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IT Services and IT Consulting
Amazon S3, AWS Lambda, Amazon Bedrock, Amazon Translate, Amazon Comprehend
AI-driven multilingual chatbot enhanced efficiency, insights, and reduced costs.
The client is India’s most trusted B2B brand, jointly promoted by SAIL and Tata Steel. It transacts over $125 billion annually, leading India’s largest e-auction platform and transforming the steel and coal supply chain.
Reduction in Response Times
Automation of Inquiries
Increased user engagement
The client faced challenges in procurement and transaction management due to manual data handling, leading to inefficiencies and delays. To improve efficiency and user experience, they wanted to integrate a multilingual AI-driven chatbot for real-time assistance in Hindi, Bengali, and English.
• Data from Amazon S3 and RDS is synced, preprocessed for language detection, and translated for multilingual support.
• Vectors are generated using Amazon Bedrock and stored in OpenSearch for fast retrieval.
• User queries are processed by AWS Lambda, fetching real-time data and generating responses via Amazon API Gateway.
• The chatbot generates procurement documents and stores them in Amazon S3.
Reduced response times by 25%, automated 80% of inquiries, and developed a scalable multilingual chatbot supporting Hindi, Bengali, and English.
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