PharmaDB
Use case · Pricing & Cost Benchmarks · Customer-Mix Repricing v.04.2026 · refreshed weekly
Use cases Pricing & Cost Benchmarks Customer-Mix Repricing
Pricing & Cost Benchmarks Buyer view Molecule · ticagrelor Data · company buyer concentrationData · company trade exports Live

Customer-Mix Repricing

Surface exporters with dangerously concentrated buyer bases. The customer-mix vulnerability map for any competitor or partner in the trade graph.

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Example output · ticagrelor exporters · ranked by buyer concentration vulnerability
8,575 Highest buyer HHI in our ticagrelor competitive set · 2024 · indicates single-buyer dependency
n=20 suppliers above HHI 8,000 · trade warehouse Indicative

Of the four active ticagrelor exporters with declared trade in 2024, MSN Life Sciences holds the highest buyer HHI at 1,557 with top-buyer share of 38.9%. The structural read is moderate concentration with workable diversification. Across the broader warehouse, exporters like Niya Healthcare carry buyer HHI of 8,575 with 92.5% on the top buyer; one lost tender flips them into a pricing crisis. The brief surfaces both: in-portfolio competitive vulnerability, and the wider warehouse map of single-buyer-dependent exporters as entry-window candidates.

# ExporterCountryBuyer HHITop buyer shareExport value (24mo)
1 Niya Healthcare IN 8575 buyer HHI 92.5% top buyer NAI
2 AMN Life Science IN 8652 buyer HHI 92.9% top buyer NAI
3 Shreya Life Sciences IN 9211 buyer HHI 95.9% top buyer NAI
4 Chandra Bhagat Pharma IN 9802 buyer HHI 99.0% top buyer VAI
5 Graviti Pharms US 9614 buyer HHI 98.0% top buyer NAI
Highest buyer HHI
9,965
Suppliers above HHI 8,000
20+
Entry-window candidates
15
Top-buyer share threshold
90%
30 seconds

How it works

molecule losartan origin IN destination BR
01

Pick a molecule or supplier.

Type the molecule INN to surface its exporter base, or type a supplier name to surface their buyer concentration. Default window is the last full year.

0 HHI 0.42 1
computed · pre-joined · anonymised
02

The AI agent returns the vulnerability map.

Buyer HHI, distinct buyer count, and top-buyer share per supplier. Suppliers with HHI above 4,000 or top-buyer share above 70% are surfaced with a vulnerability chip.

brief · cited
Lane concentration · structurally concentrated
HHI0.42
Top-3 share71%
Actionqualify second source
03

Save the action brief.

Citation-anchored brief: the vulnerable suppliers, the dependency magnitude, and the recommended posture (entry window vs renegotiation signal vs leave-alone).

Why a commercial team runs it

The competitor vulnerability map.

Buyer HHI is the early signal.

Suppliers with concentrated buyer bases are one lost tender from a pricing crisis. The HHI surface flags the vulnerability before the lost-tender event hits the trade flow.

Entry window quantified.

When a single-buyer-dependent competitor loses the buyer, the lane opens. The brief flags candidates and surfaces the historical lane HHI so the user can size the entry opportunity.

Repricing trigger.

On contract renewal with a buyer who runs concentrated suppliers, the repricing leverage is asymmetric. The brief surfaces buyer-side dependencies so the user can negotiate accordingly.

Refreshes weekly.

Buyer concentration aggregates refresh weekly. The vulnerability map reruns on every refresh; the brief carries the exact computation timestamp.

What a real chat looks like

Type a molecule. The AI agent returns the vulnerable competitors.

A real chat thread in PharmaDB. Type a question, the AI agent runs the tools, the answer lands as a saveable note.

Customer-mix · ticagrelor exporter base
chat · saved 2 min ago
You
Surface ticagrelor exporters whose buyer HHI is above 1,500.
F
Running tool pharmagraph_query
company_buyer_concentration ⋈ company_trade_exports_by_molecule · ticagrelor · 2024
F
Twenty suppliers in the live warehouse carry buyer HHI above 8,000 in 2024. The most concentrated (Wintrack, Arochena Ingredients, both at 99.8% top-buyer share) are structurally one-lost-tender away from a pricing crisis. For ticagrelor specifically, the active exporter cohort is more diversified: MSN Life Sciences runs HHI 1,557 (38.9% top buyer), Dr Reddy's runs HHI 226 (7.9%). The competitive set is not concentration-vulnerable, which means the repricing lever needs to come from elsewhere (anchor pricing, premium positioning).
Vulnerable exporters · buyer HHI above 8,000 · cross-portfolio
1 Chandra Bhagat Pharma · IN buyer HHI 9,802 · 99.0% top buyer · 6 distinct
2 Shreya Life Sciences · IN buyer HHI 9,211 · 95.9% top buyer · 8 distinct
3 Niya Healthcare · IN buyer HHI 8,575 · 92.5% top buyer · 11 distinct
+17 more · open in PharmaDB
Cited company_buyer_concentration 20 vulnerable company_trade_exports_by_molecule ticagrelor 4 exporters global_companies resolved
Ask a follow-up... ⌘ ↵
Time-to-answer

Manual workflow vs. PharmaDB.

Manual workflow
Excel · email · syndicated reports
  1. 01 Pull trade declarations with buyer-side data 4-5 hr
  2. 02 Resolve buyer names to canonical entities 1-2 days
  3. 03 Compute buyer HHI per supplier 3-4 hr
  4. 04 Cross-reference top-buyer share 2 hr
  5. 05 Filter to vulnerability threshold 1-2 hr
Total cycle time 2-3 days per scan
PharmaDB
The AI agent · one query · cited
One query.
Pre-joined warehouse. Buyer-side resolution, HHI compute, and top-buyer share are co-resident at the supplier key. The AI agent returns the vulnerability map with citation.
Total cycle time Under a minute
Where buyer concentration sits

Most concentrated exporter customer bases.

Ten exporters · 2024 buyer HHI on the 0-10,000 scale · single-buyer dependency triggers a vulnerability chip.

Wintrack Incorporated deep
9965 buyer HHI
99.8% top buyer · 6 distinct
Arochena Ingredients deep
9961 buyer HHI
99.8% top buyer · 5 distinct
Chandra Bhagat Pharma deep
9802 buyer HHI
99.0% top buyer · 6 distinct
Chemeca Drugs deep
9753 buyer HHI
98.8% top buyer · 9 distinct
Graviti Pharms deep
9614 buyer HHI
98.0% top buyer · 5 distinct
Ananta Medicare deep
9302 buyer HHI
96.4% top buyer · 5 distinct
Rossari Biotech deep
9246 buyer HHI
96.1% top buyer · 8 distinct
Shreya Life Sciences deep
9211 buyer HHI
95.9% top buyer · 8 distinct
Aurorium India deep
9180 buyer HHI
95.8% top buyer · 10 distinct
PT Darya Varia Laboratoria deep
8945 buyer HHI
94.5% top buyer · 8 distinct
Thin · < 4000 suppliers · qualify additions Adequate · 4000–7999 Deep · 8000+ · negotiable

Customer-mix repricing is the competitor vulnerability lens. PharmaDB joins company_buyer_concentration to company_trade_exports_by_molecule, surfaces buyer HHI and top-buyer share, and tags entry-window candidates. Refresh cadence is weekly.

FAQ

Frequently asked

Why is buyer HHI the relevant signal?+

A supplier with one buyer at 90%+ share has no repricing power. When that buyer re-tenders, the supplier either accepts the new (usually lower) price or loses the volume. The HHI surfaces structural vulnerability before the lost-tender event.

What HHI threshold matters?+

Above 4,000 (on the 0-10,000 scale) signals meaningful concentration. Above 7,000 signals structural vulnerability. Above 9,000 means one buyer is effectively the entire business; one negative outcome flips the supplier.

How is this an entry window?+

When a concentration-vulnerable competitor loses their anchor buyer, the lane opens for another supplier. The brief flags candidates so the user's sales team can approach the buyer with a pricing proposal at the moment of vulnerability.

What about our own buyer concentration?+

Mirror analysis. The user uploads their own export list (optional) and the brief surfaces their internal HHI. Concentrated own-side means the user is the vulnerable supplier; pricing power is limited until customer diversification.

How are buyer identities handled?+

Aggregate counts and HHI are surfaced; named buyers are not exposed in the brief. The trade-data disclaimer threshold is respected at the query layer. The vulnerability signal is the dependency magnitude, not the named counterparty.

How fresh is the data?+

Buyer concentration aggregates refresh weekly. The vulnerability map reruns on every refresh; the catalog row carries the exact timestamp.

Run your question.

Bring the molecule, the lane, or the supplier you're sourcing this week. The AI agent runs it on PharmaDB in 30 minutes. You keep the brief.

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