Customer servicethat knows the cost.
Xolus turns every after-sales conversation into a controlled decision: policy, cost, approval, and outcome.
Xolus is an operations layer for commerce service teams, designed to turn repetitive conversations into consistent decisions, measurable outcomes, and calmer support.
Built first for Douyin merchants, Xolus connects customer intent with product rules, order context, supplier policies, and refund limits.
The result is not an AI chatbot. It is a controlled service workflow: understand, calculate, approve, and learn.
A service desk with financial memory.
Every recommendation is attached to a rule, a cost, and an approval state.
See the workflowxolus.ai / operations
Live queue
calibratedDecision
Return request
“The item arrived scratched. I want a refund.”
Issue
Surface damage
Risk
Medium
Evidence
Required
Offer
¥15
Ceiling
¥23
Return loss
¥46
Apologize, request evidence, and offer partial compensation within the approved range.
0s
Decision time
From first message to a suggested service action.
0%
Adoption rate
Recommendations accepted by support teams in pilot workflows.
¥0
Monthly leakage reduced
Estimated monthly over-compensation reduced in demo modeling.
0%
Return pressure down
Lower return-refund pressure through calibrated negotiation.
Your team keeps control of every refund, every message, and every exception before anything reaches the customer.
Xolus is designed for assisted operations: models understand context, rules calculate boundaries, and humans approve the final action.
Pilot
Start with 100 real service cases.
We model your products, costs, supplier policies, and support rules, then test Xolus against real after-sales conversations.
Request Pilot01
Import
02
Calibrate
03
Assist
04
Report