Simplify Supply Chain Complexity
Connect supplier, production, and planning data so your team and your AI agents can assess impact and replan, not just report it
Take a modern approach to supply chain management
Your supply chain does not have a dashboard shortage. Control towers flag the late shipment. Risk platforms score the supplier. Planning systems show the shortfall. All of that works.
What none of it does is tell you what the disruption means. Which orders are exposed, which customers get the call, what it costs, and which of those three things you can still change. That answer lives across ERP, SCM, PLM, and quality systems, so someone spends days assembling it by hand while the disruption keeps moving.
And planning usually finds out last. An engineering change, a quality hold, a production slip: each one has supplier consequences, and each one typically reaches the planner as an email from whoever remembered to send it.
Visibility stops at tier one
95% of companies can see tier-one supplier risk. Only 42% can see past it. (McKinsey & Company)
Inventory is the fallback
45% are raising inventory to absorb disruption, even as cash flow pressure stays acute. (McKinsey & Company)
AI stuck in pilots
Three quarters are piloting AI use cases. Only 19% have deployed at scale. (McKinsey & Company)
Adapt and extend your planning and sourcing systems
ERP owns cost and commitments. SCM owns the plan. PLM owns the product definition your suppliers build to. Each runs its own domain well. None of them were built to connect a change in one to the consequence in the others.
Mendix layers on top. Connect supplier, production, and planning data where it already lives, build the portals, applications, and agents that act on it, and leave your systems of record running.
Shared supply chain context
Connect ERP, SCM, PLM, and supplier data into one ontology. No migration. No data lake project.
Governed AI
Every model output, agent action, and human approval is traceable, auditable, and inside policy.
Coordinated replanning
One disruption signal triggers one workflow across planning, procurement, and production.
“With model-based definition, DPD, enabled by Mendix, is a one-stop shop of information for the supply chain on how to design or manufacture that component.”
Tom Grigas
IT Director of Product Design Systems, CNH Industrial
How Mendix supports supply chain management
Create software that connects supplier data, planning judgment, and AI into one governed response. Mendix gives your team the context to decide and the execution layer to act on it.
Supplier collaboration portals
- Give suppliers a single place to see requirements, drawings, and change notices.
- Replace email and spreadsheet exchange with a governed, auditable channel.
- Extend engineering and quality data outward without exposing the source system.
Disruption impact and replanning
- Trace a supplier or production event through to orders, commitments, and cost.
- Quantify exposure: which orders are at risk, for which customers, and by how much.
- Route the replan across procurement, planning, and production as one workflow.
Governed AI for planning
- Build forecasting and risk models on your own demand, supplier, and production data.
- Log every model output, agent action, and human approval.
- Keep planners in the loop on decisions that carry commercial or contractual weight.
Compliance and traceability workflows
- Digitize supplier qualification, audit, and corrective action processes.
- Maintain a traceable record from supplier through production to shipment.
- Scale a working process across regions and business units with reusable templates.
Supply Chain customer stories
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Frequently Asked Questions
What is supply chain visibility and why does it matter?
Supply chain visibility means knowing the status of inventory, shipments, suppliers, and production schedules in near real time.
Most large manufacturers already have it at tier one. Where it breaks down is depth and consequence. McKinsey’s 2025 supply chain survey found that while 95% of companies can see tier-one supplier risk, only 42% can see beyond it, and the majority of disruptions originate upstream of the suppliers they can see. Knowing a shipment is late is also not the same as knowing which customer commitments it puts at risk. Visibility is worth what you can act on.
Can Mendix integrate with our existing ERP, SCM, and PLM systems?
Yes. Mendix adapts and extends your systems of record rather than replacing them.
With pre-built connectors, APIs, and low-code integration, Mendix connects to ERP, SCM, PLM, and quality platforms, including Teamcenter. CNH Industrial used this approach to unify a multi-site Teamcenter implementation, an engineering BOM system, and a legacy drawing repository into one supplier-facing view, built in eleven weeks.
Why do supply chain AI pilots stall?
Usually because the model has no path to action, not because the model is wrong.
A demand forecasting or supplier risk model can tell you that something is likely to go wrong. It cannot tell you which commitments are exposed, and it cannot trigger the replan, because the order book, the production schedule, and the supplier contract live in three other systems. Connecting that data into shared context and pairing it with an orchestration layer is what moves a pilot into production. McKinsey found three quarters of companies piloting AI use cases and only 19% deploying at scale.
How does Mendix support supply chain compliance and traceability?
By digitizing the processes and keeping a record of every step.
Supplier qualification, audit, deviation, and corrective action workflows run as governed processes rather than as email chains and spreadsheets. Role-based access, single sign-on, and audit trails are built in, and every model inference, agent decision, and human approval is logged and traceable. That produces a defensible record from supplier through production to shipment, rather than a reconstruction assembled after someone asks for it.