Manufacturing & Industrial
Industrial Supplier Intelligence API
A supplier failing is rarely a surprise in hindsight. Payment terms stretch, lead times drift, filings go late, and the warning signs sit in four systems that never speak to each other.
- Procurement software vendors
- Manufacturers
- Supply chain platforms
- Trade credit insurers
- Contract manufacturers
What your customers would see
example interfaceMockupIllustrative mockup of the interface we would build. Figures shown are examples, not results from a live deployment.
The problem this solves
Supplier failure in manufacturing is expensive in a specific way: the part is qualified, the tooling lives at the supplier, and requalifying an alternative takes months. So the cost of a supplier collapsing is not the cost of the parts, it is the cost of a line stopped for a quarter. That asymmetry is why early warning is worth real money here and why procurement teams still mostly operate without it.
The signals are observable but dispersed. Your own data holds the earliest and best ones — lead times creeping, partial shipments, quality drifting, invoices queried, requests to shorten payment terms. Outside that, filing delinquency, director changes, charges registered against assets, legal notices, site closures and press reporting all carry information. None is conclusive alone; a late filing is often just a busy accountant.
The honest framing is that this predicts distress unevenly. Public-market suppliers and larger private companies in jurisdictions with real filing requirements can be monitored reasonably well. A small family-owned toolmaker that files abbreviated accounts eleven months late is close to opaque from outside, and those are frequently the single-source suppliers that matter most. In those cases the only genuinely early signal is your own operational data, which is also the dataset nobody is analysing.
Who buys this
Procurement software vendors, Manufacturers, Supply chain platforms, Trade credit insurers, Contract manufacturers
What the API returns
What comes back
- A distress indicator per supplier with the signals behind it and their dates
- Capacity and lead-time trend derived from your own order and receipt history
- Financial signals from filings: delinquency, deterioration, charges, director and ownership changes
- Legal and insolvency notices from official gazettes and registries
- Disruption alerts from site, logistics, weather and regional events affecting a supplier location
- Single-source and concentration exposure across your bill of materials
- Replacement difficulty estimate reflecting qualification, tooling and lead time
- Explicit visibility statement per supplier, so an opaque small supplier is not scored as though it were transparent
Endpoints
| Method | Path | Returns |
|---|---|---|
| POST | /v1/suppliers | Register a supplier with identifiers, sites and the parts they supply |
| GET | /v1/suppliers/{id}/risk | Current distress indicator with signals and visibility statement |
| GET | /v1/suppliers/{id}/performance | Lead time, fill rate and quality trend from your own data |
| GET | /v1/exposure/concentration | Single-source and concentration exposure across the BOM |
| GET | /v1/disruptions | Active events affecting monitored supplier locations |
| WS | /v1/stream | Push new signals and threshold breaches across the supplier base |
Request and response
illustrativeRequest
{
"supplier_id": "sup_westmoor",
"supplier": {
"name": "Westmoor Precision Ltd",
"registration": { "jurisdiction": "GB", "number": "08812204" },
"sites": [{ "country": "GB", "postcode": "ST4 2QX" }],
"parts_supplied": ["P-440-HSG", "P-118-BRK"],
"single_source": true
},
"include": ["financial", "performance", "disruption", "replacement_difficulty"]
}Response
{
"supplier_id": "sup_westmoor",
"assessed_at": "2026-10-21T05:00:00Z",
"visibility": {
"level": "limited",
"basis": "Abbreviated accounts, last filed 2025-03-31, 9 months after period end",
"note": "Financial signals for this supplier are late and shallow; operational signals carry more weight"
},
"distress_indicator": { "score": 67, "band": "watch", "change_90d": 19 },
"signals": [
{ "source": "registry", "type": "accounts_filed_late", "date": "2026-01-14",
"detail": "Filed 9 months after period end, 4 months later than prior year" },
{ "source": "registry", "type": "charge_registered", "date": "2026-08-02",
"detail": "Fixed and floating charge created" },
{ "source": "your_data", "type": "lead_time_drift", "date": "2026-09-30",
"detail": "Quoted lead time 6 to 11 weeks over two quarters" },
{ "source": "your_data", "type": "payment_terms_request", "date": "2026-10-04",
"detail": "Requested 30 day terms from 60" }
],
"performance": {
"fill_rate_90d": 0.88, "fill_rate_prior": 0.97,
"lead_time_weeks": 11, "lead_time_prior": 6,
"quality_ppm": 820, "quality_ppm_prior": 310
},
"replacement_difficulty": {
"estimate": "high",
"drivers": ["tooling_held_at_supplier", "part_qualified_single_source",
"estimated_requalification_weeks": 18]
},
"disruptions_active": [],
"recommendation": "Begin dual-source qualification for P-440-HSG"
}Where the data comes from
| Your purchase order and receipt history | Lead times, fill rates, partial shipments and quality returns — the earliest and most specific signals, and almost always unanalysed |
| Company registry filings | Accounts, charges, director and ownership changes from official registries; depth and timeliness vary enormously by jurisdiction |
| Official insolvency and legal gazettes | Published notices, which are authoritative but typically late in the sequence |
| Trade credit and payment behaviour data | Licensed where available; terms usually restrict redistribution and sometimes restrict the use case |
| News and regional event data | Site closures, industrial action, fires, flooding and port disruption affecting supplier locations |
| Your bill of materials and qualification records | Which parts come from where, and what replacing a supplier would actually involve |
The intelligence layer
The difference between a demo and a service is mostly in this section. These are the parts that keep the answer trustworthy once real traffic is hitting it.
- Distress modelling that weights your own operational signals ahead of financial filings, because lead-time drift and terms requests usually precede a late filing by months
- Jurisdiction-aware financial analysis, since a nine-month-late abbreviated filing means something different in a regime where that is normal than in one where it is not
- Explicit visibility scoring so an opaque supplier is reported as unknown rather than as low risk, which is the failure mode of every naive supplier score
- Signal dating and sequencing, because the order in which signals appear carries more information than their presence
- Site-level geolocation of suppliers so regional disruption events can be matched to actual facilities rather than to a registered office
- Replacement-difficulty estimation from qualification status, tooling ownership and historical requalification durations in your own records
- Calibration against your own supplier failures and near-misses, which is the only way to know whether the indicator would have helped
- Alert budgeting, since a supplier watchlist that flags forty suppliers a week is a watchlist nobody reads
What it changes for the business
Time to dual-source
Months of warning is what turns a supplier failure from a stopped line into a procurement project.
Concentration made visible
Single-source exposure across the BOM is usually worse than anyone believes until it is counted.
Own data finally used
Lead-time and fill-rate drift already sits in your ERP and is the strongest early signal there is.
Negotiation footing
A documented performance trend changes a supplier conversation from impression to evidence.
How it fits into your product
How it embeds
- Supplier registration from your existing ERP or procurement master data
- Alerts routed to the responsible buyer rather than to a shared mailbox nobody owns
- Risk and performance data surfaced inside your procurement tooling alongside the supplier record
- Concentration reporting for a procurement or risk committee, tier-weighted by spend and criticality
- Deployment inside your infrastructure where purchase and BOM data cannot leave
- Per-tenant scoping for procurement platforms serving many manufacturers
Included in every build
- Authentication, scoped API keys and per-customer rate limiting
- Input validation with predictable, documented error responses
- Versioned endpoints so your integration never breaks without notice
- Request and response logging for audit and dispute resolution
- Latency, error-rate and usage monitoring with alerting
- OpenAPI specification, sandbox environment and client examples
- Backups, failover design and a documented recovery procedure
- An agreed support arrangement once the service is live
How we would build it
about 12 weeksDiscovery and data review
Weeks 1–2
We agree the exact question the API answers, review the sources you already hold, check what has to be licensed, and write down the response contract your developers will code against.
Architecture and prototype
Weeks 3–4
You get a written architecture plus a working endpoint on real data — narrow, but genuinely callable — so integration can be tested against something concrete rather than a document.
Production build
Weeks 5–10
Pipelines, models, storage, authentication, rate limiting, logging, tests and documentation. Security and observability are part of this phase, not a later one.
Integration and handover
Weeks 11–12
We support your engineers through their integration, run load tests at your expected volume, and agree how the service is monitored and supported once it is live.
Commercial models
There is no fixed price list, because the cost is driven by data complexity, integration count, model requirements, request volume and the support level you need. Scope is agreed in writing before development starts.
Fixed-scope prototype
A defined slice of the service, built and priced as one piece of work. The usual first step when the business case needs proving internally.
Fixed-price build
An agreed scope against a written architecture, delivered for an agreed price. Best when the requirements are already clear.
Build then retainer
We build the service, then operate and improve it under a monthly agreement covering monitoring, updates and model maintenance.
White-label product
The service runs under your brand, your domain and your pricing, with MLPivot invisible to your customers.
Questions buyers ask
Can you predict when a supplier will fail?
No. We produce a distress indicator with dated signals, not a failure date. Companies deteriorate for years and recover, or fail in weeks after a single customer loss nobody outside could see. What this gives you is a ranked watchlist and the evidence behind each position, early enough to start a dual-source qualification. Anyone offering a failure probability with a confident date on a private manufacturing supplier is modelling something they cannot observe.
How well does this work for small private suppliers?
Badly on financial signals, and that is worth stating plainly because the small single-source toolmaker is often the supplier that matters most. Abbreviated accounts filed nine months late tell you very little. For those suppliers the indicator leans almost entirely on your own operational data — lead time, fill rate, quality, terms requests — and the visibility statement says so explicitly rather than letting a thin score look like a clean bill of health.
Is the financial data redistributable?
Registry filings and official gazette notices generally are. Commercial trade credit and payment behaviour data usually is not, and some providers restrict the use case as well as redistribution. If you are a platform intending to resell this to your own customers, that constrains the source set materially, and we settle it during discovery.
What about suppliers in jurisdictions with weak filing requirements?
Coverage is genuinely uneven and we would map it per supplier rather than claim a global capability. Some jurisdictions publish little, late, or only on payment. In those cases operational signals and regional event monitoring are what remains, and the visibility level records the limitation.
Will this tell us to stop buying from someone?
It will not make that call. The output is signals, a trend and a replacement-difficulty estimate. Deciding whether to dual-source, prepay, take tooling into your own possession or walk away involves commercial relationships and leverage that no external model sees, and those decisions belong with your procurement team.
Related blueprints
Industrial Parts Matching API
Cross-references equivalent components across manufacturers using part numbers, dimensions and technical specifications.
Third-Party Vendor Risk API
Externally observable security posture, incident history and exposure signals for the vendors in a company's supply chain.
Predictive Maintenance API
Failure probabilities, anomaly scores and maintenance recommendations for industrial equipment, served to your CMMS or plant software.
Want this built for your platform?
Tell us what your product does today and what you want another system to be able to ask it. We will come back with an approach, a scope and a price.