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AI Prompts for Supplier Evaluation

Supplier evaluation goes wrong when the criteria are decided after the proposals arrive, when scores are impressions rather than evidence, and when the cheapest bid is quietly weighted higher than the model says. A disciplined evaluation fixes the criteria and weights first, requires evidence for every score, and separates the commercial comparison from the capability assessment so neither contaminates the other.

The prompts here build the model, apply it to candidates with an evidence table, and prepare the verification step — the site visit or due diligence that tests what the proposal claimed. They are for selecting new suppliers; ongoing performance of existing suppliers is a different exercise covered by the supplier scorecards page.

Before you use these

Have these ready to replace the highlighted [variables]:

The prompts

1. Build the weighted evaluation model

Best forAgreeing criteria, weights and scoring definitions before anyone looks at a proposal.
Inputs needed
  • Requirements
  • Priorities
  • Pass/fail requirements
How to use itDo this before receiving bids and get it signed off. Ask the model to write the scoring anchors — what a 1, 3 and 5 look like — for every criterion; that is what makes scores comparable across evaluators.
Expected outputCriteria tree with weights, pass/fail gates, scoring anchors per criterion and the evidence required for each.
Act as a procurement lead designing a supplier evaluation model for [category].

Requirements: [technical, quality, delivery, service, compliance]
Priorities and rough weighting: [e.g. quality and continuity over price]
Non-negotiables: [certifications, financial thresholds, geographic or legal constraints]
Evaluators: [roles]

1. Define pass/fail gates first: requirements a supplier must meet to be scored at all. Keep this list short and objective.
2. Build a criteria tree with 4–6 top-level dimensions (e.g. technical capability, quality system, delivery and capacity, commercial, financial stability, risk and compliance, sustainability). Break each into 2–4 sub-criteria.
3. Assign weights top-down (dimensions sum to 100%) and within each dimension. Justify each weight against the priorities and the cost of failure on that dimension.
4. For every sub-criterion write scoring anchors on a 1–5 scale: what evidence earns a 1, a 3 and a 5. Anchors must be observable, not adjectives.
5. Specify the evidence source for each sub-criterion (proposal section, reference check, audit, financial statements, sample test).
6. Define the scoring process: independent scoring, then calibration meeting, then consensus — and the rule for handling a spread of more than 2 points.

Check the model for a hidden price bias: if commercial weight plus any cost-related sub-criteria exceeds the stated priority, say so.

2. Score candidates with an evidence table

Best forA defensible comparison where every score points to something in the proposal or verification record.
Inputs needed
  • Evaluation model
  • Proposals or supplier information
  • Reference or audit findings
How to use itPaste one supplier at a time or all together. Require the evidence column to be filled — a score without evidence is a placeholder, and the model should mark it as such.
Expected outputScore table per supplier with evidence, weighted totals, sensitivity to weights and a shortlist recommendation with open questions.
You are scoring suppliers against an agreed evaluation model.

Model: [criteria, weights, scoring anchors]
Supplier information: [per supplier: proposal content, references, certifications, financials, audit notes]

For each supplier:
1. Check pass/fail gates. Stop and report if any fail.
2. Score each sub-criterion 1–5 using the anchors. For each score record the evidence (quote or reference the specific claim or document) and its quality: verified / claimed / absent. Where evidence is absent, score no higher than 2 and mark 'unverified'.
3. Compute weighted dimension scores and the total.

Then across suppliers:
- Ranking with totals and the gap between first and second.
- Sensitivity: does the ranking change if commercial weight moves ±10 points, or if all unverified scores are set to 1?
- The specific claims that most affect the ranking and must be verified before award.
- Shortlist recommendation and the questions to put to each shortlisted supplier.

Do not let a strong commercial offer lift capability scores. Do not infer capability from company size or brand.

3. Prepare the site visit and due diligence checklist

Best forVerifying the claims that decided the shortlist before awarding the contract.
Inputs needed
  • Shortlisted supplier claims
  • Highest-risk criteria
  • Visit duration and participants
How to use itGive the model the claims that mattered in scoring. The checklist should target those, not be a generic audit form.
Expected outputA prioritized checklist of what to see, ask and collect, mapped to the claims being tested, plus red flags.
Act as a supplier quality and risk assessor preparing a due diligence visit to [supplier] for [category].

Claims that influenced their score: [list with the criterion each supports]
Highest-cost failure modes for us: [e.g. late delivery in peak, quality escapes, capacity shortfall, financial failure]
Visit: [duration, our participants, their participants]

Build the checklist:
1. For each claim: what to observe on site, what to ask, what document or record to collect, and what would contradict the claim. Prioritize by the claim's weight in scoring and the cost of it being false.
2. Capacity and delivery: how to verify demonstrated capacity, current utilization, order book, and what share of their capacity we would represent.
3. Quality system: records to sample (nonconformance, corrective actions, calibration, training), and the difference between a certificate and a working system.
4. Financial and continuity: signals to look for (working capital stress, key-person dependence, sub-tier supplier concentration), and questions for the finance conversation.
5. Culture and transparency: how the supplier handles questions about problems — note evasiveness as a finding.
6. Red flags that should stop the award regardless of score.

Output as a checklist with owner per item and space for findings. Keep it to what fits in the visit time; mark items that can be done by document request instead.

What scoring anchors look like

The evaluation model only works if a 3 means the same thing to every evaluator. Two sub-criteria from a typical model, written the way the first prompt asks for them:

Sub-criterionScore 1Score 3Score 5
Quality systemNo certification; no documented corrective-action processISO 9001 certified; corrective-action records exist but closure is not trackedCertified; corrective actions closed on time with effectiveness checks, evidenced in the last 12 months of records
Capacity headroomWould need >90% of stated capacity to serve us; no expansion planServes us at 60–75% utilization; expansion plan stated but unfundedServes us below 60% utilization or has funded, dated expansion; capacity verified on site
Financial stabilityAdverse credit signals or refuses to share financialsAudited accounts available; leverage or liquidity marginalAudited accounts, solid liquidity, diversified customer base; no key-customer concentration above 30%
Anchors are observable evidence, not adjectives. If an evaluator cannot point to what produced the score, the score is a 2 at most and marked unverified.

Related prompts

Logical next step

After this, most operations teams move on to RFP and RFQ Drafting.

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