Supply Chain Analytics Pulse
Most Supply Chains Still Go Dark Below Tier 1
August 2026 | Supply Chain Analytics Pulse
A decade-old 6% statistic still gets recycled as current research. The real numbers are different, and the gap between what executives believe and what they can actually verify is the more useful numbers for a board conversation.
The claim that only 6% of companies have full end-to-end supply chain visibility traces back to the GEODIS Supply Chain Worldwide Survey, a poll of 623 companies conducted in 2017. Nearly a decade later, that same 6% figure is still being presented as fresh 2026 data across dozens of procurement and logistics roundups.
More recent, purpose-built surveys put genuine end-to-end visibility somewhere between 13% and 18%. QIMA’s 2026 Global Sourcing Survey found 18% of companies report full end-to-end visibility, an improvement on prior years, though the same survey found average supplier-network mapping sits at only 60%, meaning a large share of companies that have mapped their network still don’t have verified visibility into it. Achilles’ Global Supplier Risk and Sustainability Survey found only 6% of organizations have full visibility specifically into Tier 2 and Tier 3 suppliers, and EcoVadis’s Sustainable Procurement Barometer found only 12% can monitor more than half of their Tier 2 base at all.
The pattern holds regardless of who ran the survey or how “full visibility” was defined: visibility is high at Tier 1 and collapses sharply beyond it. McKinsey’s 2025 supply chain risk research found 95% of leaders report visibility into Tier 1 risk, while only 42% of the same group report visibility into Tier 2 or beyond. Executive confidence in overall visibility runs as high as 93% in some surveys, even as the same executives name Tier 2 and Tier 3 suppliers as their single biggest blind spot. That confidence-capability gap, not any single percentage, is the more useful number for a board conversation: dashboards built on Tier 1 completeness are routinely mistaken for full-chain visibility.
01 Why Technology Alone Hasn’t Closed the Gap
Five structural forces explain why more AI and more dashboards haven’t moved the needle much on their own.
Buyers hold contracts, and audit rights, with their Tier 1 suppliers. Almost none of that formal standing extends to Tier 2 or Tier 3. A visibility platform has nothing to connect to below the purchase order boundary, because the purchase order boundary is exactly where the enrolled, contracted relationship ends.
Tier 1 suppliers frequently treat their own upstream relationships as proprietary information and decline to disclose them, and in plenty of cases only have partial visibility into their own exposure further upstream anyway. Meanwhile a meaningful share of sub-tier suppliers, more than a third by some counts, have no plans to adopt any AI or digital reporting tools at all, leaving buyer-side systems with nothing compatible to connect to on the supplier’s side even where the will to share data exists.
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Roughly half of organizations attempting to unify visibility platforms across a fragmented IT landscape cite integration complexity and data quality as the primary blockers, and a majority say legacy systems continue to blunt the return on newer AI and visibility tools. Where sub-tier data does exist, it tends to be self-reported at onboarding and rarely refreshed, meaning the further a supplier sits from the direct contract, the older and less trustworthy its data typically is.
High executive confidence coexists with low actual capability because most organizations’ sense of “visibility” is really a sense of Tier 1 completeness. Nobody sets out to conflate the two; it happens because Tier 1 is where the contracts, the data feeds, and the dashboards all live.
And increasingly, it is a regulatory problem. The EU’s Corporate Sustainability Due Diligence Directive, the US Uyghur Forced Labor Prevention Act, and Scope 3 emissions disclosure rules now legally require sub-tier evidence, not just Tier 1 attestations.
02 Three Methods Actually Closing the Sub-Tier Gap
None of these approaches are new in concept, but each has moved from pilot to production use over the past two to three years in ways that don’t show up in a typical visibility software comparison article.
Trade-data network inference
Rather than waiting for a Tier 1 supplier to voluntarily disclose its own upstream relationships, this approach reconstructs the supplier network directly from customs and bill-of-lading records, information that governments already require at the border regardless of whether any individual company wants to share it. Platforms built on this model, S&P Global’s Panjiva being the largest, now index billions of shipment records and millions of companies across roughly twenty countries, and use network analysis to surface buyer-supplier relationships that would otherwise stay invisible. The method has a real limit worth naming: it shows trade flows and corporate relationships, not labor conditions or compliance status. It is a mapping layer, useful for finding out who is actually connected to whom, not a verification layer that confirms a supplier is behaving responsibly.
Forensic and isotopic origin verification
This addresses a different failure mode: paper trails that are technically complete but unreliable, whether through honest error, transshipment, blending, or deliberate falsification. The method analyzes naturally occurring chemical and isotopic variations in a raw material itself, shaped by the soil, water, and climate where it grew or was mined, and compares that chemical fingerprint against a reference database of known origins. Because the test examines the physical material rather than accompanying documents, it produces evidence that doesn’t depend on a supplier’s paperwork being honest. US Customs and Border Protection has explicitly recognized isotopic testing as admissible evidence for forced-labor compliance and began expanding its own in-house testing capability for exactly this reason.
Blockchain-based material passports
This method tackles the standardization and incentive problems directly, giving multiple parties in a value chain — miner, refiner, component maker, assembler — a shared, tamper-evident ledger to record material provenance, emissions, and recycled content as materials change hands. Rather than asking each sub-tier supplier to disclose data into a buyer’s proprietary system with no benefit to the supplier, a shared passport standard gives every participant in the consortium the same verified record, which is part of why these programs have found more sub-tier cooperation than bilateral disclosure requests typically do. The EU’s Digital Product Passport framework, starting with batteries, is effectively forcing this approach into a common data schema across the industry rather than leaving it to each company to build its own.
03 Case Studies
Two proof points and one cautionary tale — chosen because they span three different sub-tier verification methods and three different outcomes.
Tracing Critical Minerals From Rock to Car
Volvo Cars and UK-based traceability provider Circulor began working together in 2018 on a problem that sits at the center of the visibility gap: cobalt, nickel, lithium, and graphite pass through mining, refining, and component manufacturing steps that are almost never contractually connected to the automaker buying the finished battery. Six years later, in 2024, Volvo’s EX90 became the first commercially available vehicle to ship with a working digital battery passport, built on Circulor’s platform, tracing critical raw materials from extraction through to the finished battery pack.
The passport records three things that matter to a regulator and a customer differently: the origin and production journey of each critical raw material, the embedded carbon footprint of the full battery pack, and the percentage of recycled content used. The mechanism that made supplier participation possible was not a mandate from Volvo alone — it was membership in the Global Battery Alliance, a multi-party consortium that gave sub-tier suppliers a shared, reusable record instead of a one-off disclosure requirement unique to a single customer.
Under the EU Battery Regulation, digital battery passports become mandatory for EV and large industrial batteries from February 18, 2027, and due diligence obligations covering cobalt, lithium, nickel, and natural graphite apply from August 18, 2027.
6 yrs
145+
suppliers connected across the battery value chain
Feb / Aug ’27
EU passport & due diligence deadlines
ApparelForensic Origin Verification
When the Paper Trail and the Physical Material Disagree
Cone Denim, the denim manufacturer owned by Elevate Textiles, is one of the most established named users of Oritain’s forensic cotton verification, using the science to certify to its own retail customers that specific denim rolls were made from cotton grown in the countries claimed, and not from regions flagged under forced-labor rules. The value to Cone Denim’s customers is that the result is independent of any document Cone Denim itself could produce.
Drawn from five years of testing roughly 1,000 garments annually across 40 brands, the data found that while 94% of UK companies and 87% of US companies surveyed said they trace their cotton supply chains, 90% of the brands actually tested in 2025 returned at least one result consistent with prohibited cotton exposure, up sharply from 64% the year before. Oritain’s own leadership has described this as a widening “verification gap” between documentation and reality.
The broader lesson for any Tier 2/3 raw-material category, not just cotton, is that self-reported traceability and verified traceability are two different claims, and only one of them holds up when a regulator asks for evidence rather than a supplier’s word.
96%+
90%
of brands tested in 2025 returned a prohibited-origin result, up from 64%
94%/87%
of UK / US companies believe their cotton supply chain is traced
What the Blind Spot Costs When Customs Finds It First
Not every case is a success story, and that is the point of including one that isn’t. VSUN, a solar module brand acquired by Japanese manufacturer Toyo in September 2025, had modules detained by US Customs and Border Protection in early 2026 under the Uyghur Forced Labor Prevention Act. Industry analysts tied the detentions to solar cells most likely produced at VSUN’s Ethiopia facility, coinciding with a broader spike in CBP detentions of Ethiopian-origin solar cells and components in January and February 2026. Analyst estimates put the potential earnings impact at up to $30 million.
A company can have a fully compliant-looking Tier 1 relationship, while the actual forced-labor exposure sits two or three tiers upstream. Under UFLPA’s rebuttable presumption, the burden of proof sits with the importer, not the government, and CBP has been explicit that supplier self-declarations alone are increasingly insufficient.
$30M
1,580%
47%
of all UFLPA-detained shipments (Jun ’22–Dec ’24) ultimately denied entry
04 Organizational Readiness Check
Before committing further budget to visibility tools, it’s worth assessing where the organization actually sits across four dimensions, not just how much has already been spent.
| Dimension | Early Stage | Developing | Advanced |
|---|---|---|---|
| Contractual Reach Beyond Tier 1 | Contracts and audit rights exist only with Tier 1 suppliers; sub-tier suppliers are unknown or informally identified at best | Flow-down disclosure clauses exist for a subset of critical categories; Tier 2 identified for high-risk commodities only | Standard contracts include sub-tier disclosure and audit-cooperation clauses across all sourcing categories, not just flagged ones |
| Data Standardization | Supplier data collected via spreadsheets and email; no shared format across partners | Tier 1 data integrated via EDI or supplier portals; sub-tier data, where it exists, arrives in inconsistent formats | Shared data standards (Digital Product Passport schema, industry consortium formats) move data between buyer, supplier, and verification providers without manual translation |
| Verification Method | Visibility relies entirely on supplier self-attestation and periodic paper audits | Tier 1 audited directly; sub-tier claims spot-checked occasionally, usually reactive to a specific regulatory request | Independent verification, forensic testing, blockchain-recorded provenance, trade-data cross-checks, runs continuously as part of ongoing monitoring, not only after a shipment is detained |
| Regulatory Integration | Compliance handled reactively, one regulation at a time, usually after a detention, audit finding, or customer request | A dedicated function tracks one or two major regulations (commonly UFLPA alone); data isn't shared across other requirements | A single due diligence data model feeds CSDDD, UFLPA, Scope 3 disclosure, and Digital Product Passport requirements at once, avoiding duplicated collection for each one |
05 Key Implementation Steps: Choose Your Perspective
Click on the perspective you want to analyze – executives or analysts.
Executive View
Decide which categories actually need Tier 2+ visibility, and which don't.
✔ Rank sourcing categories by regulatory exposure (CSDDD, UFLPA, EU Battery Regulation, Scope 3), single-source concentration, and reputational risk. Not every commodity needs isotopic testing or a blockchain passport; reserve the highest-cost verification methods for the categories where a stockout, detention, or disclosure failure would actually be damaging.
Put the contractual mechanism in place before the technology.
✔ Amend Tier 1 contracts to require sub-tier disclosure and audit cooperation as a condition of doing business, not a voluntary request. Without that contractual leverage, a visibility platform has nothing to connect to below the purchase-order boundary, regardless of how capable the software is.
Fund independent verification alongside self-reported data, not instead of it.
✔ Self-attestation and paper audits remain necessary, but Oritain’s 2026 research shows a widening gap between what brands believe about their sourcing and what independent testing confirms. Build verification cost into the sourcing budget for high-risk commodities from the outset.
Sequence the roadmap to regulatory deadlines, not a generic visibility ambition.
✔ CSDDD, UFLPA, the EU Battery Regulation’s due diligence obligations (August 2027) and Digital Battery Passport requirement (February 2027), and Scope 3 disclosure rules each carry concrete dates. A roadmap built around named deadlines produces compliance evidence on the schedule regulators actually enforce.
Pilot in the category with the clearest existing exposure.
✔ Choose one commodity or supplier tier where regulatory or reputational risk is already visible, and prove the model there first. Volvo and Circulor took six years to move from pilot to a commercially available battery passport; set board expectations for sub-tier visibility programs in years, not quarters.
Analyst View
Treat trade-data inference as a way to fill gaps, not replace supplier disclosure.
✔ Bill-of-lading and customs data can reconstruct a supplier network even when a Tier 1 supplier declines to disclose its own upstream relationships. Cross-reference inferred networks against supplier-declared data to flag discrepancies; a mismatch is itself a risk signal worth investigating.
Build a tiered verification hierarchy instead of a single audit standard.
✔ Reserve forensic and isotopic testing for the highest-risk raw materials (cotton, critical minerals, timber), documentation review for moderate-risk categories, and standard audits for the rest. Applying the most expensive verification method uniformly isn’t affordable; applying the cheapest method uniformly is how a verification gap opens.
Track the age of every sub-tier data point, not just whether it exists.
✔ Sub-tier intelligence gathered at onboarding tends to go stale quickly, and industry research consistently points to onboarding data running well over a year old by the time it’s used in a live decision. Set a re-verification threshold by data type and risk category.
Score suppliers on disclosure willingness as its own risk category.
✔ A Tier 1 supplier that declines to share upstream relationship data is not a neutral data gap — it should carry its own risk weighting, separate from whatever compliance score the supplier otherwise holds. This reframes a “no data available” result into an actionable signal.
Design any traceability platform choice for interoperability, not lock-in.
✔ Battery passports, forensic testing providers, and trade-data platforms increasingly need to exchange data with each other, with customs authorities, and with the buyer’s own ERP. A single-vendor platform that can’t export to a common standard will need replacing the moment the next regulation lands.
06 Conclusion
The visibility gap below Tier 1 has stopped being a technology-availability problem, if it ever really was one. Every method described in this edition — trade-data inference, forensic verification, blockchain material passports — already exists and is already running in production at real companies today. What’s different about the organizations actually closing the gap is that they paired the technology with a contractual mechanism to reach past Tier 1, a verification method that doesn’t depend on a supplier’s paperwork being honest, and a roadmap sequenced to the regulatory dates that are now forcing the issue whether a company is ready or not.
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