Infor April 2026 release: what M3 customers should look at first

Infor's April 2026 release includes new capabilities across Velocity Suite, Industry AI Agents, Agentic Orchestrator, workspaces, planning, forecasting, warehouse operations, traceability, and industry-specific CloudSuite processes.

That is a lot to take in.

This is also where Feature Release Management becomes useful.

Elvenite's Feature Release Management is included for all our Managed Services customers. It gives customers proactive guidance for Infor CloudSuite releases, with structured support for release planning, verification, administration, and prioritized improvements tied to the latest M3 Cloud Edition (M3CE) functionality.

The benefit is better control. Instead of handling each release through ad hoc decisions, customers get help assessing what is relevant for their current solution, business processes, integrations, users, and roadmap. FRM also creates clearer release traceability, so changes, decisions, and follow-up actions are documented throughout the implementation process.

For many customers, that is the difference between having access to new functionality and actually turning it into value in daily operations. It also means the release work becomes part of an ongoing partnership with consultants who know the customer's business, rather than a one-off review of new features.

For Infor M3 and CloudSuite customers, the useful question is not only what is new. It is what is relevant for your business, your current setup, your data, your processes, and your roadmap.

Infor's own AI Adoption Impact Index gives a good reason to look at the release this way. According to Infor, 80% of business decision-makers believe their organization can manage an AI implementation, but 49% are still in the early stages of AI deployment. The main barriers are familiar: data security, sovereignty and compliance, lack of internal AI talent, and unclear business benefits or ROI.

That gap matters.

New AI and automation capabilities only create value when they are connected to real work: the ERP processes people use every day, the data they trust, the decisions they need to make, and the operating model that keeps improvements moving after go-live.

For Elvenite, that is where the April 2026 release becomes interesting. Not as a list of features, but as a reason for customers to review how ERP, data, AI, integrations, and long-term operations fit together.

Here are the areas Infor M3 and CloudSuite customers should look at first.

1. Evaluate AI where it touches real processes

One of the clearest themes in the April 2026 release is AI moving closer to operational work.

Infor announced updates across Infor Velocity Suite, Infor Industry AI Agents, and the limited availability of an enhanced Infor Agentic Orchestrator. The release also points to capabilities such as multi-agent coordination, MCP-based integration, Focus Mode, Inline Thoughts, and an evaluation framework for validating agent responses.

In simple terms, this is about making AI less isolated.

Instead of treating AI as a separate tool beside the business, the direction is toward AI that can work with industry processes, understand context, coordinate tasks, and operate with more visibility and control.

But customers should be careful with the starting question.

Do not start with: "Which AI feature is new?"

Start with: "Which process has enough value, data quality, ownership, and control to benefit from AI support?"

That difference matters because AI in ERP is not only a technology question. It is a business process question. If master data is weak, process ownership is unclear, or people do not trust the output, AI can add speed without improving decisions.

Good first areas to review are processes where teams already spend time collecting information, checking exceptions, creating repetitive outputs, or moving between systems before acting.

For an Infor M3 customer, that could mean:

• order handling and customer service
• purchasing and supplier follow-up
• forecasting and planning
• warehouse operations
• item and master data quality
• finance follow-up
• process mining and operational analysis

The practical question is where AI can reduce manual work while still keeping people in control.

Infor's research shows why that control matters. The company reports that 31% of respondents are uncomfortable with autonomous agents executing critical business processes, and that nearly half of AI-generated insights and workflows require review by a subject matter expert.

That does not mean companies should wait. It means AI adoption needs structure.

For customers, the next step is to identify a small number of real process candidates, then check what needs to be true before AI can support them: data access, data quality, human review, integration, security, ownership, and measurable business value.

2. Use role-based workspaces to close the gap between data and action

Another practical area to review is the user experience around everyday work.

Infor's April 2026 release material highlights new and enhanced workspaces and Experience Designer apps. These are important because many ERP users still work across too many screens, reports, emails, exports, and manual checks.

That creates friction.

People may have the data somewhere, but not in the moment where they need to make a decision. They may understand the task, but still need to move through several views before they can act. They may have dashboards, but not a clear role-based view of what needs attention now.

This is where workspaces and Experience Designer can be useful.

The value is not simply a better-looking interface. The value is bringing role-relevant information and action closer together.

For M3 customers, this is worth reviewing role by role:

• Which roles still rely on manual workarounds to see priorities?
• Where do users leave M3 to understand what needs attention?
• Which tasks require unnecessary navigation between screens?
• Which workflows could be simplified without heavy custom development?
• Where could better role-specific views reduce errors or waiting time?

This connects directly to adoption.

Feature releases often fail to create value because users do not change how they work. If a new capability is hard to find, hard to understand, or disconnected from the actual task, it stays unused.

Role-based workspaces can help bridge that gap. They make release value more visible in daily operations, especially when paired with process understanding and a clear adoption plan.

3. Look at planning, forecasting, and warehouse flow

Planning and warehouse operations are another strong area in the April 2026 release.

The release material points to updates around Infor Supply Planning, Infor Demand Forecasting, production scheduling, and Infor WMS pick path optimization.

The common theme is practical: reduce manual handovers, improve visibility, and help teams make better decisions around inventory, capacity, picking, and demand.

For many operational companies, this is where small improvements can have a large effect.

If planning depends on manual synchronization between systems, people lose time and confidence. If forecasts do not reflect seasonality, new products, or weak sales history, inventory decisions become harder. If warehouse picking uses static paths that do not reflect real conditions, time is lost in movement, waiting, and rerouting.

Infor's public announcement mentions a Velocity Suite add-on for Infor WMS focused on pick path optimization. According to Infor, the use case uses machine learning to guide warehouse workers along more efficient picking routes, and customers have achieved up to a 25% decrease in travel distance.

That is the kind of release update customers should translate into a practical operational review.

Questions to ask:

• Where does planning still depend on manual updates between M3 and connected planning tools?
• Which forecasts are weakest today: seasonal demand, new products, low-history items, or changing customer demand?
• Where do planners lack visibility into bottlenecks, capacity, inventory, or scenario impact?
• Which warehouse flows are affected by unnecessary walking, congestion, or manual rerouting?
• Which processes would benefit from better integration with M3 before adding more tools?

The goal is not to adopt every new planning or WMS capability at once.

The goal is to identify where the release can support the business areas already under pressure: inventory control, service levels, production flow, fulfillment speed, and planning quality.

4. Treat traceability, compliance, and ESG as data problems

Traceability, compliance, e-invoicing, localization, and ESG reporting also appear across the April 2026 release material.

These topics can look separate at first. In practice, they share the same foundation: connected, trusted operational data.

For food and beverage companies, traceability often depends on being able to follow the connection between suppliers, raw materials, lots, production, and finished goods. For fashion companies, supplier and compliance data needs to be structured and accessible. For finance teams, localization and e-invoicing requirements depend on accurate transaction data and controlled processes. For ESG work, reporting depends on turning operational data into reliable metrics.

The customer takeaway is simple:

Do not treat traceability, compliance, and ESG as reporting work only.

They are data and process questions.

If the data is scattered, manually maintained, or unclear in ownership, reporting becomes slow and fragile. If the data flow is connected to ERP transactions and business processes, the organization has a stronger base for automation, auditability, and decision support.

This is also where Data Intelligence and Managed Services connect to ERP work.

Customers should review:

• Which traceability data is difficult to access or share today?
• Which compliance processes depend on manual collection or spreadsheets?
• Where do ERP transactions need to become actionable metrics?
• Which supplier, item, lot, product, or financial data needs clearer ownership?
• Which reporting requirements will increase over the next 12 to 24 months?

For many companies, this is not about one release feature. It is about building a better data foundation around business-critical processes.

What to review by industry

The April 2026 release is broad, so customers should filter it through their own business model. A food and beverage company should not evaluate the release in the same way as a fashion company or a distribution business.

Here is a practical starting point.

Food and beverage

Food and beverage companies should pay close attention to traceability, planning, forecasting, production scheduling, and product data.

Relevant areas to review include:

• Graphical Lot Tracker and traceability-related APIs
  grower contract management and reverse self-billing, where relevant
• PLM for Process integrations
• GenAI support for supplier certificates, specifications, and formula-related work
• Demand Forecasting
• Production Scheduling
• Supply Planning integration with M3

The business question is how these updates can support better traceability, fewer manual steps, stronger planning, and faster response to changing demand or compliance requirements.

Distribution

Distribution companies should focus on order handling, eCommerce search behavior, warehouse flow, forecasting, and trade promotion management.

Relevant areas to review include:

• Sales Hub single-page order entry
• eCommerce keyword search
• Infor WMS pick path optimization
• counter sales functionality
• Trade Promotion Management
• Demand Forecasting
• Supply Planning

The business question is where the release can improve speed, visibility, and consistency across sales, warehouse, customer service, and planning.

Fashion

Fashion companies should review product lifecycle visibility, supplier coordination, traceability, compliance, and demand planning.

Relevant areas to review include:

• PLM for Fashion visibility
• critical path tracking
• fashion-specific AI agents
• traceability APIs
• certificate and compliance-related handling
• Demand Forecasting
• Supply Planning

The business question is how to reduce manual follow-up, improve product and supplier visibility, and support faster decisions across design, sourcing, production, and delivery.

Manufacturing

Manufacturing companies should focus on planning, scheduling, PLM, CPQ, MES, and finance/localization updates.

Relevant areas to review include:

• advanced planning and scheduling
• PLM for Discrete
• CPQ GenAI capabilities
• finance and localization updates
• REST APIs and integration readiness

The business question is how to improve planning quality, shop-floor accuracy, product data control, quote speed, and integration between operational systems.

A practical checklist for M3 customers

Before deciding what to adopt from the April 2026 release, use a simple checklist.

1. Which release capabilities are relevant to our current CloudSuite setup?
2. Which capabilities are generally available, limited availability, feature toggled, configuration-dependent, or tied to Velocity Suite?
3. Which updates require licensing, roadmap decisions, or technical preparation?
4. Which business processes have enough data quality and ownership to benefit now?
5. Which teams need to be involved before we decide: IT, finance, supply chain, warehouse, production, compliance, product, or business leadership?
6. Which updates should we test now, plan for the next release cycle, or leave for later?
7. Where do we need support with Data Intelligence, integrations, release management, or Managed Services?

This is where the release becomes useful.

Not every new capability should become a project. But every release is a chance to reassess where your platform can create more value.

The strongest approach is to connect release planning to business priorities:

• Where are we losing time?
• Where are decisions still too manual?
• Where is data not trusted?
• Where do users struggle to act?
• Where can AI, automation, or better process design support real outcomes?

Turning the release into a practical roadmap

Infor's April 2026 release gives M3 and CloudSuite customers several areas to review: AI agents, orchestration, role-based workspaces, planning, forecasting, WMS, traceability, compliance, ESG, and industry-specific process support.

The key is prioritization.

Customers do not need to chase every new feature. They need to understand which updates fit their business, which dependencies matter, and which improvements can create value in daily operations.

That requires more than reading release notes.

It requires knowledge of Infor M3, data flows, integrations, business processes, user adoption, and long-term operations. It also requires a clear view of what should be tested now, what belongs on the roadmap, and what needs stronger data or governance before it is ready.

Elvenite helps customers work through that kind of decision.

If you want to understand which April 2026 release updates are relevant for your M3 environment, Elvenite can help you assess the fit across ERP, data, AI, integrations, and long-term operations.