Supplier selection
Rank a field of vendors on a weighted basis instead of on the strongest presentation.
— Procurement & Vendors
Vendor scorecard & rank
Scores vendor responses on quality, cost and risk, computes weighted totals, ranks the field and writes a recommendation with trade-offs stated.
- Procurement & Vendors
- Traceable reasoning
- Runs anywhere
3–4 days → ~15 minutes
For a full population, not a sample
No coding required
- Input
- The vendor responses in scope
- Output
- Scored and ranked vendors with weighted totals
- Runs in
- Skillsize · ChatGPT · Claude · Copilot
- Export
- SKILL.md · MCP
- Time saved
- ~3–4 days per run
— USE CASES
What people use Vendor scorecard & rank for
Panel and framework reviews
Re-score an existing supplier panel on the same criteria to see who still earns a place.
Defensible recommendations
Show the weighting and the trade-off behind the recommended vendor.
What it works from
- The vendor responses in scope
- Your criteria and weightings
- Any must-have thresholds
What you get back
- Scored and ranked vendors with weighted totals
- A written recommendation with trade-offs stated
- A derived scorecard you can re-run
— HOW IT BEHAVES
How Vendor scorecard & rank produces its result
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Every row of the supplier panel
Each row of your export is processed on the same basis, so no supplier is skipped however long the table is.
Composed as work product
Findings on the supplier panel are written up as a document that reads like professional output, with each claim tied back to a supplier.
Each supplier enriched in place
Derived columns are added row by row, keeping your source data and the judgement about each supplier side by side.
Why this is expensive by hand
Vendor selection usually comes down to whoever presented best. Supplier selection is the typical trigger — rank a field of vendors on a weighted basis instead of on the strongest presentation. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 3–4 days of manual work.
How this Skill produces it
Skillsize turns that work into a Skill: you supply the material, and what comes back is scored and ranked vendors with weighted totals, with a written recommendation with trade-offs stated. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. In effect, 3–4 days of senior time compresses into ~15 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.
Who it's for
- Procurement and category managers
- Third-party risk and vendor management teams
- Bid and proposal teams
- Consultants running sourcing exercises
Run it in Skillsize — or export it anywhere
Vendor scorecard & rank exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
ChatGPTClaudeCopilotAI Products (MCP)
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