Demo ProductAI Commerce Operations

1688 AI Ops

AI should work on real product, order, inventory and SKU data—not invent operations in a chat window.

1688 AI Ops connects 1688 API / Excel data, product library, AI analysis, image production and operational tasks in one workspace.

PRODUCTAI should work on real product, order, inventory and SKU data—not invent operations in a chat window.
DELIVERSUnified product / order / inventory data · SKU structure
EVIDENCEDemo
1688 AI Ops 真实仪表盘
1688 AI Ops 优化前后对比
REAL DATA商品 · SKU · 库存 · 图片
AI TASK优化建议已生成等待人工审核
01

ONE REAL TASK

Example: process a batch of products that need optimization

The system normalizes data first, then runs AI analysis and visual tasks while keeping product facts, pricing, images and publishing behind human gates.

Input: 1688 API or Excel product data + product images
BEFORE

01Export product data into multiple spreadsheets.

02Check titles, attributes, SKU, inventory and images manually.

03Send images into separate tools or design workflows.

04Return to the seller backend and re-check everything again.

AFTER

01API / Excel / mock data enter through one provider contract.

02Products, orders, inventory and SKU use one data model.

03AI analyzes real product data rather than guessing.

04Image tasks, retries and review status are tracked.

05Approved changes become actionable operation tasks.

02

HOW IT WORKS

From input to a usable business result.

Each step says what the system does and what it hands to the next step.

01→

Unify data input

Use a provider layer for 1688 API, Excel or controlled demo data.

Normalized commerce data
02→

Build the product workspace

Products, orders, inventory and SKU become queryable operating data.

Product and inventory view
03→

Analyze real products

AI works on existing product facts and media.

Optimization suggestions
04→

Run image tasks

Generation, retry, status and review are tracked instead of treated as one-off prompts.

Image candidates
05✓

Turn suggestions into tasks

Approved improvements become operational actions.

Execution queue
03

WHY THIS PRODUCT

Three reasons it is more than another AI wrapper.

Every differentiation point has product or repository evidence behind it.

01

AI starts from real commerce data

Product, order and inventory data enter through a provider layer before AI is allowed to reason over them.

PROOFThe repository contains DataProvider abstractions and product / order / inventory modules.
02

Image generation is a workflow, not one prompt

Real operations need task state, retry, review and quality gates.

PROOFThe project includes an image-generation pipeline with real API paths and tracked task state.
03

Publishing safety is part of the product

The design explicitly avoids unattended price changes, captcha bypass and unsafe account-control automation.

PROOFEngineering and publishing-safety docs define these boundaries.
04

WHAT YOU ACTUALLY GET

Deliverables first. Boundaries included.

We separate what is ready, what is demo-stage and what still requires human approval.

DELIVERABLES
01Unified product / order / inventory data
02SKU structure
03AI optimization suggestions
04Image candidates and before/after review
05Action queue
06Pre-publish checks
BOUNDARIES

This remains a demo product rather than a fully standardized SaaS.

Some external image capabilities still depend on account entitlement.

Product facts, price, inventory, visuals and publishing remain human-approved.

1688 AI OPS

Send us the workflow that is wasting the most time.

We will first decide whether this product fits, a demo is needed, or the workflow should be custom-built.