Product and inventory signals
Calculate days of cover from inventory, daily sales and replenishment lead time, then return urgent, replenish, watch or healthy states with suggested quantities.
Technology Evidence · Project 2026
Turning operating rules into working automation tools
The project starts with real beauty-commerce workflows and turns recurring decisions across products, inventory, orders and exception handling into transparent, testable and iterative browser tools.
Self-built prototypeVisible rulesRuns locally in the browser
Evidence, Not Claims
Two working examples
This is not a concept poster. You can switch operating scenarios, recalculate inventory coverage, process order exceptions and export the demo result. Every number is explicitly illustrative and does not represent real operating performance.
Order exception routing
Prioritise inventory mismatch, incomplete address, fulfilment SLA risk and payment review, mapping each exception to a clear next action.
Transparent boundaries
The current demo uses local browser data only. It does not connect to a marketplace, ERP or real order. The data layer can later be replaced with authorised APIs.
Interactive demo: All data is illustrative and calculated in this browser. It does not connect to a real store, order, consumer record or third-party production system. Ten SKUs and ten order exceptions load by default, so results are visible immediately.
Default analysis loaded
Tool 01 · Inventory Signals
Product and inventory signal analysis
Days of cover = current stock ÷ scenario daily sales
| SKU / Demo product | Stock | Daily sales | Coverage | Status | Rule output |
|---|
Tool 02 · Exception Routing
Order exception routing
Sort by business risk and map each exception to the next action
| Demo order | Exception | Priority | Suggested action | Process |
|---|
Architecture
From interactive prototype to connected system
Interface logic and demo data are separate. With proper authorisation, data sources can be replaced progressively with marketplace APIs, ERP, CSV or internal services, followed by access control, audit records and task queues.
Marketplace API, ERP, CSV or authorised manual input
Products, inventory, orders and fulfilment status
Coverage, exception priority and task routing
Alerts, replenishment advice, queues and exports
Project & Team
Project started in 2026
Led by founder and project lead Lu Guangzhe, the initiative continues to develop around beauty operations, supply-chain coordination and workflow automation.