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E-commerce6 weeks

AI-Powered Customer Support Transformation

RetailNext

90%

Auto-Resolved

-70%

Response Time

+35%

CSAT Score

24/7

Availability

The Challenge

RetailNext's support team was overwhelmed with repetitive queries about order status, returns, and product information. Response times were suffering, and customer satisfaction scores were declining.

Our Approach

1

Analyzed 6 months of support tickets to identify common patterns and queries

2

Built an AI chatbot trained on their knowledge base and product catalog

3

Implemented intelligent routing to escalate complex issues to human agents

4

Created a feedback loop to continuously improve response accuracy

Technologies Used

PythonLangChainOpenAINext.jsMongoDB

Results

90%

Auto-Resolved

-70%

Response Time

+35%

CSAT Score

24/7

Availability

Our customers get instant answers now, and our support team handles the interesting problems instead of copy-pasting the same responses.

M

Michael Torres

Head of CX, RetailNext

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