Product updates, engineering insights, and tutorials
Hotel content normalization turns inconsistent multi-supplier data into one clean catalog. Here's what it is, why it's hard, and how identity fits in.
Room mapping matches the same room type across suppliers so travelers compare like for like. Here's how it works, why it's hard, and what to look for.
Looking for a hotel mapping alternative? Compare an open, explainable approach with a confidence score on every match, and a free tier to benchmark first.
Duplicate hotels from multiple suppliers break search, pricing, and bookings. Here's how hotel deduplication works, and how to do it with confidence.
A hotel mapping API resolves every property to one unified ID across suppliers, with confidence scores. Here's how it works and what to look for.
mapping is live. Resolve any hotel to one unified ID across all your suppliers, with a confidence score on every match. Try the hotel mapping API, free.
Pro and above customers can now receive real-time webhooks when a reported mapping error is resolved, or when a duplicate hotel on one of their mappings gets closed. Signed, retried, and idempotent.
Pro Max workspaces can now create autonomous mapping agents that upload inventory, run mapping jobs, propose matches, and chase coverage on a goal you set. With 7-day undo, hard cost caps, and human-in-the-loop defaults.
How to use the hosted Mapping MCP server to give Claude Desktop, Cursor, and other AI agents direct access to hotel inventory uploads, mapping jobs, search, and reporting.
Why hotel property IDs differ across OTAs and GDSs, how to reconcile them, and how to build a reliable property matching pipeline for your travel application.
A frank comparison of commercial hotel property mapping solutions versus open-source alternatives, cost, accuracy, vendor dependency, and what to look for.
We're launching mapping.travel to solve one of travel technology's most persistent challenges: connecting hotel data across disparate systems with precision and speed.
Hotel mapping connects different hotel identifiers across travel systems. Learn why it's essential for OTAs, metasearch engines, and any platform aggregating hotel inventory.
Accurate hotel mapping directly impacts search quality, conversion rates, and user trust. Here's why every OTA should prioritize solving this problem.
Duplicate hotel listings frustrate users, reduce conversion rates, and waste ad spend. Here's why they happen and how to eliminate them.
Discover how accurate hotel mapping transforms messy search results into clean, reliable listings that increase user trust and conversion rates.
Duplicate hotel listings are a persistent problem for OTAs, metasearch engines, and booking platforms. Here's why they're so hard to eliminate and what to do about it.
Hotel data from different suppliers is messy and inconsistent. Learn why normalization is critical for building reliable travel applications and APIs.
Hotel content aggregation combines data from multiple sources into a unified view. Learn the challenges, strategies, and best practices for building content aggregation pipelines.
Learn the fundamentals of hotel content standardization: why it matters, what to standardize, and practical techniques for building clean, consistent hotel data.
Open source hotel mapping offers transparency, customization, and community-driven improvement. Here's why we built mapping.travel as an open-source platform and why it matters for travel technology.
Upload your hotel inventory as CSV files and let our AI match them against our standardized database. Process thousands of hotels in minutes with detailed match results.
A deep dive into our two-stage matching algorithm combining fuzzy string matching with semantic reranking using BGE-Reranker for optimal accuracy.
Learn how to interpret confidence scores and make informed decisions about your hotel matches. From HIGH to NO_MATCH, we explain what each level means.