Introduction:
Snapdeal is an Indian e-commerce company that offers a wide range of products, including electronics, fashion, and household goods. Founded in 2010, it has grown to become one of the largest online marketplaces in India, with a focus on providing a platform for small and medium-sized businesses to reach customers across the country.
Client
Snapdeal
Industry:
E-commerce
Offering:
GenAI
AWS Services: The Technology Behind the Transformation
The solution leveraged several AWS technologies to create a comprehensive communication ecosystem:
Amazon S3, Amazon Bedrock, Amazon DynamoDB, AWS Lambda, Amazon SQS, Amazon SNS
Business Need:
Snapdeal with a significant user base in semi-urban and rural India, faced inefficiencies in creating review summaries and translations due to manual processes. This approach was error-prone, time-intensive, and expensive, impacting operational efficiency and customer satisfaction. The company needed a scalable solution to reduce purchase decision time, enhance customer engagement, and deliver accurate, concise review summaries to drive better user experiences and optimize costs.
Implementation:
- Data Collection and Storage: Gather raw product review data and store it systematically.
- Data Chunking: Segment raw data into manageable chunks for efficient processing.
- Queuing System: Implement a queuing system to organize and manage product data flow.
- Data Processing: Extract keywords and sentiments from the product review data.
- Multilingual Summarization: Generate concise summaries of insights and translate them into ten languages.
- Regular Updates: Ensure stored summaries are regularly updated for accuracy and relevance.
Reaping Rewards:
- Scalable Processing: Customer was able to process 30,000 products and 1 million reviews in a single iteration, with each product processed in under a minute across all stages, including extraction, translation, and storage.
- Cost Reduction: Reduced operational costs by 35% by eliminating manual translation and validation activities for each product.
- Enhanced Accuracy: Achieved 87%-93% accuracy in keyword extraction and 90%-95% accuracy in sentiment extraction, ensuring high-quality data insights.
- Multilingual Efficiency: Delivered 80%-85% accuracy in summarization and translation for 9 Indian languages, improving the
accessibility and relevance of product information.
