Business Impacts
80%
Duplicates Removed from 1.4 M Hotel Records
Multilingual
Solution with 4 Languages Deployed
Customer Key Facts
- Location : Asia
- Industry : Information Technology & Services
Problem Context
With the growing aggregators in the hotel industry, the duplication of hotel content across platforms is vast, leading to multiple issues by the hotels and travel agents. Qtech Software Private Ltd., a leading travel technology company, faced challenges, such as unmanaged inventory, unreliable and multilingual data that had become day-to-day issues for the different stakeholders.
Challenges
- Duplication of hotel information spread across 150+ countries and 20+ different content providers, leading to unmanaged inventory
- Lack of standardization in descriptive hotel content such as name, address, geolocation etc.
- Complexity in hotel ID mapping with disparate content sources
- Lack of a single reliable source of descriptive information
Technologies Used
Amazon EC2
Amazon S3
AWS Step Functions
Real-Time Hotel Mapping for Content Consistency Across the Travel Ecosystem
Solution
Quantiphi developed an end-to-end solution to help Qtech Software build the travel ecosystem with up-to-date hotel content. First, a unified master hotel database was created by eliminating the duplicate hotel records from the travel data, ensuring real-time hotel mapping along with operational efficiency. We leveraged translate API for multilingual data sources.
Combining a proximity string machine algorithm (Levenshtein distance) with geographic clustering helped us to build a tree-based classifier that determines the duplication of hotel records.
Results
- Increased Operational Efficiency
- De-duplication of hotel and travel data
- Multilingual solution
