Case Study

Reducing Manual Effort by 80% and Enabling 2× Scalability Through GenAI Conversational Assistant for Workspace Platform

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Industry 

Real Estate

Expertise 

Amazon VPC, Amazon EC2, Amazon Bedrock, Amazon SageMaker, Amazon DynamoDB, AWS IAM

Offerings/solutions 

An AI conversational assistant automating lead qualification, venue search, and CRM integration.

About the Client

Qdesq is a leading workspace solutions platform specializing in flexible workspace discovery and booking services across India. The platform provides seamless access to coworking spaces, dedicated desks, private cabins, and meeting rooms through technology-driven partnerships with premium workspace providers across major cities, leveraging advanced technologies like Generative AI to enhance customer experience.

Highlights

80%

Reduction in Manual Lead Qualification

2x

Traffic Scalability with High Availability

Optimized filtering

Sub-Second Venue Search Performance

The Challenge

Qdesq faced operational challenges due to manual lead generation processes causing delayed responses and inefficient requirement capture. High drop-off rates from incomplete data collection impacted conversions. The platform lacked intelligent natural language search and context-aware recommendations, while complex multi-parameter filtering required manual intervention, slowing the sales cycle.

Solutions

• AI-powered chatbot using Amazon Bedrock (Anthropic Claude 3.5 Sonnet v2) with FastAPI WebSocket backend for real-time conversations
• Strands Agent orchestration framework dynamically invokes specialized tools for multi-step reasoning
• AI-driven requirement extraction tool capturing city, workspace type, capacity, and budget parameters
• Index-based filtering engine delivering sub-second performance with top 8 relevant venue results
• Parallel venue retrieval tool using ThreadPoolExecutor for concurrent API calls
• Lead capture and visit scheduling tool validating user details and integrating with CRM and booking APIs
• Deployed on Amazon EC2 with Auto Scaling and Application Load Balancer in a secure VPC
• Amazon DynamoDB for session management with 30-minute TTL
• Amazon CloudWatch for monitoring and observability

The Results

Deployed an AI conversational assistant, reducing manual lead qualification by 80%, achieving sub-second search, 2× traffic scalability, and seamless CRM integration.

Download the Case Study

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