Predict, see, and adapt: What's new in Infor Supply Chain

The Infor Supply Chain October 2026 release puts AI agents, deeper integrations, and new planning and warehouse controls where plans meet reality. Across Infor Supply Chain Planning (SCP), Infor Warehouse Management System (WMS), and Infor Nexus, the release helps you predict earlier, see impact more clearly, and adapt through workflows your teams can actually run.

Why supply chain AI agents, why now

Running a supply chain well is harder than it used to be. Trade rules and tariffs reset, canal capacity gets constrained, critical materials hinge on policy decisions, and regulators increasingly expect proof of where products and inputs came from. The real challenge is not any single disruption. It is how quickly a signal outside your business becomes a production decision, a fulfillment problem, or a cash question.

Planning is where resilience starts, and many companies still need stronger planning to get there. A plan built on realistic demand, constraints, and sourcing options gives every downstream team a credible starting position. Because plans meet reality, the best planning tools also help teams adjust quickly when conditions change. Customer expectations raise the stakes. Buyers once accepted four to six weeks for delivery. Today the vendor owns availability, speed, and accurate commitments.

Supply chain pressure shows up across orders, production, inventory, procurement, and finance. As growth adds products, locations, and partners, operating needs become more specialized. The October release responds in three areas: planning, the warehouse, and the partner network. You do not need all of it at once. Start where the pressure is greatest and expand as the value case grows.

Planning: smarter forecasts and faster scheduling decisions

The October release for Infor SCP improves forecast quality where traditional time series is not enough and gives schedulers faster answers inside the tools they already use.

Production scheduling

• Ask questions in plain language. The new GenAI assistant answers questions from the Planning Board about model data, parameters, late orders, and batch inconsistencies. A dedicated end-of-shift reporter agent builds consistent handover reports from saved templates. It is read-only for now, focused on exploration, reporting, and documentation, and it needs an Infor Velocity Suite subscription.

• Dual-stage optimization. Schedulers select problem batches and optimize across coupled stages from Production Scheduling for the web, with no macro to configure. Results show the Key
  Performance Indicator (KPI) impact, and the scheduler accepts or cancels.

• Work faster in Production Scheduling for the web. Run macros with one click, see all scheduled KPIs in the Schedule Overview panel, and edit batches on the new Batches page. A live link brings Manufacturing Orders from Infor CloudSuite M3 into Production Scheduling for Food & Beverage and Chemicals.
  
  

Demand forecasting and inventory optimization

• AI driven attribute-based forecasting. It helps with new items, promotions, sparse demand, cannibalization, and changing customer behavior. It lets planners compare forecast approaches and make more confident decisions.

• Strategic Inventory Planning. It supports better stock policy, safety stock, and service-level decisions directly from Demand Forecasting for both dependent and independent demand.

• Event-based forecasting and Forecast Consumption. They help planners handle promotions and demand events and consume forecasts at a more useful planning level.

• Live Infor CloudSuite LN integration for Demand Forecasting. It provides an API-based incremental connection to reduce integration effort and speed time to value.
  
  

Supply planning

• Smart MRP with sourcing rules. It sends optimized sourcing logic from Supply Planning to CloudSuite M3 for Food & Beverage and Chemicals for smart MRP decisions.
  
  

Warehouse: where customer commitments become real

Picking is roughly 55% of warehouse operating cost, and more than half of that is travel between locations. Labor is scarce, turnover is high, and order mix shifts by the hour. The October release for Infor WMS responds with agents that act on live conditions, plus deeper controls for the floor.

The result: the same team moves more lines per hour with less walking, new hires get productive faster, and fast-moving items stay where they are easiest to pick.

Four supply chain AI agents for warehouse management, all in plain language

• Wave Agent groups orders that share line items, scores each grouping, and builds and releases waves on your confirmation. The goal is less picker travel, more lines per hour, and a lower cost per order.

• Slotting Agent applies ABC velocity analysis, updates the item slotting plan by zone, and executes the re-slotting action. In this release it supports proactive replenishment only.

• User Agent handles user setup, permissions, and bulk updates in a sentence, which makes onboarding new hires easier and pulls information from multiple screens in one query.

• Mobile Screen Agent compares, troubleshoots, and modifies mobile screens through conversation.

The agents are available with Infor Velocity Suite and switch on through configuration, not a re-implementation. People stay in control: the Wave Agent releases waves on your confirmation, and the User Agent follows a show, preview, confirm pattern for every state change.

More Infor WMS features in the October release deliver these same benefits, including allergen-aware put away, full pallet picks in Work Monitor, Brady voice integration, and near-real-time data streaming.

What AI-driven warehouse slotting looks like in practice

Gildemeister used AI- and machine-learning-driven dynamic slotting in Infor WMS. Its golden-zone pick rate rose from roughly 20–25% to 90% in Peru and 70% in Chile. Picker travel fell 15–20%, estimated peak-period overtime fell 25% to 30%, and temporary labor fell 67%. Across its broader digitalization program, distribution-center on-time, in-full (OTIF) performance improved from 95.4% to 99.6%. Productivity rose from 4.69 to 7.96 lines per hour, a 70% increase at its parts distribution center. Intelligence improved where inventory sat and how work moved.

The supply chain network: from seeing to acting

The customer promise depends on suppliers, carriers, ports, and financial partners that no single enterprise controls. Infor Nexus connects those parties around orders, shipments, items, inventory, events, and payments. But visibility alone is not the finish line, because a red light on a dashboard does not resolve an exception. The October release for Infor Nexus adds agents that help teams prioritize and act.

• Infor Nexus Digital Assistant is an AI-powered assistant embedded in daily workflows. It routes each request to the right specialist agent, surfaces insights, summarizes information, and guides action.

• Order Standard Agent gives immediate order and item status and tracks performance. Its OTIF skill diagnoses data quality issues and recommends fixes to improve the OTIF calculation.

• Order Collaboration Standard Agent analyzes supplier-proposed order line changes and recommends approving, negotiating, or routing for follow-up. Review that can take days is cut to hours, and available-to-promise (ATP) accuracy stays current.

• Freight Pay & Audit Standard Agent reviews freight invoices against contracted rates, flags discrepancies, and recommends approving, disputing, or escalating.

• Shipment Standard Agent monitors active shipments, answers status and Estimated Time of Arrival (ETA)questions, and flags exceptions, including port dwell, early enough to avoid missed deliveries and demurrage and detention costs.

• Infor Nexus Agent in Microsoft 365 Copilot brings Infor Nexus data into Outlook, Teams, Word, and Excel, so you can ask Copilot for an order status from an email and get the answer in place.

The value shows up when shared context replaces status chasing. These agents require Infor configuration to enable.

 

The pattern that repeats: connected data, AI in the workflow, a human who confirms

 

The same pattern runs through planning, the network, and the warehouse. Here is an illustrative walkthrough of how one late container could be handled across the portfolio:

1. Plan: When a delay threatens the schedule, a scheduler selects the affected batches, runs dual-stage optimization from the Planning Board, and reviews the KPI impact before accepting the change.
   
   
2. Network: The Shipment Standard Agent in Infor Nexus flags port dwell on an inbound container before demurrage and late arrival hi
   
   
3. Warehouse: The Wave Agent groups the affected orders into a new wave, released on your confirmati
   
   
4. Customer: Teams act before the delay reaches the customer, so promise dates are easier to hold.

This is the shift from reacting to adapting. Intelligence works inside the workflows where decisions get made, and people approve of what matters. These are separate products, and you can adopt each one on its own. The coordinated flow above shows direction, not a single shared platform or experience.

 

Where to start with Infor Supply Chain

Do not let uncertainty stay abstract. Pick one problem, one workflow, and one next conversation.

• Match the release to your pressure point. Forecast confidence and scheduling point to Infor SCP. Picker travel, labor, and onboarding point to Infor WMS. Supplier changes, freight invoices, and shipment exceptions point to Infor Nexus.

• Learn more about Infor Supply Chain. Dive into the full portfolio on the Infor Supply Chain solutions page.

• Reach out. Fill out the “Let’s connect” form at the bottom of this page to talk with our supply chain team about where to start.