Know who you depend on. Know what could go wrong.
Your ERP knows what you bought. It doesn’t know which of those suppliers can stop your production line if they have a bad week. ProcuHelp sits above your ERP as the strategic procurement layer: single-source visibility, supplier qualification dossiers, performance scoring per delivery, and contract intelligence on the agreements that hold it all together.
If any of this sounds familiar, this page is for you.
A composite of patterns we hear from procurement, supply chain, and operations leaders at mid-market manufacturers. Not direct quotes from any single customer.
What disruption actually costs a manufacturer.
These are industry-wide statistics from public research. They’re directional indicators of the supplier risk landscape mid-market manufacturers operate in, not promises about your specific situation. We’ll show you the numbers for your supplier base on a demo call.
Industry data drawn from the McKinsey Global Supply Chain Leader Survey 2024, McKinsey Global Institute supply chain research, the Business Continuity Institute, and World Economic Forum reporting. Time-to-value estimate is based on typical ProcuHelp onboarding for portfolios of 100–500 active suppliers.
Your supplier base, ranked by what could go wrong
Every supplier carries a criticality flag (Critical, High, Medium, Low), an automatic risk score across five dimensions, and a documents dossier with expiry tracking. Spend rolls up from your ERP. The suppliers that need attention surface themselves.
Two things that actually happen in mid-market manufacturing.
Not edge cases. The kinds of supplier problems that show up in a normal quarter, and what each one looks like with and without the platform.
A critical supplier’s ISO 9001 certificate just expired.
Invoices from a critical supplier are silently creeping up.
Three jobs your team finally gets time for.
Each of these is a real workflow inside the product today, built on the actual data models, anomaly types, and review patterns you’d use on day one.
Map the supplier base, flag what can stop the line
Vendors sync from your ERP in week one. Each supplier carries a criticality flag (Critical / High / Medium / Low) and an automatic risk score across five dimensions: contract governance, contract currency, spend concentration, invoice accuracy, and billing consistency. Each score rolls up to a risk tier (healthy / attention / at-risk) and produces a list of improvement actions the relationship owner can work through. Most plants discover 8 to 25 Critical suppliers they didn’t have a documented review cadence for.
Performance scoring tied to actual delivery events
Vendor review templates are fully configurable. Procurement sets up the patterns that match how the plant actually operates: per-delivery checklists, annual strategic reviews, incident-driven reviews after a quality event, or onboarding reviews for new suppliers. Each template has weighted criteria and supports multi-participant scoring across procurement, quality, and operations. Scores roll up to the supplier record and feed renewal decisions. Recommendations (renew, renegotiate, replace, terminate, pause) are captured at the end of each review.
Multi-year supply agreements, read by AI, owned by humans
Upload existing supply agreements and the system extracts the structured terms: pricing lines, volume commitments, frequency, tolerance percentages, and escalation clauses. Each contract gets an AI risk level (low / medium / high) that surfaces the clauses worth flagging. Renewal reminders fire based on notice periods, not just end dates. When invoices arrive that don’t match the contract, the platform connects the variance back to the right line. Most plants catch four to eight escalation clauses or volume commitments in year one they hadn’t actively tracked.
See it on your supplier base
Book a 45-minute call. We’ll set up a tenant for your plant, walk through how the AVL and criticality flagging would look loaded with your suppliers, and answer specific questions from your procurement and quality teams.
