Every OTA and bedbank knows the pain: a "Deluxe Double, sea view" on one supplier is "DBL-DLX-SV" on another and "Superior Twin" on a third. When mappings drift, the wrong room gets sold, refunds pile up and margins evaporate.
Where the errors come from
In our data, 62% of booking disputes trace back to a mapping problem rather than a pricing one. Manual mapping simply cannot keep up with the pace of rate-plan changes across hundreds of suppliers.
Automated mapping is not about replacing people — it is about giving them a queue of 20 exceptions instead of 20,000 rows.
What the model actually does
- Normalises room names, bed types and views across 14 languages
- Scores each candidate mapping and auto-approves above 0.92
- Routes the rest to a human review queue with a suggested match
Results after one quarter
For a mid-size bedbank the result was a 40% drop in post-booking modifications within the first quarter — with the mapping team reduced to reviewing exceptions only.
Getting started
Rate mapping is included in every TANA API and extranet plan. Book a demo and we will run your current mapping file through the model live.
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