Hospitality Aggregator Seeks Automation for Booking Data Integration

• The customer is a large global hospitality service aggregator.

• Hotel booking information is received in multiple formats—PDF, Excel, CSV, plain text, and email messages.

• These data arrive through various channels such as email, file uploads, and direct submissions.

• The current method lacks standardization, making manual consolidation time-consuming and error-prone.

• The customer wants to automate the consolidation and aggregation of these bookings into a machine-readable format.

• This structured data would then be fed into their Hospitality Management System (HMS) for seamless operations.

Introduction

Customer is a large hospitality service aggregator spread globally

Challenges

•  Multiple integration connectors were developed that could manage data from mails, SFTP uploads and REST APIs
•  Machine Learning based OCR (Optical Character Recognition) and data extraction layer was built which could extract relevant data
• A reconciliation layer was built that could map & match data from various systems and turn them into a machine consumable JSON format

Solution

•  The solution was built from ground zero and turned into a production deployable code in a span of 12 weeks
•  Agile development model was chosen aligning with the sprint cycles the customer followed thereby making sure that timelines are consistent with what was agreed with the customer
• Machine Learning based model enabled capability to handle a variety of formats minimizing manual intervention after certain period

Key Benefits

•  Reduced time to market as the customer was able to readily understand and apply hotel availability information on their system
•  Minimized errors as manual touch points were removed (manual inputs in the form of typing)
• What was taking days for the availability information to be seen on their system now took only a few minutes and the information was available near real-time
•  Resulted in a cost saving of 38%