TravelJoy aimed to streamline the extraction of structured travel data from unstructured PDFs and images, converting it into standardized JSON for downstream processing. Avahi, an AWS Premier Partner, designed and deployed an AI-powered ETL solution that leveraged cutting-edge models and scalable AWS services to automate this process. The result was faster document processing, improved data accuracy, and reduced manual intervention.
TravelJoy is a travel services platform focused on simplifying travel planning and coordination for customers. By handling a variety of travel-related documents, the business requires efficient methods to convert unstructured content into structured formats to support its downstream systems and services.
TravelJoy faced a significant operational challenge in processing a wide range of unstructured travel documents, such as confirmations, itineraries, and activity descriptions. These files arrived in PDF format or as images, and manual parsing was inefficient, error-prone, and not scalable.
Failure to solve this problem risked slower service delivery, increased operational overhead, and limited ability to provide real-time insights to customers. Without automation, scaling the business to meet customer growth would be constrained by human processing limitations.
TravelJoy selected AWS for its ability to support enterprise-grade AI workloads and scalable infrastructure. Key AWS services like Amazon Bedrock enabled integration with foundational models for parsing unstructured content, while AWS Lambda, Amazon S3, and Amazon API Gateway provided the backbone for a serverless, scalable pipeline.
The native AI and ML services on AWS allowed for rapid experimentation, seamless deployment, and low operational overhead, ensuring a flexible and future-proof platform.
Avahi’s proven experience in deploying GenAI workloads on AWS made it the ideal partner for TravelJoy’s initiative. As an AWS Premier Tier Services Partner, Avahi brought deep expertise in both AI model deployment and scalable cloud infrastructure.
Avahi also provided an end-to-end approach from model selection and data transformation to API integration and compliance validation. Their ability to accelerate AI adoption while ensuring enterprise-grade quality assurance aligned well with TravelJoy’s business goals.
Avahi’s agile execution model enabled delivery within a tight five-week window, including model training, pipeline integration, and stakeholder enablement.
Avahi implemented a robust ETL (Extract, Transform, Load) pipeline powered by AI to process unstructured travel documents. The pipeline consisted of three main stages:
– A custom parsing layer, built on top of Amazon Bedrock and integrated with AWS S3 for storage, handled entity recognition and metadata extraction.
– Custom logic parsed nested travel components such as flights, lodgings, activities, and cruises.
– Output was transformed into a standardized JSON structure based on TravelJoy’s specifications, preserving accuracy and completeness.
– API endpoints were exposed to deliver structured data for downstream use.
– A knowledge transfer session equipped TravelJoy’s team to manage and scale the solution internally.
– AI-powered PDF and image extraction engine
– JSON transformation pipeline
– Field validation and schema mapping
– API endpoints for data delivery
– Technical documentation and knowledge transfer
– Architecture using Amazon Bedrock, Lambda, S3, API Gateway, and SageMaker
The five-week engagement resulted in a production-ready pipeline capable of parsing and transforming unstructured travel documents with high accuracy. TravelJoy now has an efficient and scalable document ingestion solution that reduces manual processing time, enhances data quality, and accelerates business workflows.
– Standardized structured outputs from unstructured PDFs and images
– Time-to-process documents reduced from hours to seconds
– MVP delivered within five weeks, ready for production validation
– Modular architecture supports future LLM upgrades and use-case expansion
Client Name: TravelJoy
Client Business City Location: San Francisco, CA
Client Business Industry: Travel Technology
Services & Tech: Amazon Bedrock, AWS Lambda, Amazon S3, Amazon API Gateway, Amazon SageMaker
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