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Case Study

fayVen

Helping FayVen Scale Event Booking and Vendor Discovery Through AI-Powered Matchmaking

The Client

FayVen is a marketplace platform that connects venues, vendors, and event organizers through streamlined booking experiences, intelligent discovery tools, and scalable event management workflows.

As the platform expanded, FayVen sought to modernize how venue availability, vendor discovery, and booking coordination were managed across the ecosystem. To support this growth, FayVen engaged RevStar to implement AI-powered matchmaking and intelligent booking automation workflows designed to improve operational efficiency, increase venue utilization, and create more personalized marketplace experiences.

 

 

fayVen logo
Two businesswomen having an animated conversation in a brightly lit office environment.

Summary

TYPE OF PRODUCT

 Event Marketplace Platform 

BUSINESS VERTICAL

Events

TECH USED

AWS Bedrock, AWS Lambda, Amazon EventBridge, Stripe Integrations, Cloud-Native Booking Infrastructure

SERVICE
Full-service Development Team—

Solution Architecture, Delivery Management, AI/Data Engineering, DevOps Engineering, Quality Assurance

DESCRIPTION

RevStar implemented AI-powered booking automation and matchmaking workflows designed to improve venue utilization, streamline vendor discovery, and support scalable event coordination across FayVen’s marketplace platform.

RESULTS

Enabled more intelligent vendor discovery, streamlined booking coordination, and scalable AI-powered marketplace workflows designed to support long-term platform growth.

The Challenge

As FayVen’s marketplace ecosystem expanded, the platform required a more scalable and intelligent way to manage venue availability, vendor discovery, and event booking coordination across a growing network of users.

Managing venue availability and vendor bookings manually created operational inefficiencies, while limited automation made it difficult to quickly connect vendors with relevant event opportunities. At the same time, improving personalization and reducing friction across the booking experience became increasingly important as platform activity and marketplace complexity continued to grow.

FayVen needed a more connected and automated framework capable of improving booking workflows, increasing venue utilization, and delivering more relevant event-vendor recommendations at scale.

The Problem

FayVen needed a scalable and intelligent way to automate vendor matchmaking, streamline booking workflows, and improve event discovery across its marketplace platform.

The Solution

We modernized FayVen’s marketplace operations through a scalable AWS-native AI framework designed to automate vendor matchmaking, improve venue availability management, and streamline booking coordination workflows.

The solution introduced rolling availability management, AI-powered vendor recommendations, personalized event discovery, and automated booking workflows designed to reduce manual coordination and improve marketplace engagement across venues and vendors.

By integrating intelligent recommendation workflows, cloud-native orchestration, and scalable notification systems, FayVen established a stronger operational foundation for future marketplace growth, monetization opportunities, and AI-driven user experiences.

 

What We Built

To support scalable marketplace operations, we deployed AI-powered recommendation workflows using Amazon Bedrock, AWS Lambda, and Amazon EventBridge to automate event-vendor matching, personalized discovery, and booking coordination. The solution introduced intelligent availability management, automated notifications, recommendation delivery systems, and operational tracking workflows designed to improve marketplace engagement, booking efficiency, and long-term platform scalability.

 To support Nexus Healthcare’s simulation modernization goals, we deployed scalable orchestration infrastructure using AWS Bedrock, AWS HealthLake, Amazon S3, and containerized simulation environments. The solution introduced multi-agent workflow automation, integrated quality control gates, provenance tracking, and automated reporting capabilities designed to improve reproducibility, operational consistency, and long-term scalability across cardiovascular simulation workflows.

The Team

We have a growing cost-effective hybrid team, with onshore Product Managers and developers from our build center in Colombia. Operating three parallel teams for different products and support.
Two people collaborating at a whiteboard covered with sketches and sticky notes, planning a project layout.

Results

RevStar helped FayVen streamline venue booking workflows, improve vendor discovery, and automate marketplace coordination through scalable AI-powered matchmaking infrastructure. By implementing intelligent recommendation workflows and automated availability management, FayVen established a stronger foundation for long-term marketplace growth, increased engagement, and more personalized event experiences.

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