AI Bot
Core7×24h automatic handling of repetitive inquiries such as logistics queries and returns/exchanges
SaleSmartly is built for cross-border after-sales teamsOmni-channel Unified Inbox, aggregating messages from multiple platforms like WhatsApp, Messenger, Email, and Instagram,AI Bots24/7 automated handling of common issues like logistics inquiries and return/exchange policies, allowing customer service to focus on complex complaints. From execution to management, one backend provides comprehensive control.
With customers all over the world, more and more customers from different industries choose SaleSmartly to achieve business growth.
WhatsApp, Messenger, Email, Instagram... simultaneously logging into 5+ accounts leads to missed messages, customer waiting, and agent burnout.
Unattended at night and on holidays, customer complaints cannot be responded to promptly, leading to increased negative reviews and damaged brand reputation.
Manual spot checks are less than 5%, quality inspection relies on luck; performance evaluations are based on impressions, and team management lacks data basis.
From inquiry reception to analysis, from automation to repurchase, one platform addresses all the needs of cross-border after-sales teams.
7×24h automatic handling of repetitive inquiries such as logistics queries and returns/exchanges
AI full-scale quality inspection, coverage from 5% to 100%
Automatic tagging and segmentation, triggering repurchase after after-sales issues are resolved

Inquiries from channels like WhatsApp, Messenger, Email, and Instagram are automatically aggregated into a single backend, eliminating the need to switch between multiple platform accounts. No messages are missed, and customer inquiries receive instant responses.

The built-in AI translation engine supports real-time two-way translation for 134 languages, allowing customer service to smoothly handle overseas customer inquiries without knowing foreign languages. Language is no longer a barrier to cross-border after-sales.

AI robots automatically handle about 80% of repetitive inquiries such as logistics queries and return/exchange policies. Services are uninterrupted at night and on holidays, reducing customer complaint rates by 50% and eliminating the need for night shifts.

When customers mention returns or refunds, the system automatically triggers a self-service form, guiding customers to upload proof. This standardizes the return/exchange SOP implementation, reduces manual back-and-forth communication, and improves processing efficiency.

The system automatically summarizes high-frequency after-sales issues. If "size runs small" frequently appears, operations can optimize the product detail page, reducing after-sales volume at the source and allowing frontline data to drive product iteration.

Optimizing product descriptions can reduce after-sales costs by 40% and increase repurchase rates by over 25%. After-sales issue analysis helps cross-border teams identify blind spots in product descriptions and deficiencies in marketing strategies, making customer service a data source for business optimization.

The system automatically tags customers based on communication records (e.g., "Complaint Resolved - High Potential", "Logistics Delay Sensitive"). Front-line customer service can directly see customer segmentation, providing differentiated services instead of a one-size-fits-all approach.

After after-sales issues are resolved, the system automatically triggers a repurchase process, pushing targeted exclusive offers or new product reminders. Repurchase rate increases by 35%, turning the end of a customer complaint into the beginning of a repurchase, with customer service directly contributing to GMV.
From methodology to case studies, find the after-sales efficiency improvement solution that suits your team.
Master quick response techniques, reduce customer waiting time, and effectively increase order conversion rates.
Learn Practical Skills →Build a high-quality AI corpus to achieve accurate automated responses to common questions, freeing up human resources from repetitive tasks.
Learn Use Cases →Omnichannel message aggregation, real-time translation, and customer data accumulation, detailed explanation of solution features.
Learn about feature details →See how leading retail brands restructure after-sales processes to achieve a leap in team efficiency.
Learn about customer cases →Numbers don't lie, see the real difference before and after adopting SaleSmartly
Before using SALESMARTLY
Frequent switching between multiple platforms, easy to miss messages, cross-border after-sales teams need to monitor 5+ channels simultaneously
After using SALESMARTLY
Centralized processing in a unified backend, fully traceable, managing global inquiries from a single interface
Before using SALESMARTLY
Manual spot checks less than 5%, minority language conversations become quality inspection blind spots
After using SALESMARTLY
AI full-scale scanning, 100% coverage, seamless cross-language quality inspection
Before using SALESMARTLY
Based on subjective impressions, time-consuming data statistics, lack of objective basis for evaluations
After using SALESMARTLY
Automatic report generation, real-time access to key metrics, transparent and fair evaluations
Before using SALESMARTLY
Problem resolution is the end, data accumulation is difficult, after-sales is seen as a cost center
After using SALESMARTLY
VOC-driven product optimization, 35% increase in repurchase rate, after-sales upgraded to a growth engine
| Dimension | Before using SALESMARTLY | After using SALESMARTLY |
|---|---|---|
| Multi-channel Management | Frequent switching between multiple platforms, easy to miss messages, cross-border after-sales teams need to monitor 5+ channels simultaneously | Centralized processing in a unified backend, fully traceable, managing global inquiries from a single interface |
| Quality Inspection Coverage | Manual spot checks less than 5%, minority language conversations become quality inspection blind spots | AI full-scale scanning, 100% coverage, seamless cross-language quality inspection |
| Performance Evaluation | Based on subjective impressions, time-consuming data statistics, lack of objective basis for evaluations | Automatic report generation, real-time access to key metrics, transparent and fair evaluations |
| After-Sales Value | Problem resolution is the end, data accumulation is difficult, after-sales is seen as a cost center | VOC-driven product optimization, 35% increase in repurchase rate, after-sales upgraded to a growth engine |
We've compiled the most frequently asked questions by cross-border after-sales teams to help you quickly find your answers.
Before, I had to log into 5 platform backends simultaneously to reply to messages, often getting overwhelmed. After using SaleSmartly, all messages are in one inbox, and AI can automatically handle most inquiries. I save at least 2 hours a day on repetitive replies and no longer have to stay up late to respond to messages.