E-commerce Operations System
Product research, competitor analysis, KOL matching, content operations, and campaign support for cross-border commerce teams.
Business Systems & Automation
Practical systems for business process automation
From e-commerce operations, KOL matching, and customer service to internal processes, we turn repeatable work into traceable, reviewable, and continuously improving software processes.
Designed to connect with
Enterprise knowledge basesSocial and KOL dataCustomer message channelsInternal business systems
Process Control Studio
Data · Tools · Review · Output
01
Data Sources
02
Process Handling
03
Human Review
04
Business Output
Business Outputs
Product researchKOL matchingCustomer repliesQuotes and approvals
Tool calls
API
Human review
Required
Audit trail
Logged
Business System Directions
We do not just deliver one-off pages or scripts. We turn business processes into system modules that can run, be reviewed, and improve over time.
Enterprise Process Automation
Connect documents, knowledge bases, approvals, quotes, and reports while operating inside permission boundaries.
Custom System Development
From requirements to delivery: API integration, private deployment, access control, audit logs, and continuous optimization.
Beyond Q&A
More than a conversation interface
Many tools only answer questions. Businesses need systems that access data, follow rules, move work forward, and bring people in when judgment matters.
01
Connect enterprise data and third-party interfaces
02
Use knowledge bases and business rules
03
Support multi-step process orchestration
04
Keep human review and audit logs
Case and Demo Entry Points
Case and Demo Entry Points
E-commerce Product Research Process
Generate reviewable product and campaign recommendations from product, competitor, and social data.
KOL Matching and Creator Screening
Filter creators by audience profile, content style, campaign fit, and risk signals.
Internal Document Processing Tool
Connect documents, knowledge bases, and business systems to generate summaries, reports, quotes, or approval materials.
Technical Architecture
Technical Architecture
A four-layer architecture covering the full pipeline from data ingestion to system delivery.
Data Layer
Multi-source ingestion, cleansing, structuring, permission boundaries, and knowledge base governance.
Processing Layer
Retrieval, rules, task decomposition, tool use, and quality evaluation.
Process Layer
Approvals, reviews, quotes, reports, notifications, and multi-step orchestration.
Delivery Layer
APIs, admin systems, private deployment, audit logs, and ongoing maintenance.