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How HungryFriend Used AI to Reduce Customer Onboarding & Processing Times

Industry

Travel & Hospitality

Teams & Services

/Data Engineering /Cloud Architecture /DevOps

Tech & Tools

/AWS Lambda /AWS S3 /AWS EventBridge /AWS SQS /AWS Glue /Amazon Athena /AWS Transfer SFTP

Key Data Points

Streamlined data acquisition reducing merchant onboarding and processing times
AWS-powered architecture ensures scalability with data pipelines extending across multiple regions
Introduced cloud native solution using AWS best practices with a completely serverless architecture

The Vision

HungryFriend aims to unite passionate individuals and socially-conscious restaurants to support various causes, leveraging a robust data ecosystem for actionable insights and personalized recommendations.

The Goal

To seamlessly integrate data from standard providers, ensuring scalability and leveraging AWS resources to fuel their mission.

The Challenge

HungryFriend needed a streamlined data integration process to consume data efficiently from a standard provider while maintaining scalability and leveraging AWS capabilities.

The Solution

Protagona provided a comprehensive solution using AWS technologies. They set up an automated data transfer job via AWS EventBridge, used AWS Glue to generate a data catalog, and created a data processing pipeline with AWS Lambda and EventBridge. This setup ensured continuous data transfer, robust data queries, and effective data distribution across HungryFriend's platform.

OUTCOMES

"The experience and thought-leadership Protagona brought to the table was exceptional. The value provided by the entire team has been instrumental in the advancement of our product architecture and our ability to create new frameworks within the AWS ecosystem to allow us the ability to scale in new ways."

Michael Smallwood, CEO of HungryFriend

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