Retail & Fashion

Customer experience analytics for retail & fashion

From fitting rooms to digital, one voice. Track store experience, fit & quality feedback, and close the gap between stores and e-commerce.

Customer experience analytics for retail & fashion

Where retail CX breaks

Invisible store pain

Feedback stays in silos; HQ can’t see patterns by location.

Fit & quality signals

Returns and comments aren’t linked to actionable themes.

VIP recovery

High-value negatives aren’t escalated fast enough.

How Pivony helps

1

Listen everywhere

Surveys, reviews, care transcripts, and social in one model.

2

Understand fast

Native language NLU surfaces root causes and emerging issues.

3

Act automatically

Agents open tasks, alert stores, and trigger recovery flows.

What you can track

Fit satisfaction, store experience scores, omnichannel NPS drivers.

Reference narrative

Fashion retailers use Pivony to link store feedback with online journeys and recover VIPs in hours, not weeks.

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Go deeper

Playbook

AI in Retail: Store & Ecommerce CX (2026)

Unify store, service, and ecommerce voice by product group.

Read playbook
Compare for retail buyers

Reuse our live comparison pages β€” Qualtrics, Medallia, and the 2026 retention ranking.

Proof & scan

Samsung Γ— Pivony β€” service NPS and product-group experience scores, not store scores alone.

ProofSamsungFull Intelligence

Samsung chose Pivony to deepen insight into product preferences and service experience β€” internal and external voice on one platform, across product groups.

  • βœ“Internal + external 360Β° consumer voice
  • βœ“Service-experience NPS beyond score-only dashboards
  • βœ“Product-group views (white goods β†’ mobile) with competitor context
Read the Samsung announcement β†’