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Improving accuracy

Otnox's AI engine gets better as it learns more about your business. Here are concrete steps you can take to improve the accuracy of relevance scores and document analysis.

Update your CPV codes​

CPV codes are the single strongest signal for relevance scoring. Review your codes quarterly and adjust them as your business evolves.

Common mistakes:

  • Too few codes — you miss relevant tenders
  • Too many codes — scores become diluted and everything looks equally relevant
  • Only broad codes — you get generic matches instead of precise ones

Best practice: Use 5-15 codes that combine 2-3 broad parent codes with their most relevant child codes.

Write a detailed company description​

The AI performs semantic analysis on tender descriptions against your company description. A vague description like "we provide IT services" produces vague scores. A specific description like "we design and deploy municipal waste management software systems, specializing in route optimization and fleet tracking for local government" gives the AI much more to work with.

Mark tender outcomes​

When you track a tender through your project pipeline, mark its final status:

  • Won — you were awarded the contract
  • Lost — you bid but were not selected
  • No bid — you reviewed it but decided not to bid

This feedback loop teaches the model what you actually win versus what merely looks relevant on paper.

tip

Even marking tenders as "no bid" is valuable. It tells the AI that tenders with those characteristics are not as relevant as the score suggested, helping it recalibrate for future matches.

Review the 40-60 score range​

Periodically browse tenders in the 40-60 score range. If you find opportunities that should have scored higher, check whether your profile is missing a relevant CPV code or keyword. This middle band is where small profile changes have the biggest impact.

Consistent usage​

The more you use Otnox — searching, saving, scanning, tracking — the more data the AI has to personalize your experience. Consistency matters more than volume.