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CASE 01 · GLOBAL RETAIL · CUSTOMER OPERATIONS

AI customer service automation for a global retailer

Industry
Retail & e-commerce
Services
AI Agent Development · NLP
Timeline
8 weeks to production
Stack
Claude · AWS · Kubernetes
−75%
response time
10k+
daily inquiries handled
24/7
multi-channel coverage
92%
resolved without escalation
The challenge

A global retailer's support organization was drowning: 10,000+ daily inquiries across email, chat and social, seasonal spikes that hiring couldn't track, and response times that were quietly eroding customer loyalty.

The solution

We deployed intelligent service agents across every channel — NLP-driven personalization, order-system integrations for real answers, and seamless escalation that hands humans the full conversation context, not a transcript dump.

The results

Response times fell 75% within the first quarter. The agents now resolve 92% of inquiries end to end, and the human team focuses on the complex cases where empathy actually moves the needle.

SYSTEM AT A GLANCE
01Omnichannel intakeEmail, chat, social — 10k+ inquiries a day
02Intent & sentiment agentsNLP classification with per-customer context
03Answer synthesisLive order, inventory and account lookups
04Human escalationFull conversation context, zero repeats

Our customers stopped noticing they were talking to an agent — and started noticing how fast their problems got solved.

VP CUSTOMER EXPERIENCE · GLOBAL RETAILER