We made a visible and
measurable impact to our
client's business
Response accuracy
First response time reduced to under
Seamlessly managed concurrent users
Significantly boosted customer satisfaction and operational efficiency
About the Client
A leading finance provider specializing in innovative financial solutions for a large customer base. Based in [location], the company focuses on delivering excellent customer service but struggled with increasing demand for support. Their key challenges included high response times and overwhelmed staff during peak periods.
The Problem
The client faced major bottlenecks in their customer support system, leading to delays in response times and unsatisfied users. High operational costs and a lack of personalization in responses made it difficult to scale efficiently. Previous solutions failed to provide the necessary speed and accuracy, which resulted in missed opportunities and poor customer experience.
Our Approach
Lauren Group deployed an AI-powered chatbot to address the challenges. By integrating AWS services like Amazon Bedrock, EC2, and S3, the solution automated responses to common queries and scaled effortlessly to handle up to 500 concurrent users. We also used AWS Route 53 for traffic management and AWS CloudWatch for performance monitoring. ChromaDB was integrated to securely store and retrieve data, ensuring the chatbot's responses were accurate and timely.
Tech Stacks Used
Amazon Bedrock
AWS EC2 & S3
AWS Route 53
AWS CloudWatch
ChromaDB
The Result
Reduced first-response time to under 2 seconds
90% accuracy in response quality
Seamlessly supported 500 concurrent users during high-demand periods
Increased customer satisfaction and improved support team efficiency