01Custom AI / Trade teams

Put AI inside
the real workflow

Chenfeng AI builds custom agents, workflows and integrations for foreign trade and cross-border e-commerce teams. Inquiry handling, quotations, after-sales and product data, shaped around your rules.

Custom-builtaround your process
Delivered in stageswith visible checkpoints
Where it helps

Turn repetitive work into
a reviewable process

Generic tools ask you to adapt. We start with the work that slows your team down, then define where AI can safely take over.

01INQUIRY

Inquiries & customer service

Sort inquiries and draft multilingual replies, with human approval for sensitive terms.

Explore the module
02QUOTE

Quotations & documents

Generate materials from your pricing logic and reduce repeated entry and avoidable errors.

Explore the module
03KNOWLEDGE

Knowledge & product data

Turn manuals, policies and past answers into a bounded business knowledge base.

Explore the module
04INTEGRATION

Skills, plugins & MCP

Connect the tools you already use and turn recurring actions into an executable workflow.

Explore the module
Designed around your rules

AI should execute
the rules you approve.

Pricing, delivery promises and claims stay behind a human review step by default. We define the data, permissions and boundaries before deciding what to automate.

  • Map the workflow before selecting tools
  • Use reviewed materials to define the knowledge boundary
  • Keep approval points, logs and traceable actions
WORKFLOW EXAMPLE
A reply workflow
EXAMPLE
  1. 01Classify the inquiryAgreed fields
  2. 02Draft a replyReviewed material
  3. 03Approve sensitive termsHuman review
  4. 04Record the next actionAgreed handoff

Illustration only. This is not live operational data.

Selected projects

See how a project takes shape.

Explore a trade workspace, an Amazon operations proposal and a wellbeing support demo. Each overview makes its stage and scope clear.

Interaction demo
TRADE WORKSPACE

Trade workspace

Connect messages, opportunities, customer records and quotations in one flow, starting with how information moves.

  • Inquiries
  • Opportunity follow-up
  • Quotations
Explore the project
Project proposal
AMAZON OPERATIONS

Amazon operations agent

Define integrations, exception alerts and human approvals across orders, inventory, refunds, advertising and support.

  • Operations data
  • Exception alerts
  • Approvals
Explore the project
Proposal & local demo
WELLBEING SUPPORT

Wellbeing support platform

Explore how supportive conversations, self-reflection, relaxation exercises and an operations workspace fit together.

  • Service entry point
  • Interaction design
  • Human handoff
Explore the project
Insights

Practical notes for teams putting AI to work.

Short, reviewable notes from the work behind a useful automation.

Browse all insights
A clear way to start

Start with one workflow.
You do not need to change everything.

Find the step that costs the most time or creates the most avoidable errors, then decide whether to expand.

01

Talk through the need

Identify the stuck step, existing tools and available materials.

02

Scope and quote

Set a staged plan around scope, integrations, data and permissions.

03

Build and test

Every stage has a visible result and a checkpoint for adjustment.

04

Launch and maintain

Receive operating notes and agree on support and future iterations.

Is there one workflow
you want AI to take on first?

WhatsApp