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.

Where retail CX breaks
Invisible store pain
Feedback stays in silos; HQ canβt see patterns by location.
Fit & quality signals
Returns and comments arenβt linked to actionable themes.
VIP recovery
High-value negatives arenβt escalated fast enough.
How Pivony helps
Listen everywhere
Surveys, reviews, care transcripts, and social in one model.
Understand fast
Native language NLU surfaces root causes and emerging issues.
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.
Go deeper
AI in Retail: Store & Ecommerce CX (2026)
Unify store, service, and ecommerce voice by product group.
Read playbookReuse our live comparison pages β Qualtrics, Medallia, and the 2026 retention ranking.
Samsung Γ Pivony β service NPS and product-group experience scores, not store scores alone.
Samsung chose Pivony to deepen insight into product preferences and service experience β internal and external voice on one platform, across product groups.
- βInternal + external 360Β° consumer voice
- βService-experience NPS beyond score-only dashboards
- βProduct-group views (white goods β mobile) with competitor context
Explore the Pivony platform