Returns & exchanges + refunds + reviews + NPS closed loop
The after-sales & reviews module covers return/exchange tickets, refund approvals, review accumulation, SLA monitoring and sentiment analysis, with unified omnichannel customer service, turning every after-sales case into a dual asset of customer satisfaction and brand reputation.
Tickets, refunds, reviews and satisfaction on one screen — the real workbench for service supervisors
Full-process after-sales service capabilities, delivered end to end
Refund / exchange / repair / refund-only / shipping-refund ticket types, with visual status transitions.
Tiered approval by amount / channel / customer — small amounts auto-pass, large amounts require dual review with full audit trail.
Product reviews, photo/video moderation, with prohibited-word and sentiment analysis auto-filtering fake reviews.
Auto-trigger NPS surveys after order/ticket closure; negative and neutral reviews flow back to service for follow-up.
App, mini program, Douyin, WeCom, phone and email unified into the after-sales service hub.
Configure response / processing time thresholds by ticket type and customer tier, with automatic escalation on timeout.
Flexible adaptation to different business models
Compensation-driven with high return costs — needs fast claims and reshipment, combined with RFM checks to prevent abuse.
Integrate with after-sales service providers — closed-loop ticket dispatch / on-site visits / repair check-in / parts traceability.
Multilingual tickets + return-shipping compliance fields + overseas-warehouse reshipment, matching Amazon / independent-site after-sales standards.
From customer request to reputation accumulation, after-sales service standardized
Customers initiate after-sales from any channel — App / mini program / Douyin / service — with tickets auto-aggregated
Smart-dispatched to the responsible agent, routed through the corresponding approval flow by amount / type, escalating to supervisors when needed
Refund returned via original route / exchange reshipped / repair dispatched, with order status auto-written back on node completion
Trigger review / NPS surveys; sentiment analysis extracts improvement points to feed back into products and operations
The same tech stack as the big players, with enterprise-grade stability
Multi-type ticket model + state-machine-driven transitions, supporting sub-tickets, batch processing and scheduled reminders
The rule engine auto-decides approval paths by amount / customer tier / after-sales history / product type
Identifies high-frequency refunds from the same account / abnormal IPs / scalper behavior, auto-routing suspected abuse to manual review
NLP models determine review sentiment and cluster negative-review causes, producing product improvement suggestions
Multi-level threshold alerts + auto-escalation + supervisor dashboard, with after-sales timeliness fully transparent and traceable
A unified service hub connecting IM / official accounts / Douyin / WeCom / email, with tickets aggregated in one place
Real, tangible business value
Smart dispatch + auto-approval cut average after-sales processing time from 18 hours to 6 hours.
SLA monitoring + auto-escalation reduced negative reviews and platform complaints by over 35% year on year.
NPS surveys + review sentiment analysis turn "good or bad" from a subjective feeling into an objective metric.
Negative-review cause clustering + product-level attribution route issues back to product, R&D and procurement teams.
Questions you may have
Once the system detects a "refused / rejected" status written back from logistics, it auto-generates a return ticket and decides per preset rules whether to deduct shipping and whether to refund via the original route; it simultaneously notifies service and triggers proactive contact scripts to avoid repeated customer complaints.
Configure by after-sales reason: product quality / missed or wrong shipment is borne by the merchant; "7-day no-reason / dislike" is borne by the customer; during campaigns you can temporarily set a "merchant-paid shipping coupon" promotion. Shipping costs can integrate with Cainiao shipping insurance or be advanced by the merchant.
A dispute escalation flow is provided: customers can raise a dispute with text and image evidence, the system routes it to a supervisor / arbitrator, with the whole process logged; when handling platform complaints, you can one-click export a ticket evidence pack (chat logs, logistics trace, refund vouchers).
Review management has built-in multi-layer controls — prohibited words, duplicate-template detection, IP frequency, device fingerprint and buyer behavior profiling; suspicious reviews are auto-hidden and routed to manual review, ensuring real buyers see real reviews.
Staged handling: a reminder before timeout, auto-escalation to the supervisor / regional lead after timeout, and auto-closure per rules on a second timeout (e.g., default refund approval / a small compensation coupon); the supervisor dashboard pushes daily timeout statistics and a responsible-person ranking.
Yes. We provide standard event Webhooks and an OpenAPI, with adapter templates for common service systems (Meiqia / NetEase Qiyu / Zendesk / Freshdesk). Ticket data syncs bidirectionally, and service IM conversations link to after-sales tickets with one click.
Dedicated 1-on-1 advisor service, tailoring an after-sales & reviews rollout plan for you