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 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
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.
What Pivony surfaces in retail
Out-of-stock frustration
Stockouts and missing sizes or variants drive negative sentiment that rarely shows up in NPS scores but dominates store reviews.
Staff and checkout experience
Queue times and staff attitude are the most common root causes behind in-store dissatisfaction across locations.
Online-to-store gaps
Click-and-collect and returns friction surface as recurring complaints once omnichannel feedback is unified.
Where retail feedback lives
Retail CX questions
How does Pivony analyze store-level feedback?
Pivony unifies reviews, surveys, and call-center data, then runs root cause analysis per store and category so you see exactly which locations and issues drive dissatisfaction.
Does Pivony work in Turkish and other languages?
Yes. Pivony has native Turkish natural language understanding plus multilingual support, so reviews and tickets are analyzed accurately across markets.
How is this different from a survey tool?
A survey tells you the score went down. Pivony tells you why, from real customer conversations, and triggers the action automatically.
Explore the Pivony platform