Retail Business’s AI Chatbot for Customer Queries

Commerce Sphere deployed a trained AI chatbot for a retail client, slashing response times by 70% and cutting support costs by 30% while enabling upsells and order updates.

Business Problem:
A retail business dealt with high volumes of customer queries, resulting in slow response times and increased employee costs, without capabilities for upselling or order updates.

Process:

  1. Analysis: Identified common queries like order status and product info.
  2. Design: Trained a conversational AI chatbot on retail data for queries, upsell suggestions, and integrations.
  3. Implementation: Deployed over 4 months, with testing for accuracy.
  4. Optimization: Monitored performance to reduce human interventions.

Completion and Results:
The chatbot reduced response times by 70% and employee costs by 30%, while enabling upsells, similar to Sephora’s Virtual Artist chatbot that transformed customer service in retail.

Client Benefits:

  • 70% faster response times.
  • 30% cost savings on support staff.
  • Increased sales through automated upsells.
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