PharmaDB
Use case · Lane Concentration & Dual-Source · Lane Trader vs Manufacturer Split v.04.2026 · refreshed weekly
Use cases Lane Concentration & Dual-Source Lane Trader vs Manufacturer Split
Lane Concentration & Dual-Source Buyer view Molecule · ticagrelor Data · trade flowsData · company classification Live

Lane Trader vs Manufacturer Split

Quantify how much of a lane is shipped by traders versus direct manufacturers. High trader share is procurement margin leaking out of your supply.

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Example output · IN to TJ as a trader-dominated lane exemplar · 2024 declared customs split
67.5% · Trader share, India to Tajikistan lane, 2024
n=341 lane-years in 2024 (1,971 total observations) Authoritative

The India to Tajikistan lane runs at 67.5% trader share in 2024, holding steady from 68.5% in 2022. By contrast, the India to US lane is 1.2% trader / 98.8% manufacturer-direct. The lane geometry, not the molecule, is the dominant predictor of intermediation: 55 of 341 lane-years in 2024 sit above the 30% trader-heavy threshold.

IN → TJ trader share
67.5%
trader-dominated
IN → US trader share
1.2%
manufacturer-direct
IN → MV trader share
42.8%
mixed
Trader-heavy lanes (>30%)
55
of 341 in 2024
30 seconds

How it works

molecule losartan origin IN destination BR
01

Pick the lane or portfolio.

A single lane to investigate, or a portfolio to scan for trader-heavy candidates. Each lane returns trader share, manufacturer share, and total lane value.

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

The AI agent computes the split.

Each exporter on the lane is classified as a manufacturer (active DMF, known plant) or a trader (no plant attribution). Shares aggregate at the lane layer.

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

Save the negotiation brief.

Citation-anchored brief with the trader-heavy lanes ranked, the implied margin leakage, and a recommended direct-manufacturer outreach list.

Why a procurement lead runs it

Margin leakage, sized by lane.

Direct-manufacturer ratio surfaced.

The top regulated lanes (IN to US, IN to BR, IN to CA, IN to ZA) all run above 95% manufacturer-direct. Trader-heavy lanes elsewhere are where margin gets captured outside the supplier-buyer dyad.

Threshold-based candidate list.

Lanes above 30% trader share and $10M total value are flagged as direct-source candidates. Cuts the trader's mark-up by going direct.

Lane-by-lane recommendation.

Each trader-heavy lane carries a recommended direct manufacturer to engage. Surfaced from the active exporter list with plant attribution.

Compliance overlay.

Trader-dominated lanes often correlate with weaker regulatory oversight. The brief overlays compliance signals so the direct-source candidate carries a quality posture, not just a price posture.

What a real chat looks like

Type a lane. The AI agent returns the split.

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

Trader split · IN → TJ exemplar
chat · saved 2 min ago
You
Compute the trader-versus-manufacturer split on lanes carrying ticagrelor and the broader anticoagulant pool. Surface lanes where trader share is over 30%.
F
Running tool pharmagraph_query
lane_trader_shares ⋈ molecule_country_flow · trader-heavy lanes flagged
F
The trader-heavy lane scan flags 15 lanes above the 30% threshold in 2024. India to Tajikistan tops the list at 67.5% trader share on $16.9M of trade, an estimated $1-3M of margin captured by intermediaries that could flow to procurement directly. The top regulated lanes (IN to US at 1.2% trader, IN to BR at 0.5%, IN to ZA at 0.8%) run almost entirely manufacturer-direct, which is the standard pattern for high-regulation destinations. Ticagrelor lanes ride on these clean corridors with only minor trader presence; the lane-level trader watch is more material for adjacent class lanes routing through Central Asia and Cyprus offshore hubs.
Trader share
67.5%
Manufacturer share
32.5%
Lane value
$16.9M
Direct candidates
3 active
Cited lane_trader_shares 2024 molecule_country_flow lane value
Ask a follow-up... ⌘ ↵
Time-to-answer

Manual workflow vs. PharmaDB.

Manual workflow
Excel · email · syndicated reports
  1. 01 Pull exporter list per lane 4 hr
  2. 02 Classify each exporter (manufacturer vs trader) 1-2 days
  3. 03 Aggregate shares per lane 4 hr
  4. 04 Cross-check direct-manufacturer alternatives 1 day
  5. 05 Build the negotiation brief 4 hr
Total cycle time 3 days per portfolio scan
PharmaDB
The AI agent · one query · cited
One query.
Pre-joined warehouse. Exporter classification, lane aggregation, and direct-manufacturer recommendations are computed at the schema layer and refresh weekly. The AI agent returns the trader-heavy scan ready for procurement action.
Total cycle time Under a minute
Run across the destination universe

Lane trader share, by destination.

Twelve significant lanes ranked by 2024 trader share · scale is trader share as fraction of lane value · 0 to 1.

Trade hub · GB → CY
99.9% trader
1.00
Pharma route · IN → VU
97.3% trader
0.97
Adjacent · TR → TJ
91.8% trader
0.92
Trader-heavy · IN → SC
78.3% trader
0.78
Mixed · IN → KN
90.3% trader
0.90
Mixed · IN → TJ
67.5% trader
0.68
Mid · IN → CD
52.2% trader
0.52
Borderline · IN → AF
53.8% trader
0.54
Mid · IN → AO
46.7% trader
0.47
Clean · IN → US
1.2% trader
0.01
Clean · IN → BR
0.5% trader
0.01
Clean · IN → ZA
0.8% trader
0.01
Competitive Monitored Concentrated Near-monopoly

The trader-versus-manufacturer view is the margin-leakage signal. PharmaDB classifies every active exporter and aggregates trader and manufacturer shares per lane. Lanes above the trader-heavy threshold surface as direct-source negotiation candidates. The view is lane_trader_shares; the join is to molecule_country_flow for lane value.

FAQ

Frequently asked

How is an exporter classified as a trader?+

Exporters with no attributable manufacturing plant in the catalog are treated as traders. Manufacturers carry plant attribution (FDA DMF, EDQM CEP, CDSCO licence) linked through v_api_doc_plants. The classification is deterministic at the entity layer.

Why are regulated lanes so manufacturer-heavy?+

Top regulated destinations (US, EU, Brazil, South Africa) require an active regulatory dossier referencing the manufacturing site, which forces direct-manufacturer shipments. Traders cannot route product into these destinations without the same dossier. The pattern shows in the data.

Where do traders dominate?+

Lighter-regulation destinations (Cyprus offshore hubs, Central Asia, parts of Africa and the Caribbean) carry high trader share. The pattern is structural rather than evidence of malpractice; trader-heavy lanes serve markets without the regulatory infrastructure to require direct manufacturer dossiers.

What is the margin leakage estimate?+

Typical trader markups in pharmaceutical API routing sit in the 3 to 15% band, depending on lane length and destination market. The brief sizes the leakage band per lane based on lane value × estimated markup.

Does the direct-manufacturer recommendation account for capacity?+

Yes. The recommended direct alternatives are filtered to active exporters with recent shipment volume, an active regulatory dossier for the destination, and an inspection-clean plant. The shortlist is qualified, not just possible.

How fresh is the data?+

Trade aggregates refresh weekly. Trader vs manufacturer classification refreshes on entity catalog updates. The catalog row carries the last-computed timestamp surfaced on every result page.

Run your question.

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