, the Reslotting Workbench can help reduce travel time, improve pick productivity and use storage space more intelligently.

Reslotting Setup Requirements

Oracle explains that the Reslotting Workbench uses two key metrics from items and locations: the item’s Facility Velocity Code and the location’s Location Ranking. It also notes that naming conventions for velocity codes and location rankings should be consistent. This is an important implementation point. The workbench depends on data quality. If item velocity and location ranking are inconsistent, the workbench may not produce useful slotting insights. Businesses planning to adopt reslotting should first review item setup, location setup and governance around velocity classification.

Pallet Handling in Full LPN Replenishment

Oracle 25D expands pallet handling in WMS transactions for faster warehouse operations. Entire pallet allocation is now available on movement requests for Full LPN replenishment flows. Move LPN and Full LPN Replenishment transactions are enhanced to process the entire pallet as a whole, and a task creation flag specifies whether the movement is for the full pallet or only the LPN. Configuration details include a required pallet number on the movement request and a task creation template flag for scanning the pallet number when a whole pallet is allocated. The flag applies across replenishment trigger modes for specific task types. This is useful for warehouses that handle high-volume replenishment and palletized stock movement. Processing the pallet as a whole can reduce scans, improve execution speed and simplify replenishment operations.

Optimized Cart-Based Putaway Flow

Oracle improves cart-based putaway by allowing Build Putaway Cart to auto-launch from RF Sort and Receive. If auto-assign-task is enabled, the Execute Task screen is called immediately, and after the putaway task is completed, the system returns to RF Sort and Receive. If auto-assign-task is disabled, the system navigates back to the RF Sort and Receive program. The update also adds an LPN scan prompt when multiple LPNs are found in the same position. This avoids users picking from the wrong LPN when multiple LPNs are placed in the same pallet position. Oracle also expands matching columns and selection criteria for Build Putaway Cart compatibility rules and PUTAWAY_CART task creation templates, adding 92 new columns across container, item and destination location details. These improvements make cart-based putaway more accurate, configurable and efficient.

Direct Item Procurement Flow

The Direct Item Procurement Flow adds new fields in Purchase Order Detail, including destination location, manufacturing work order number and manufacturing operation sequence. Destination location information from the PO details is copied to the corresponding ASN details. Oracle also expands selection criteria in PutawayTypeCalcRuleView with new columns related to destination location, manufacturing work order number and manufacturing operation sequence.

When the putaway method is set to Predetermined Location, Oracle enables additional configuration fields such as Destination Location and Infer Destination Location From. If the Auto Consume Flag is enabled, the destination location must be active. This helps connect procurement, manufacturing and warehouse putaway more closely, especially where materials need to go directly to a specific destination or work order context.

Cycle Counting Improvements

Oracle 25D introduces new REST APIs to create cycle count tasks. External systems can now plan cycle counts and create cycle count tasks based on schedules. Oracle also introduces an API to create location-driven cycle count tasks based on location IDs, while item-driven task creation is not supported through APIs. The update also enhances short pick active cycle count triggers to support item-driven cycle count. Short picking an active location can now trigger item-driven cycle count tasks only for the shorted SKUs across supported transactions.

Additionally, users can trigger item-driven cycle count tasks for rejected item-driven cycle count adjustments. This is supported for task-based and manual item-driven cycle counting and bypasses the cycle count trigger to create tasks only for rejected SKUs. Oracle also expands cycle count logic to include consumed IBLPNs during reserve location detail counts. These improvements strengthen inventory accuracy and exception-driven cycle count processes.

AI Wave Summary for Outbound Logistics

One of the most notable outbound logistics enhancements is AI Wave Summary in Wave Inquiry. Users can select a wave and click AI Wave Summary to generate a summary. The generated summary provides a wave-level overview and key events, helping users quickly understand wave progress, allocation status and operational outcomes. Oracle also supports a Clear AI Summary action in Wave Inquiry, allowing users to manually clear generated wave summary information and regenerate the summary again with a different response. The system clears the summary based on the language selected by the user. This is a strong example of practical AI in warehouse operations. Supervisors and planners can reduce time spent reviewing wave details manually and get a faster operational summary.

Direct Allocation of Pallets

Oracle 25D extends direct allocation to support pallets. Users can allocate pallets or LPNs against orders. After packing, direct allocation also supports auto-loading of the entire pallet and post-packing updates and handling of the pallet. Oracle also introduces a new API to support direct allocation of pallets. This helps warehouses that ship palletized orders or manage large outbound movements. It improves allocation flexibility and supports more efficient pallet-level outbound execution.

Personal Information Removal from Orders

Oracle extends removal of personal information from orders. The update supports removal of personal information from a wider range of custom fields. In addition to standard customer and ship-to fields, custom fields on orders can also be cleared. Personal information can be removed using a scheduled job or Remove PI API. This supports better data governance and privacy management in warehouse and order operations.

SCM Reconciliation Workbench

The SCM Reconciliation Workbench is enhanced to support manufacturing movement request scenarios. It helps stage movement request errors, manufacturing direct transaction errors and OIC errors related to movement requests. For manufacturing pick confirm and cancel scenarios, the workbench covers WMS output interface errors, inventory history export errors, WMS inventory history errors, OIC errors and ERP errors related to movement request pick confirm or cancel. This is important for integrated operations. Errors across WMS, Fusion SCM, OIC and ERP flows can delay execution and create reconciliation issues. A focused workbench helps teams identify and resolve integration problems faster.

Prebuilt Integrations: RTV, Expensed Destination and Over-Receipt Tolerance

Oracle 25D includes several prebuilt integration improvements. For Return to Vendor, the update supports partial picking, allows active locations to be picked in RTV flows, allows loose inventory returns instead of full LPN returns and supports transfer of RTV lock codes to outbound or inbound LPNs in specific transactions. For Expensed Destination, Oracle supports both transfer and purchase orders. Expensed inventories are distributed to nearby workstations, auto-consumed after receipt and not treated as physical warehouse inventory. New fields are introduced in IB Shipment UI and interfaces, and Vendor QC is enhanced to prevent quality checks for expensed inventories.

Oracle also explains that prebuilt integration between Fusion and WMS supports expensed destination for purchase and transfer orders. Receipt advice can be sent with the expensed destination flag, and putaway confirmations are not sent back to Fusion because inventory is consumed. For over-receipt tolerance in purchase orders, Oracle explains that WMS validates received quantities against allowed tolerances and prevents over-receipts beyond permitted limits. Predefined integrations honor over-receipt tolerance and align Procurement and WMS in real time. These integrations improve transaction accuracy and reduce manual reconciliation.

Workforce Management Enhancements

Oracle adds workforce management improvements such as enhanced track record editing and permissions. Users can manage track records more effectively, with new permission controls to add or delete records. The update also introduces a Redwood WFM Dashboard to visualize employee break metrics. It includes visual elements such as stacked bar charts for longest break times and bubble charts showing correlation factors that may lead to longer break times, including night shifts and long work hours. These charts are drillable for additional break details. This gives supervisors better visibility into workforce patterns and operational behavior.

Roadmap Direction

The roadmap section highlights future direction across Logistics, including Warehouse Management. For Warehouse Management, the update references GenAI Intelligent Wave Summary, Reslotting Workbench, predefined integrations, SCM Reconciliation Workbench enhancements, Redwood Mobile Customization API, pallet handling, cycle count task creation APIs, employee break metrics and image capture during receiving and loading.

Upcoming and future items include AI agents such as Wave Research Advisor, Task Management Assistant, Recall and Expiry Assistant and Dock Management Assistant, along with Redwood Mobile extensibility enhancements, rules-based task prioritization, yard check-in/check-out, dual unit of measure, packing workbench expansion, document understanding for inbound shipments using AI and broader warehouse automation enhancements. Because Oracle includes safe harbor and forward-looking statements, roadmap items should be treated as directional until confirmed in release documentation.

How NexInfo Helps with Oracle Cloud Warehouse Management

NexInfo helps organizations assess, implement and optimize Oracle Cloud Warehouse Management capabilities across inbound, inventory, outbound, workforce and SCM integration processes.

For Oracle WMS 25D, NexInfo can support:

• Redwood Mobile readiness and migration planning
• WMS process assessment and configuration review
• Receiving and loading image capture rollout
• Serial tracking and lock code process alignment
• Reslotting Workbench setup and data readiness
• Pallet handling and replenishment process design
• Cart-based putaway optimization
• Direct item procurement flow configuration
• Cycle count process improvement
• AI Wave Summary adoption planning
• SCM Reconciliation Workbench support
• Prebuilt integration testing and validation
• Workforce dashboard adoption
• User training and post-go-live managed services

NexInfo helps businesses connect new Oracle WMS capabilities with real warehouse execution needs so teams can improve accuracy, visibility and productivity.

Conclusion

Oracle Fusion Cloud Warehouse Management 25D delivers meaningful improvements across warehouse operations. The update strengthens Redwood Mobile, inbound image capture, receiving controls, reslotting, pallet handling, cart-based putaway, direct item procurement, cycle counting, AI wave summaries, direct pallet allocation, personal information removal, SCM reconciliation, prebuilt integrations and workforce dashboards.

For warehouse leaders, the value is clear: better mobile execution, stronger inventory accuracy, faster exception resolution, improved slotting, more efficient pallet handling, smarter AI-assisted operations and tighter SCM integration. As warehouses become more automated, integrated and data-driven, Oracle WMS 25D provides an important foundation for the next stage of warehouse modernization.

FAQs

What is Oracle Fusion Cloud Warehouse Management 25D?

Oracle Fusion Cloud Warehouse Management 25D is a release update covering enhancements across Redwood Mobile, inbound logistics, inventory operations, outbound logistics, SCM integrations and workforce management.

What are the key highlights of Oracle WMS 25D?

Key highlights include Redwood Mobile customization, JSON interface support, image capture during receiving and loading, reslotting workbench, AI Wave Summary, direct allocation of pallets, SCM Reconciliation Workbench and prebuilt integrations.

What is Redwood Mobile WMS?

Redwood Mobile WMS is Oracle’s modern mobile warehouse execution experience, positioned as the replacement for older Web RF and legacy mobile approaches.

What is the Reslotting Workbench?

The Reslotting Workbench helps identify item and location mismatches, analyze location capacity and ranking, and generate tasks to move items for better slotting efficiency.

How does image capture work in receiving and loading?

Users can capture images during receiving or loading, and the images are linked to IBLPNs, OBLPNs or pallets for later viewing through relevant inquiry screens.

What is AI Wave Summary?

AI Wave Summary allows users to generate an AI-based summary from Wave Inquiry, helping teams quickly understand wave status and key operational events.

What cycle counting improvements are included?

Oracle adds APIs to create cycle count tasks, item-driven cycle count triggers during short picks, item-driven tasks from rejected adjustments and expanded consumed IBLPN handling.

What does direct allocation of pallets support?

Direct allocation now supports pallets, including allocating pallets or LPNs against orders, auto-loading the entire pallet after packing and post-packing pallet handling.

What SCM integrations are improved?

Improvements include SCM Reconciliation Workbench, Return to Vendor, Expensed Destination and over-receipt tolerance integration between Procurement and WMS.

How can NexInfo support Oracle WMS 25D adoption?

NexInfo can help with readiness assessment, Redwood Mobile migration, WMS configuration, reslotting setup, SCM integration testing, AI Wave Summary adoption, training and managed services.