XINGYUN COMPUTE OFFICIAL SITE
Xingyun Compute
Put data collection, AI analysis, and safe execution into one growth workflow
An AI data intelligence workspace for cross-border commerce and brand teams. Xingyun Compute brings official data collection, business signal discovery, strategy recommendations, human review, permission governance, and outcome review into one place, so teams can pursue growth while keeping every action controlled, traceable, and reusable.
Let AI join growth decisions while your team keeps control
Xingyun Compute is a connected path from data to decision, recommendation to execution, and result to review.
From insight to a reviewed action draft
Turn a finding into a structured, discussable action while retaining its evidence and target object.
1
Collect
Record task runs, cursors, freshness, and row counts across Ads API and SP-API sources.
2
Analyze
Combine advertising, order, inventory, Listing, review, and keyword signals into an explainable view.
3
Review
Let operators and managers discuss the evidence, impact, constraints, and proposed action.
4
Execute and learn
Execute within permission boundaries, then return results and decisions to the next review cycle.
Product capabilities
A growth workflow that makes data trustworthy, recommendations explainable, actions governable, and experience reusable.
01
Unified context
Questions, metrics, recommendations, approvals, and execution stay around one business object.
02
Official collection foundation
Build standard fact tables, collection state, and freshness records from private Ads API and SP-API data.
03
Explainable recommendations
AI provides evidence, constraints, and a discussable direction instead of a black-box conclusion.
04
Governed execution
Keep permissions, approval, auditability, and ownership inside every high-impact growth action.
05
Clear tenant boundaries
Use companies, stores, authorizations, and roles as the boundaries for multi-tenant operations.
06
Reusable team knowledge
Keep high-quality decisions, review notes, and execution feedback as shared operating knowledge.
Why Xingyun Compute
We focus on the complete collaboration chain around growth actions, not isolated dashboard features.
A
One loop from collection to execution
Task, run, report, recommendation, review, and action use the same object language, reducing context switching.
B
Growth actions stay controlled
AI proposes; your team confirms. Company, store, ASIN, and role boundaries keep impact visible and accountable.
C
Experience compounds
Capture evidence, disagreements, approvals, and results so every strong decision becomes a reusable team asset.
Move your growth workflow from analysis to safe execution
Start with the collection, reporting, and review loop, then connect more automation as your operating standards mature.