The structural mismatch between physical flows and financial flows is not industry-specific. It appears wherever a physical unit — a pallet, a tonne, an hour, a rented asset — moves through multiple parties and generates a billing event at each node. The three conditions below determine whether the diagnostic applies. When all three are present, the leakage is measurable from day one.
A physical unit moves through multiple parties. Each transfer generates a separate financial transaction. The chain is longer than two parties.
Physical receipt does not automatically trigger correct financial credit. Credit notes stay open, stock counts diverge from invoice counts, or the closing balance cannot be reconciled.
The same dispute, discrepancy or finding is processed by multiple employees simultaneously — without any of them knowing it. Measurable as FTE overload per disputed unit.
| NACE | Sector | Structural leakage trigger |
|---|---|---|
| E38 | Waste management & recyclingAfvalbeheer / Gestión de residuos / Abfallwirtschaft | Weight at intake ≠ weight at processing ≠ invoiced tonnage. Three parties, three measurement moments, structural divergence at €/tonne level. |
| N77 | Rental of moveable assetsVerhuur / Alquiler de bienes muebles / Vermietung beweglicher Güter | Circular pooling model: asset leaves, is used, returns — return does not automatically trigger correct credit. Every unmatched return is an open balance. Scaffolding, machinery, industrial tooling, medical equipment, pallet pooling. |
| M69–71 | Professional servicesAccountancy / Legal / Technical advisory | The hour is the physical unit. At mergers and integrations, structural hour loss occurs: hours double-booked, unbilled, or misattributed. GLO25’s Hidden Task Detector quantifies simultaneous handling per client file. On average 12–18% of billable hours disappears during integration phases. |
| G46.46 | Pharmaceutical distributionPharma wholesale / Hospital & pharmacy supply | Multi-party chain manufacturer → wholesaler → pharmacy / hospital with serialised unit tracking (FMD / EU 2016/161). Cold-chain breaks, expired-stock returns, batch recalls and controlled-substance ledgers each generate billing or credit events that systematically diverge from the physical movement. Reimbursement deductions from payors compound the gap. |
| C25 + C28 | Industrial manufacturing & machineryMittelstand / Maakindustrie / Manufactura industrial | Multi-tier supply chain (sub-supplier → tier-1 → OEM → end-user → service & parts) with a billing event at each transfer. Warranty and RMA reconciliation: a returned defective unit rarely matches automatically against the warranty credit, the supplier recovery and the field-service work order — the four ledgers diverge by 4–9% of net revenue. Supplier-rebate accruals are double-handled across procurement, finance and BU controllers. Project-margin vs ERP-margin gaps on long-cycle orders are visible from day one of the diagnostic. |
| H49.4 + H50 | Road & maritime freightLand & sea transport / Logística terrestre y marítima | Loaded weight, weighbridge weight and invoiced weight diverge structurally on land. At sea, demurrage, container return charges and discharge-vs-loading weight mismatches compound the same gap. On multi-leg routes the mismatch accumulates per link in the chain. |
| H52.1 + H53 | Warehousing, 3PL & express logisticsOpslag, distributie & koerier / Almacenamiento y mensajería | WMS stock count ≠ ERP invoice line. Same billing unit as asset pooling (unit × day). Acute at third-party logistics operators with multiple clients per site, and at courier networks where the physical scan stream ≠ invoice line on volume discounts, returns and B2B settlement — with duplicate claim handling on damage and loss. |
| G46 | Wholesale trade (non-pharma)Groothandel / Comercio mayorista / Großhandel | Return credit notes for rejected or damaged goods systematically unreconciled at multi-item partial returns. Credit note stays open; nobody owns it. |
| NACE | Sector | Adaptation required |
|---|---|---|
| F41–43 | Construction & infrastructure | Material flow per project vs progress billing. Variations and rejection are the leakage source. Project-level rather than transaction-level analysis. |
| C10–12 | Food & beverage processing | Weight loss in processing, shelf-life returns, by-product settlement. Leontief matrix applicable to raw material balance. |
| C20 | Chemical manufacturing | Batch-level billing, yield reconciliation, lot tracking. High per-flow complexity but methodologically direct. |
| C21 | Pharmaceutical manufacturing | Batch yield reconciliation, QP release, lot-level tracking and serialisation chain. High GMP and regulatory complexity, but the input-output matrix maps cleanly to bill-of-materials and yield variance — methodologically direct once the dossier structure is mirrored. |
| K65 + K66.2 | Insurance carriers & brokerage | Claims handling is the textbook reconciliation loop — physical loss event ≠ paid claim ≠ salvage recovery ≠ reinsurance recoverable, four parties with a billing event at each node. The same file is touched simultaneously by claims, underwriting, A/R, compliance and recoveries. Adaptation needed because the operating spine is Guidewire / Sapiens / Tia, not Baan — the Leontief matrix maps onto the claim-flow ledger rather than the BoM. |
| K64.91 + K64.92 | Specialty finance & leasing | Multi-party servicing chain: originator → servicer → SPV → investor → borrower. Reconciliation gaps between servicer reports and SPV ledgers cluster around fees, advances, recoveries and modifications — each generates a billing or accrual event that does not flow through cleanly. Hidden duplicate handling in collections, restructuring and waterfall accounting. Adaptation: SPV-level Leontief structure with separate residual / interest / fee strands. |
| G47 | Retail | Reverse logistics: physical return ≠ automatic credit. Scalable at chains with centralised returns processing. |
| D35 | Energy production & distribution | Meter reading vs consumption vs billing. Settlement lag in smart metering and grid balancing. High regulatory complexity. |
Every sector below carries a baseline EBITDA drawn from SEC section-level data, and the one pain point where the margin quietly hides. Food is worked out in full — as the example of how deep the diagnostic goes.
Baseline 4.5% EBITDA. Our model lifts that by +153 bps (p50) toward ~6.0%, with a ceiling of +202 bps.
Direct source4.5% EBITDA · SEC section-level baseline (NACE C10)
Derivation+153 bps (p50) → ~6.0% · ceiling +202 bps
The +202 bps ceiling is a model outcome (derivation · GLO25 model), not a guarantee.
more sectors in development
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