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GeM Supplier Risk Scorer

Score Government e-Marketplace suppliers on default risk, blacklist status, bid manipulation signals, and order-history concentration — using the GeM public APIs.

Frequency: weekly ~15 credits / run Mentor: rishi
Pro / Premium template

This template includes 3 automation steps, 2 inputs and 3 structured outputs. Upgrade to Pro to see the full playbook, save it to your profile, and configure it.

See Pro pricing

Estimate your monthly spend

See your credit usage and rough ₹ cost before you schedule anything. You only pay credits when a scheduled or manual run actually executes.

Credits / month
60
4 × 15 credits/run
₹ Range / month
₹60 – ₹90
₹1 – ₹1.5 per credit (current Pro tier)
Compare to ~21000/month of human analyst time saved (₹1,500/hr blended).

Why this matters

Vet GeM suppliers in seconds — financial, performance and governance risk in one score.

Who it helps
  • · PSU procurement leads
  • · Vendor management teams
Repetitive tasks it removes
  • · Manual checks against the GeM blacklist
  • · Pulling supplier order history each time
  • · Spotting bid-pattern manipulation manually
Roughly 14 hours saved every month
Benchmark — varies with org size, data volume, and existing tooling.

This is here to make your life easier — not replace you. The automation handles the repetitive heavy lifting so you can spend more time on judgement, stakeholder conversations, and the work only a human can do.

AI-generated output. Outputs from this workflow are produced by an LLM and must be reviewed by a qualified human before publication, regulatory submission, or financial decision-making.

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