DependMap maps the dependencies your ERP can't see, and turns a disruption into a costed, explainable impact brief in minutes.
SAP, Oracle and Infor record what was bought and when. They can't tell you, the moment a supplier fails, which finished products can no longer be built — or what that costs. So the answer is still assembled by hand, across bills of materials, contracts and inventory logs, over days you don't have.
When disruption hits, teams trace dependencies by hand. By the time the picture is clear, it's already out of date — and a single day of paralysis can cost more than the analysis ever saved.
A validated dependency graph answers the question directly: which products stop, what revenue is at risk, which suppliers offer a way out — with the reasoning shown, not asserted.
It ingests your bills of materials, supplier records and contracts and constructs a model of how every product traces down through sub-assemblies and raw materials to the suppliers and regions behind them — checked for consistency, with unsupported data flagged rather than guessed.
A monitor watches for disruption signals; a mapper traverses the graph to find every affected product and quantify the revenue at risk; alternatives and recovery timelines are surfaced where they exist.
The output is a plain-English impact assessment — affected products ranked by financial exposure, recovery options, and a clear confidence note — ready for a Chief Supply Chain Officer or CFO to act on.
DependMap takes standard ERP exports as they come. No deep integration to begin, no long procurement cycle — and because the pipeline is built for messy real-world data, you don't need to clean or reformat anything first.
Bills of materials, supplier master and volumes — straight from your ERP.
→Missing fields, inconsistent names and prose contracts are repaired where there's evidence, flagged where there isn't.
→The dependency graph is built and disruption scenarios are costed across your portfolio.
→A clear, explainable impact assessment you can share and act on.
Scheduled, read-only connectors to SAP, Oracle and Infor are a natural next step for teams that want the graph kept current automatically — and the whole system can run entirely on-premise for sensitive or export-controlled supply chains.
The dependency graph is checked for structural consistency on every build. The figures rest on a model that has been machine-verified, not eyeballed.
Every inference shows its working — this country was read from that contract clause, this supplier link from that delivery record. Nothing is asserted without a source.
Data the system can't support is quarantined with its provenance, not quietly patched. Where figures rest on estimates, it says so.
The first scenario is on us. Share a single product line's data and we'll build its dependency map and show you a disruption you may not currently have visibility of.
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