Supplier Intelligence Dashboard
One supplier holds 66% of your procurement spend - find out before the disruption, not after
The Problem
Your scorecard knows which suppliers are bad. Now find out how much you’re paying them.
The previous playbook ranked your suppliers by quality, delivery, and lead time. This one asks the follow-on question: how much spend is riding on each grade? A D-grade supplier at 2% of spend is a nuisance. A D-grade supplier at 11% of spend is a financial exposure. And a 66% share with any single vendor - even an A-grade one - is a concentration risk that doesn’t show up in any individual PO.
- Calculates spend share per supplier from 32 purchase orders across 6 months
- Overlays scorecard grade to produce risk-adjusted spend exposure
- Flags sole-source dependencies separately from concentration risk
- Computes HHI index to give a single concentration score comparable to industry benchmarks
The Data
Purchase orders + scorecard grades
5 suppliers, Jan-Jun 2026. Total spend Rs 45.4L. Source of per-vendor spend amounts.
A/B/C/D grades from the AI Procurement Assistant. Joined on supplier name to produce risk-weighted spend table.
Purohit, Sudarshan, Paschim, Amrit, Vishwakarma. One sole-source (tooling). One D-grade receiving active spend.
Herfindahl-Hirschman Index. Sum of squared spend shares. Highly concentrated above 2,500.
Results
Spend with risk overlay
Sort by spend to see concentration. Sort by grade to see who gets stopped next. Sort by risk exposure to see where spend meets failure. Click any row for the recommended action.
Total procurement spend
Rs 45.4L
6 months, 5 vendors, 32 POs
Top supplier share
66%
Purohit Steel — single point of failure
At-risk spend
Rs 10.7L
With C-grade or D-grade vendors
Sole-source dependency
1 vendor
Vishwakarma — no tooling alternative
Spend concentration — Jan to Jun 2026
At-risk spend = C-grade (Sudarshan Rs 5.66L) + D-grade (Paschim Rs 5.04L) = Rs 10.70L (23.6% of total procurement). Grade from AI Procurement Assistant scorecard. Click a row for recommendation. Data: 32 POs, Jan-Jun 2026.
Rs 5.04L spent with a D-grade vendor over 6 months. Paschim has 0% on-time delivery and a 40% rejection rate. Every rupee spent here carries maximum supply chain risk. Source SS304 and AL6061 from an alternative before the next procurement cycle.
66% spend with a single A-grade supplier is still a concentration risk. Purohit delivers reliably today, but a 6-week disruption - fire, labour dispute, logistics - stops 66% of raw material supply. Target 40% Purohit, 25% second vendor as the rebalancing goal.
Only 2% of spend, but the only qualified tooling vendor. A disruption here does not affect procurement budget - it stops the shop floor. Raise a risk register entry and begin qualification of a secondary tooling supplier for standard dies.
The Approach
3 analysis layers
- Group purchase orders by supplier, sum total spend for the period
- Calculate share as vendor_spend / total_spend - gives the concentration bar
- Purohit: Rs 30L / Rs 45.4L = 66%. Paschim: Rs 5.04L / Rs 45.4L = 11.1%
- Simple pandas groupby on supplier + sum of amount column
- Join spend share table with supplier scorecard grades from playbook 1
- Flag C-grade spend as "medium risk", D-grade spend as "high risk"
- At-risk spend = sum of C + D grade vendor spend = Rs 10.7L (23.6% of total)
- This single number answers: "how much money is riding on failing suppliers?"
- Herfindahl-Hirschman Index = sum of squared spend shares (as percentages)
- ForgeFlow: 66^2 + 12.5^2 + 11.1^2 + 8.4^2 + 2.0^2 = 4,710
- DOJ thresholds: <1,500 unconcentrated, 1,500-2,500 moderate, >2,500 highly concentrated
- One number that summarises the entire concentration problem for management reporting
Core Concepts
Key ideas in this playbook
- Two separate risk dimensions that must be tracked together
- Performance (scorecard grade) tells you how reliable a vendor is today
- Concentration (spend share) tells you how badly a failure would hurt
- Low share + poor grade = manageable nuisance. High share + poor grade = financial exposure
- Standard antitrust economics measure adapted for supply chain use
- Squaring the shares gives extra weight to dominant vendors - 66^2 is much larger than 33^2 + 33^2
- Range: 0 (infinite vendors, equal share) to 10,000 (single vendor, 100% share)
- Gives a single score usable in board-level risk reporting and supplier KPI dashboards
- Distinct from concentration: the issue is no alternative exists, not that share is too high
- A sole-source vendor at 2% share is still a hard stop if they fail
- Detection: identify vendors where no other supplier is qualified for the same material category
- Mitigation: qualify a second vendor for the category before a failure forces emergency sourcing
Architecture
Taking it to production
- Pull purchase orders for the last rolling 6 months from ERP
- Recompute spend share and HHI - flag if HHI exceeds 3,000
- Re-run scorecard from playbook 1 with latest GRN and quality data
- Join spend + grade to produce updated risk-adjusted table
- Any vendor exceeds 50% spend share: open supplier qualification task
- At-risk spend (C+D grade) exceeds 20% of total: procurement review meeting
- Sole-source vendor misses a delivery: escalate to operations director
- New vendor qualifies: recalculate HHI and update rebalancing target
Run the notebook
Builds the full spend concentration analysis from ForgeFlow purchase order data. Calculates spend share, risk-adjusted exposure, HHI index, and sole-source risk flags. Then joins with the procurement assistant scorecard to produce the complete supplier intelligence view. No API key required.
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Related services
Manufacturing Series
Manufacturing Series
Resources
This playbook
Tech stack
Builds on
AI Procurement Assistant