Infor ERP · CloudSuite · Industry AI
Connect the way you make, move and deliver. MetaDynamic provides Infor ERP consulting, implementation and integration, with a practical path to AI agents, automation and smarter operations.
Industry fit. Connected processes. Measurable progress.
Manufacturing and distribution expertise.
Use cases, approvals and measurable outcomes.
Integration, adoption and ongoing support.
Find your Infor fit
Infor is a portfolio of industry-focused solutions. We start with your processes and select the platform, applications and extensions that match your operating model.
Bring engineering, projects, production and service into a connected operating model. Assess LN for multi-site manufacturing with demanding product, cost and quality requirements.
Explore Infor LNCoordinate products, supply and financial operations across businesses and locations. Explore M3 for sectors such as fashion, food and beverage, chemicals, equipment and distribution.
Explore Infor M3Build on SyteLine ERP to manage orders, materials, production and financials. Evaluate planning, scheduling and industry extensions against your manufacturing mix and growth plans.
Explore CloudSuite IndustrialConnect material transactions, warehouse mobility and labour tracking with supported Infor ERP environments.
Explore Factory TrackMatch scheduling tools to your ERP, resources and constraints; test how plans respond to changes on the floor.
Explore schedulingApplication fit, deployment options and add-ons vary by product. We confirm the solution architecture and commercial scope before implementation.
Connected business processes
An ERP decision starts with everyday work: the order that needs a promise date, the component that is missing, and the financial result that needs explaining.
Connect operational transactions with accounting, cost visibility and financial reporting.
Bring stock, orders and material movements into a consistent operational view.
Link buying decisions, supplier commitments and receipts to business demand.
Coordinate manufacturing records, work in progress and quality requirements.
Align order commitments, availability and invoicing with delivery capability.
Define useful operational measures and give each role the right context.
Infor Industry AI
Industry AI combines predictive, prescriptive and generative capabilities with agents designed for specific roles and processes. The opportunity is to make decisions and follow-through more effective.
MetaDynamic helps identify where an agent can add value, which records it may use, and where a person must approve the next step.
Identify the relevant order, supplier or production issue.
Bring together permitted records and business rules.
Explain the proposed next step and route it for approval.
Execute the authorised task and retain the outcome.
Infor currently describes selected Industry AI Agents and GenAI Assistant capabilities as limited availability. Product readiness, region, entitlements, consumption and data access must be confirmed for your proposed use case.
Velocity Suite · Process mining · RPA
Use evidence from your processes to choose the next improvement. Infor Velocity Suite brings together AI, process mining and automation, including the Value+ solution catalogue.
Use process mining to examine event records, bottlenecks and rework. Prioritise a repeatable problem with an agreed business owner.
Combine supported workflows, document processing and RPA. Include validation, exception handling and a recoverable execution path.
Compare cycle time, review effort and successful completion with the baseline. Monitor the process as volumes and business rules change.
For example: capture an order → validate it → review exceptions → post the approved transaction.
Industry 4.0 & industrial IoT
Bring operational events into business decisions, with a clear boundary between enterprise integration and industrial control.
Coordinate production execution, quality, maintenance and related plant processes. Relate actual performance to the plan and investigate exceptions.
Capture material movements, job transactions and labour information using suitable devices and supported ERP connections.
Connect selected machine signals through appropriate gateways. Combine them with execution and planning data to support timely decisions.
Signals, scans and shop-floor inputs.
Orders, materials, quality and resources.
Business rules and supported data flows.
Priorities, decisions and accountable action.
Infor MES and Factory Track are distinct offerings. Equipment connectivity, devices, protocols, cybersecurity and any additional subscriptions are assessed as part of the project scope.
Emerging possibilities
Test emerging technologies against a specific operational need, using a limited pilot and measurable acceptance criteria.
Connect operational context to a model of an asset, process or facility. Assess AR/VR training, maintenance guidance or metaverse collaboration where a 3D experience helps users make better decisions.
Evaluate distributed records when several organisations need a trusted view of provenance. Compare the approach with conventional traceability and network solutions before choosing the architecture.
These are integration opportunities, not standard features included with every Infor ERP. Immersive platforms, blockchain networks, specialist partners and commercial terms require separate assessment.
Infor Industry Cloud Platform
Design the connections and data ownership before adding more applications. Infor’s platform supports integration, data, extensibility and AI around the selected CloudSuite.
Use Infor ION, supported APIs and appropriate connectors. Include authentication, monitoring, error handling and recovery.
Define ownership, quality and measures across Infor data services and analytics. Keep reporting definitions consistent across teams.
Apply role-based access, review sensitive actions and test changes. Agree responsibilities for cloud services, extensions and support.
MetaDynamic Infor services
Bring process, technology and adoption decisions into one delivery plan, from initial assessment to ongoing improvement.
Assess processes, requirements and current systems. Compare the Infor options and define a phased roadmap with explicit dependencies.
Configure agreed processes, roles and reporting. Validate the solution with business teams before rolling it out across locations.
Assess legacy data, customisations and interfaces. Rehearse data migration and reconciliation, then plan cutover and business continuity.
Connect ERP with the applications, logistics and devices in scope. Extend the solution with maintainability and support ownership in mind.
Prioritise useful automation, validate AI availability and train users in the workflows and review responsibilities relevant to their role.
Manage incidents, releases and improvement requests against an agreed service model, with clear coverage and response expectations.
From assessment to operation
Each stage has a defined output, an accountable owner and a decision to proceed. The plan reflects your operational calendar and readiness.
Confirm process priorities, scope and the starting baseline.
Agree the solution, data model and integration responsibilities.
Build the approved processes, interfaces and extensions.
Test end to end, reconcile data and rehearse cutover.
Prepare users, confirm readiness and stabilise operations.
Review results, support adoption and prioritise the next change.
Measure what matters
Agree the baseline, target and measurement period with the people who own the process. Evaluate the outcome alongside the total cost of ownership.
Measure elapsed time, manual touches and exception handling.
Compare recorded stock with agreed physical verification results.
Track plan versus actual performance and investigate variation.
Monitor completed tasks, review effort, rework and operating cost.
Licences, implementation, integrations, devices, AI capacity, training and ongoing support all belong in the investment model. Results depend on the agreed scope and adoption.
Questions before you start
Practical answers for evaluating CloudSuite, Industry AI and connected operations.
The decision depends on your production model, industry, sites, financial requirements and existing systems. LN is suited to complex discrete and project manufacturing; M3 supports industry-specific manufacturing and distribution; CloudSuite Industrial builds on SyteLine. MetaDynamic evaluates process fit, gaps and total cost before recommending a route.
Infor ERP provides the core business applications. An industry CloudSuite combines the relevant ERP with selected industry applications and platform capabilities. Velocity Suite adds a package of AI, process mining and automation capabilities. The precise applications, services and commercial terms must be confirmed for your selected offering.
Infor Industry AI Agents support role-specific tasks and can use the GenAI Assistant to interpret requests and coordinate work. Infor currently describes selected agents and assistant capabilities as limited availability. We confirm eligibility, release, licensing, data access and approval controls before proposing a deployment.
Process mining examines process records to reveal how work actually moves through the business. RPA handles suitable repetitive tasks, while workflows control decisions and exceptions. We use the evidence to choose an automation candidate, test it and compare the result with its baseline.
No. Infor MES supports broader manufacturing execution, including production, quality, maintenance and related plant processes. Factory Track focuses on manufacturing automation, warehouse mobility, material transactions and labour tracking. We assess the requirements and ERP compatibility before selecting or combining them.
Yes, with an appropriate integration design. The project needs to define equipment interfaces, gateways, data ownership and event handling. Infor integration services and supported APIs can connect business applications; industrial connectivity and safety-critical control remain specific engineering responsibilities.
They should be treated as separate solution opportunities, not assumed ERP features. Digital twins and AR/VR experiences can use governed ERP and operational data. Blockchain may suit selected multi-party traceability needs. Each requires its own architecture, partners, permissions and business case.
Begin with an assessment of processes, users, data, integrations and rollout scope. Separate subscription and infrastructure costs from implementation, devices, AI consumption and support. Agree a baseline and measurable targets for areas such as order handling, stock accuracy or schedule adherence; benefits are validated rather than guaranteed.
Your next move
Share your current ERP landscape and the operational challenge you want to solve. Let’s turn it into a practical plan.