CASE STUDY

Transforming Support for a Retail Enterprise

A rapidly growing ecommerce company handling 35,000+ monthly inquiries needed a scalable, AI-first support model to improve response time, reduce backlog, and maintain customer satisfaction.

80%

Faster First Response

93%

Customer Satisfaction

65%

Ticket Backlog Reduction

40%

Higher Volume Managed

The Challenge

  • 35,000+ monthly customer inquiries overwhelming support teams
  • Response times exceeding 10 hours
  • Customer satisfaction stuck at 78%
  • Increasing backlog of unresolved support tickets
  • Inconsistent multi-channel support experience
  • Teams overloaded with repetitive queries

Customer Overview

A fast-growing ecommerce retailer managing high-volume support across email, chat, phone, and social channels.

Without structured workflows or automation, operations struggled with delays, inefficiencies, and declining customer experience during peak periods.

DXW’s Approach

  • Implemented AI-assisted query handling for repetitive requests
  • Unified multi-channel support into a centralized workflow
  • Enabled intelligent ticket classification and routing
  • Deployed trained agents for complex issue resolution

Execution Focus

  • AI-powered automation for high-volume queries
  • Centralized support across all communication channels
  • Priority-based intelligent routing system
  • Human support for escalations and complex cases

Business Outcomes

80%

Improvement in First Response Time

93%

Customer Satisfaction (from 78%)

65%

Ticket Backlog Reduced

40%

Higher Inquiry Volume Managed

Metric Before DXW After DXW
First Response Time 10+ hours 80% faster
Customer Satisfaction 78% 93%
Ticket Backlog High 65% reduced
Query Handling Manual heavy AI-assisted automation

“DXW transformed customer support operations into a scalable, AI-first system that improved response speed, reduced backlog, and delivered consistent customer experiences across all channels.”