Award

Ask AI about this notice

Summarise, research or assess it with AI

View Markdown

Share this notice

Send this contract to a colleague

Global Supply Chains Intelligence Programme- Auto Industry Domestic Supply Chain Data

Department for Business & Trade

This public procurement record has 3 releases in its history.

Award

21 Jul 2026 at 12:42

UK7 - Contract Details Notice
Award

17 Jun 2026 at 08:58

UK6 - Contract Award Notice
Award

17 Jun 2026 at 08:49

UK5 - Transparency Notice
Summary of the contracting process

The Department for Business & Trade procured auto industry domestic supply chain data and supporting analytical services for its Global Supply Chain Intelligence Programme. The work is intended to help the department understand relationships between companies in the UK automotive supply chain and provide intelligence for policy and operational decision-making. The requirement is primarily a data service, covering company-level information on automotive suppliers and analysis of domestic supply chain relationships. The buying organisation is a UK central government department based in London, and the subject matter concerns supply chains across the United Kingdom. The procurement was treated as a single service requirement and was considered suitable for small and medium-sized enterprises.

The procurement is complete and has been awarded through a direct award. The contract was awarded to Catena.AI Ltd on 17 June 2026 because it held specific internal domestic automotive supply chain data that the department required; the rationale also cites exclusive intellectual property rights and technical reasons associated with a single supplier. The award value was £220,000 excluding VAT, or £264,000 including VAT. The award period was 30 June 2026 to 29 June 2027. The contract was signed on 2 July 2026 and runs from 3 July 2026 to 1 July 2027, with a value of £220,000 excluding VAT, or £264,000 including VAT. The requirement was above the relevant threshold and covered by the Government Procurement Agreement.

This procurement indicates demand for specialist automotive supply chain intelligence rather than general market research or basic data processing. A credible competitor for a future requirement would need access to detailed, company-level information on UK automotive suppliers and their domestic commercial relationships, together with the capability to analyse and interpret that data. Relevant strengths would include a reliable proprietary or well-established data source, strong coverage of automotive manufacturers and suppliers, supply chain mapping, data validation, and analytical reporting for government policy and operational decisions. Suppliers should also be able to handle sensitive commercial information responsibly and explain complex supply chain findings clearly to public-sector decision-makers. The selected supplier was an SME, showing that this type of specialist capability can be delivered by a focused data and intelligence business.

How relevant is this notice?

Notice Information

Notice Title

Global Supply Chains Intelligence Programme- Auto Industry Domestic Supply Chain Data

Notice Description

The Department for Business and Trade will be awarding a contract for the provision of auto industry domestic supply chain data and supporting analysis support. This data will support the Global Supply Chain Intelligence Programme in further understanding domestic supply chain relationships in the UK

Procurement Information

The Supplier holds internal domestic supply chain data on a variety of auto industry suppliers which the department requires as part of its Global Supply Chain Intelligence Programme, enabling the delivery of robust intelligence to support policy and operational decision-making. No other supplier has been identified that holds this specific company level data.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-06b671
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/068679-2026
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
UK7 - Contract Details Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Direct
Procurement Method Details
Direct award
Tender Suitability
SME
Awardee Scale
Large, SME

Common Procurement Vocabulary (CPV)

CPV Divisions

72 - IT services: consulting, software development, Internet and support

CPV Codes

72300000 - Data services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
£220,000 £100K-£500K
Contracts Value
£220,000 £100K-£500K

Notice Dates

Publication Date
21 Jul 20261 months ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
17 Jun 20262 months ago
Contract Period
3 Jul 2026 - 1 Jul 2027 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Complete
Awards Status
Active
Contracts Status
Active

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
Department for Business & Trade
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
SW1A 2DY
Postcode Area
South West London
Country
England
Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI35 Westminster and City of London
Delivery Location
Not specified
Local Authority
Westminster
Electoral Ward
St James's
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
2
Supplier Names

Catena-AI Ltd

Catena.AI Ltd

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

JSON Markdown

The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts.

Loading OCDS record...