Case Study

Automating ReCommerce Operations on WhatsApp to Achieve 50% Faster Order Placement and 3x Transaction Scalability for Budli

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Industry 

Computers and Electronics Manufacturing

Expertise 

Amazon Bedrock, AWS Lambda, Amazon S3, Amazon CloudFront, Amazon Cognito

Offerings/solutions 

Automated WhatsApp ReCommerce flows with instant quotes, faster settlements, and scalable transactions.

About the Client

Budli.in is India’s first instant online ReCommerce portal where users can sell used smartphones, tablets, laptops, and gadgets for cash and buy quality-checked refurbished devices. With instant price quotes, free pickup, and secure payments, Budli makes device trading faster and more convenient while reducing e-waste and supporting broader access to technology across India.

Highlights

50%

Faster order placement

35-40%

Reduction in operational costs

3x

Transaction scalability

The Challenge

Budli’s customer journeys were fragmented across WhatsApp and web channels, requiring significant manual effort for device evaluation, pricing, and settlements, leading to slow response times, inconsistent quotes, and high drop-off rates. With limited engineering resources, integrating product catalogs, pricing engines, and payment workflows into a unified experience was challenging, constraining growth and making it difficult to deliver consistent, frictionless customer experiences at scale.

Solutions

• Amazon Bedrock identifies user intent via WhatsApp, with AWS Lambda routing requests to the appropriate buy or sell workflow.
• AWS Lambda retrieves Shopify product details, enables selection, creates orders, and sends confirmations through WhatsApp.
• Device images and documents are stored in Amazon S3, with AWS Lambda performing valuations using Amazon RDS catalog and pricing logic.
• Sell workflows invoke the Backend Seller API for settlements using credentials secured in AWS Secrets Manager.
• AWS Lambda handles conversational intents, responding with templates or Amazon Bedrock-generated replies in the user’s language.
• All responses are delivered via Meta WhatsApp Manager with transaction data stored in Amazon DynamoDB and Amazon S3.
• Amazon CloudWatch monitors events and logs, with Amazon S3 retaining media for audit purposes.

The Results

Achieved 50% faster order placement, 40% cost reduction, 25% higher conversions, and 3× transaction scalability through automated WhatsApp buy/sell flows with instant quotes, faster settlements, and 99.9% platform availability.

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