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Case study · Retail

AI service across every channel, lifting CSAT and cutting resolution time 74%

A retailer could not scale personal service for peak demand. We deployed AI across chat, voice and avatar — instant, consistent and always on.

−74%
resolution time
82%
auto-contained
4.6/5
CSAT
Figures illustrative of typical engagements.

The challenge

The retailer’s customers expected instant, personal help around the clock — but service quality collapsed at peak and cost scaled with every new hire. Slow, inconsistent answers were eroding loyalty.

Our diagnosis

Journey mapping found the highest-volume, highest-friction moments — order status, returns and product questions — were all repetitive and automatable, yet handled entirely by people.

80% of contacts were repetitive, automatable queries
Service quality dropped sharply at peak demand
No continuity of context across channels

The implementation

1
Map the journeys

Identified the volume to automate first.

2
Deploy AI touchpoints

Chat, voice and avatar agents with human escalation.

3
Connect the context

Unified conversation context across channels.

4
Optimise continuously

Used interaction data to improve answers.

The outcome

AI now handles 82% of contacts instantly and consistently, escalating the rest with full context. Resolution time fell 74%, CSAT rose to 4.6/5, and service held steady through peak without new headcount.

Dashboard snapshot · Customer Experience
See the live dashboard
−74%
resolution time
82%
contained
4.6/5
CSAT
24/7
coverage
Figures illustrative of typical engagements.
Lessons learned

What made it work

Automate the volume

The repetitive 80% was the fastest, safest win.

Escalate gracefully

Seamless human hand-off protected the hard cases.

Context is everything

Continuity across channels made AI feel personal.

Go deeper

Related to this engagement

Make great service instant and always-on.

We’ll deploy AI across your channels — resolving the volume, escalating the rest cleanly.