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Contract Mining

Contract mining is the extraction of structured competitive intelligence from the text of published contract award notices, including bidder names, bid prices, evaluation scores, and rejection reasons, to inform future bid strategy.

Quick answer

Contract mining is the extraction of structured competitive intelligence from the text of published contract award notices, including bidder names, bid prices, evaluation scores, and rejection reasons, to inform future bid strategy.


Contract mining is the systematic extraction and structuring of competitive intelligence embedded in the narrative text and tabular data of published contract award notices, turning raw procurement announcements into actionable data on prices, competitors, and evaluation outcomes.

What is Contract Mining?

International procurement institutions are required to publish contract award notices, but the depth of information in those notices varies enormously. Some disclose only the winner's name and the contract value. Others, particularly on World Bank and EU TED platforms, embed rich data in the notice text: the number of bids received, the names and prices of all bidders, the technical scores assigned to each proposal, and the reasons for non-responsive or disqualified bids. Contract mining extracts this embedded information, parses it into structured fields, and loads it into a database where it can be aggregated and analysed.

The outputs feed directly into pricing-intelligence (what was the distribution of bid prices?), supplier-intelligence (which firms bid but did not win?), and award-data-analysis (what determined the outcome?). Contract mining is particularly valuable for understanding why bids were rejected, since rejection reasons often cite non-compliance with specific technical specifications or missing documentation, pointing to exactly the gaps a future bidder should close.

Why Contract Mining matters for bidders

Most suppliers read award notices to check who won. Contract mining extracts the information beneath the headline: the competitive intensity (how many firms bid?), the price spread (how close was the losing bid to the winning bid?), and the disqualification pattern (are non-responsive rejections clustered around specific eligibility or documentation requirements?). A supplier that systematically mines notices in its target sector for twelve months builds a competitive database that is qualitatively more valuable than any subscription alert service. The investment is principally in data collection and structuring; the analytical value compounds over time as the database grows.

FAQ

Do all international procurement notices include competitor bid prices?

No. Disclosure practice varies by institution and jurisdiction. The EU TED system and some World Bank notices are among the most transparent, sometimes listing all bidders and their prices. Many UN agency notices and Gulf SOE portals disclose only the winner. Mining notices from the most transparent sources first builds the most complete competitive picture.

Can contract mining be automated?

Yes, for notices published through structured APIs or in consistent HTML formats. The World Bank Finances One API and the UNGM awards API deliver notice data in structured formats that can be ingested directly. Scraping narrative text requires natural language processing to extract prices and bidder names reliably.

What should I do with rejection-reason data from mined notices?

Categorise rejections by type: non-responsive (failed an eligibility or documentation requirement), technically below the minimum score, or commercially non-competitive. If the same rejection type appears repeatedly in a sector, it signals a common compliance trap that your own submissions should explicitly address.

How Bidovate helps

Bidovate puts Contract Mining to work inside your capture and proposal workflow.

Extract intelligence from awards

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