9 October 2026International edition
Vol. I · No.
9 October 2026
AI in Fashion
DAILY
The daily briefing on AI in the fashion business
Where fashion meets artificial intelligence.
Supply Chain & Sustainability · Case Study

How Primark builds supply chain data: traceability, planning and AI claims

Primark has described a supplier traceability programme built on purchase-order data. It has not published AI in range planning, so this case separates data from AI.

a group of men in a factory
Photo: Arno Senoner / Unsplash

KEY TAKEAWAYS Summary by the editors

  1. According to a TrusTrace customer story, Primark has used the TrusTrace platform since 2022 to collect supply chain data, and has linked purchase orders to mapped suppliers, with 60 suppliers connected to purchase-order tracing at the time of publication.
  2. The same case study says Primark's traceability team grew from 1 to 13 people in three years, with staff in China, India and Bangladesh working with suppliers daily.
  3. Primark replaced spreadsheets because they did not scale across regions and forced suppliers to provide the same data more than once, which illustrates why structured supplier data precedes any advanced analytics.
  4. The case study names regulations including the U.S. UFLPA, the German Supply Chain Act and the EU ESPR and Digital Product Passport as drivers, and says Primark aims to use the data for supply chain optimisation, production allocation and risk identification.
  5. No source reviewed describes AI in Primark's range planning, so claims of AI-driven assortment or allocation at Primark are unverified.

Primark has documented a supply chain data programme, supplier traceability linked to purchase orders, but the sources reviewed do not describe AI in its range planning. The best-evidenced story is therefore about data foundations: how a very large value retailer collects structured supplier information, why it moved off spreadsheets, and what it hopes to do with the data next. The source is a vendor-published customer story, which should be read with that in mind.

What has Primark published about supply chain data?

A TrusTrace customer story describes Primark as an Ireland-headquartered subsidiary of Associated British Foods with about 70,000 employees and global sales of roughly 9.5 billion pounds in 2024. Primark has used the TrusTrace platform since 2022. The programme is meant to meet regulatory data requirements and Primark's public environmental and social commitments, with sustainability targets set for 2030.

Data is collected mainly through tier one suppliers, who gather information from tiers two and three. Outside nominated supply chains, Primark collects it directly. Suppliers were onboarded in phases, starting with cotton and expanding to other fibres. The case study gives end of 2025 as the target for onboarding the full clothing and textile supplier base.

How does purchase-order tracing work?

Primark is linking purchase orders to mapped suppliers, so that material and production flows become visible once an order is confirmed. The aim is to move all suppliers to live tracing. At the time of the story, 60 suppliers were connected to purchase-order tracing.

Linking tracing to the order is a practical design choice. An order already carries the product, quantity, factory and delivery date, so attaching supplier and material data to it avoids a separate reporting process. It also makes the data usable by planning and sourcing teams, not only by compliance.

Primark's supply chain data programme as described by TrusTrace
ElementDescription
StartTrusTrace in use since 2022
TeamTraceability team grew from 1 to 13 people in three years; staff in China, India and Bangladesh
MethodSpreadsheets replaced; suppliers onboarded in phases, starting with cotton
Data modelPurchase orders linked to mapped suppliers; live tracing as the goal
Regulatory driversUFLPA, German Supply Chain Act, ESPR and Digital Product Passport, across 16 to 17 markets
Stated usesCompliance, supply chain optimisation, production allocation, risk identification
white wooden photo frame on brown wooden table
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Why did Primark move away from spreadsheets?

The case study says spreadsheets did not scale across regions and forced suppliers in several countries to supply the same data twice. This pattern recurs across the industry. Data collected in free-form files cannot be validated automatically, matched to orders or reused, which limits what planning or AI tools can do with it.

The BlueCherry and CGS survey summarised by Supply Chain 247 points to the same pressure: 85 percent of more than 300 surveyed fashion leaders said visibility remains one of their biggest supply chain problems. The survey does not mention Primark and describes the sector.

Does Primark use AI in range planning?

The sources reviewed do not say so. The TrusTrace story states an aim to use the data for optimisation, allocation and risk identification, which are tasks where analytics or machine learning can be applied, but it does not claim that AI is doing so. Other Primark facts in the sources are commercial: it introduced an online service in November 2022 and a mobile app in August 2025, according to Wikipedia, which also does not describe planning technology.

For a retailer of Primark's scale, buying and allocation are central. Whether planning is supported by statistical or machine learning models is not documented in public sources reviewed, and this article does not infer it.

What can other retailers and brands learn?

  • Treat traceability data as a planning asset. Orders linked to supplier data can serve sourcing and risk teams as well as compliance.
  • Phase the rollout. Starting with one material, cotton, kept the first wave manageable.
  • Invest in people on the ground. Staff in sourcing countries worked with suppliers daily.
  • Be careful with AI claims. Data collection is a necessary step but is not evidence of AI use.

How could traceability data support planning and sourcing?

Once purchase orders carry supplier and material information, several uses become possible without AI. Sourcing teams can see where an order is made and which materials it contains. Risk teams can check supplier locations against regulatory lists. Planners can compare the planned and actual progress of an order, and allocate production with a clearer view of supplier capacity.

Machine learning could later be added to this data, for example to estimate which orders are likely to run late. That would need enough history, consistent status events and a measure of lateness. The case study states the intention to use the data for optimisation, allocation and risk identification but does not claim these uses are live.

From traceability data to planning uses
Data layerPossible usePrerequisite
Supplier mappingRegulatory checks and risk screeningComplete, validated supplier lists
Purchase order linkageOrder-level visibility of materials and factoriesCommon order identifiers
Status eventsLateness alerts and capacity viewsTimely supplier updates
History over several seasonsStatistical or machine learning modelsStable definitions over time
blue button up shirt on white table
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What are the limits of supplier-reported data?

Traceability data is largely reported by suppliers, and the case study says it flows from tier one suppliers to deeper tiers. Reported data can be incomplete, delayed or wrong, and regulators in several markets expect evidence, not just declarations. Programmes therefore tend to add verification steps such as document checks and audits. These add cost, but they also determine whether later analytics can be trusted.

Primark's case also shows the cost side of data work. The traceability team grew from 1 to 13 people, suppliers had to be onboarded in waves, and the programme took years rather than months. Companies assessing AI projects should budget for this kind of enabling work, which is often larger and more continuous than the analytics layer built on top.

Frequently asked questions

Does Primark use AI?

No source reviewed describes AI in Primark's range planning or supply chain. A vendor case study describes a traceability data programme and says the data is intended for optimisation, allocation and risk identification.

How does Primark track its suppliers?

According to a TrusTrace customer story, Primark uses a platform to collect supplier data since 2022 and is linking purchase orders to mapped suppliers, aiming for live tracing. At publication, 60 suppliers were connected to purchase-order tracing.

Which regulations drive Primark's data work?

The case study cites the U.S. UFLPA, the German Supply Chain Act, and the EU Ecodesign for Sustainable Products Regulation and Digital Product Passport, across 16 to 17 markets.

When did Primark start online shopping?

Wikipedia states Primark introduced an online shopping service in November 2022 and launched a mobile app in August 2025. These details come from a general reference and are not specific to planning.

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