Organisation Benchmarks
The benchmark layer for organisation-level business cases (trader, logistics provider, bank, cargo-terminal operator). Where the per-country Evidence tables size national pools top-down, this page sizes a firm’s benefits bottom-up from its own activity — estimated from the firm’s actual counts where available, else from its size band × sector ratios.
Status is marked per row: researched (sourced — see
research/org-benchmarks/) or assumption (a defended placeholder, to be firmed
by the next research pass; use with a sensitivity range). Conservatism applies:
default to the lower end.
Organisation-size bands
Segmented by revenue (the most universally available signal); refine with trade volume / TEU / total assets when present.
| Band | Revenue | Invoices/yr (indicative) | Shipments/yr (indicative) |
|---|---|---|---|
| SME | < $50M | ~1,000–10,000 | ~50–2,000 |
| Mid-market | $50M–$1B | ~10,000–100,000 | ~2,000–50,000 |
| Enterprise | > $1B | >100,000 | >50,000 |
*Invoice bands anchored on AP benchmarks (≈6,000/yr at ≤500/month; large firms
265,000/yr) — researched. Shipment bands — assumption.*
Benefit-mix segmentation: volume × finance-gap exposure
The dominant levers differ by firm, so the model carries two orthogonal axes — not one size band. Applying a flat lever mix over-claims finance for large firms and under-claims it for small ones.
- Trade volume (≈ the size band) drives the cost-of-trade, clearance & document benefits (①/⑥/⑦-enabled). These scale with shipment / document count, so they grow in absolute terms with size — the large-firm lever.
- Finance-gap exposure drives the trade-finance benefit (④). It is a level shift for constrained firms and near-zero for well-banked ones — concentrated, not size-proportional.
Finance-gap exposure = firm credit standing × country banking depth × trade profile (not size alone):
| Exposure | Typical profile | ④ weighting |
|---|---|---|
| High | SME / unrated / thin credit history; developing or thin-banking market; first-time or occasional exporter; can’t access finance or pays a premium | full gap benefit — bankability + rate level-shift |
| Medium | mid-market with partial banking relationships; emerging market, moderate banking depth; periodic finance needs | partial — better terms + some new access |
| Low | large, investment-grade, trusted established relationships; deep banking market; already near best terms | marginal — a few bps only; finance line largely collapses |
Set exposure from size band + country income (use the Trade Data row) + any stated credit/banking signal. A large firm in a thin-banking developing market is still High; a well-banked mid-market firm in a deep market is Low. Do not read exposure off size alone.
Driver: counts (bottom-up) or estimate from size (top-down)
| Translation | Ratio | Value | Status |
|---|---|---|---|
| revenue → invoices/yr | invoices per $1M revenue | use size band above | researched (bands) |
| trade volume → shipments | ÷ avg shipment value | ~$50k–$250k / shipment (sector) | assumption |
| shipment → documents | core docs per shipment | ~5 (invoice, BoL, packing list, CoO, instructions) | researched |
| — (whole transaction) | docs / copies / parties | ~36 docs / 240 copies / up to 30 parties | researched (ecosystem total — do not attribute to one org) |
| bank book → applications | ÷ avg trade-finance ticket | (target — not yet sourced) | target |
| clients → KYC reviews/yr | review cycle | 1–3 yr | assumption |
Per-document economics (with the AI-era calibration)
| Item | Value | Status |
|---|---|---|
| Paper invoice/doc processing cost | $15–40 | researched |
| Digital processing cost | $1–10 | researched |
| Gross delta | $14–30 | derived |
| UNVTD-attributable saving per doc | $2–8 | assumption |
Calibration. The gross delta assumes manual re-keying. Modern AI/OCR accounting already automates most keystrokes, so the UNVTD-attributable saving is not the full delta — it is the verifiability premium (authenticity, no fraud, no disputes/exceptions/reconciliation breaks), which AI cannot provide. Lead with verifiability; default to the lower end.
Compliance, dispute & audit cost (⑦, organisation)
For an organisation, ⑦ is the cost of proving compliance and resolving documentary failures — distinct from the bank’s per-client KYC (above). Verifiable documents remove the root cause (unverifiable paper), cutting discrepancy rework, disputes, fraud exposure, and the effort of assembling audit evidence.
| Component | Driver | Anchor | Status |
|---|---|---|---|
| Documentary discrepancies | presentations × first-pass rejection × rework cost | ~50–70% of first LC/doc presentations rejected for discrepancies (ICC) | researched (rejection rate) |
| Disputes & exceptions | shipments × dispute rate × resolution cost | — | assumption |
| Audit / compliance evidence effort | compliance staff, or % of revenue | — | assumption |
| Trader ⑦ compliance pool (rollup) | % of revenue | ~0.1–0.3% of revenue | assumption |
Calibration. Size the pool on the documentary/authenticity portion only — verifiable documents do not remove physical-inspection, policy, or sanctioned-party work. Apply the standard
pool × addressable × share × adoption. The high LC first-pass rejection rate is the one hard anchor; the rollup % is a defended placeholder pending the org-benchmark research pass. Default to the lower end (0.1%).
Incentive parameters (value transferred to adopters)
The adoption engine — sizing the incentives gaining parties offer. The clearance-value parameters are now researched (WCO Time Release Studies; Container xChange; Hummels-Schaur); deferred-duty terms and the finance bps pass-through remain assumption pending the gated finance sources. Use ranges.
| Incentive | Parameter | Value | Status |
|---|---|---|---|
| Deferred duty (customs) | deferral period | 30–60 days | assumption |
| cost of capital | 5–10%/yr | researched | |
| Expedited / pre-arrival clearance (customs) | dwell-days saved (pre-arrival + risk-based + AEO) | 1–5 days (−30% to −55% of release) | researched |
| holding / demurrage cost (after 3–5 free days) | $75–300 / container / day | researched | |
| inventory-in-transit cost of capital | 5–10%/yr on cargo value | researched | |
| Cheaper trade finance (banks) | rate reduction passed through | 25–100 bps | assumption |
Baselines: import dwell ~9 days (≈5 efficient → 15+ developing); AEO / trusted-trader
cuts release −28% to −63% (WCO/APEC). Cross-check on the per-day value of time:
each day in transit ≈ 0.6–2.1% of cargo value (Hummels & Schaur, AER 2013) — the
upper end for time-sensitive / value-chain goods. Full sourcing:
research/org-benchmarks/clearance-economics-findings.md.
Sizing: deferred duty = duty × deferral ÷ 365 × cost of capital; expedited
clearance = shipments × dwell-days saved × (holding/demurrage cost **+ cargo value × cost of capital ÷ 365**); cheaper finance = financing volume × rate reduction.
Two refinements that decide which firm gains most (the segmentation axes):
- Clearance value scales with volume — it is
per-shipment × shipment count, and for high-value cargo the inventory-in-transit term dwarfs demurrage. This is the large-firm lever, realised whether or not customs formalises it as an incentive. - Cheaper finance is gated by finance-gap exposure — apply the full reduction for High exposure, a partial one for Medium, and only marginal bps for Low (large, well-banked firms already price near the floor).
Counted once (adopter receives; the gainer nets it off; the system counts the value at creation) — see methodology.
Organisation adoption cost (by band)
All assumption pending vendor/onboarding research.
| Band | One-time integration / onboarding | Recurring (subscription uplift) |
|---|---|---|
| SME | ~$1k–10k | ~$0.5k–5k/yr |
| Mid-market | ~$10k–50k | ~$5k–25k/yr |
| Enterprise | ~$50k–500k | ~$25k–150k/yr |
The platform build is borne by the software vendor and recovered via subscription, so the organisation sees a marginal subscription line — no per-entity identity fee (identity comes from the national register).
How this feeds the business cases
Drives the organisation personas. The calculation method (which categories per
persona, the formulae, the calibration, the incentive count-once rule) is on the
Assessment Methodology → Organisation-level
benefits. The model + the remaining research gaps are scoped in
research/methodology/org-level-benefits-scoping.md.
Sources
Documents per shipment & invoices-per-revenue: see research/org-benchmarks/
(Shipping Solutions / trade.gov; UNCTAD/WEF/ICC trade-digitalisation figures; APQC /
AP benchmarking; OECD digitalisation). Per-document cost: research/national-productivity/.
KYC cost: research/business-identity/. LC/documentary first-pass rejection rate
(~70%): ICC / UCP 600 revision surveys (research/compliance-assurance/). Clearance
lever (dwell, demurrage, transit, inventory-in-transit, per-day value of time): WCO
Time Release Studies, World Bank Doing Business / LPI, UNCTAD, OECD TFI, APEC AEO-MRA
study, Container xChange, Hummels-Schaur (AER 2013), Djankov et al. (RESTAT 2010) —
see research/org-benchmarks/clearance-economics-findings.md. Finance-gap totals
(ADB $2.5T; IFC MSME $5.7T) and AP cost-per-invoice ($10.89 avg / $2.78 best-in-class,
Ardent 2025) are sourced. Remaining assumption items needing gated sources — the
SME-vs-corporate finance spread (ICC Trade Register) and invoices-per-FTE (APQC) — are
listed in research/org-benchmarks/download-shortlist.md.