Build a Supply‑Chain Alert Center in 2 Hours: Automatic Stockout, Delay, and Exception Notifications

Problem : Many manufacturers discover stockouts, supplier delays, or order‑delivery risks only after they happen because data is scattered across sales systems, Excel sheets, warehouse tables, production PCs, and WeChat groups.

Solution Overview : In two hours the author built a supply‑chain warning center on a low‑code platform, first establishing a unified data foundation and then adding five rule‑based alerts that automatically notify the right people.

Step 1 – Build the Data Foundation

Order data : customer order, product model, quantity, delivery date, current status.

Material data : material code, associated product, current stock, safety stock, demand quantity.

Procurement data : purchase order, supplier, planned arrival, actual arrival.

Production data : production plan, start time, finish time, current progress.

Exception data : material shortage, quality issue, delay, order change.

These tables are linked via relational fields so that a single order can reference its material, purchase order, production task, and shipment record, allowing the system to know exactly where an order stands.

Step 2 – Stockout Alert

The rule Current Stock < Safety Stock triggers a reminder such as “Material X inventory is insufficient, please replenish.” The alert also shows which production tasks and customer orders are affected.

Step 3 – Procurement Delay Alert

The system compares the planned arrival date with the actual arrival date. If the actual date exceeds the plan, an automatic notification is sent to the procurement owner and the delay is recorded (supplier, number of delays, delayed days, impacted orders).

Step 4 – Order‑Risk Alert

Using order delivery date, production progress, material‑completion rate, and procurement completion, the system flags high‑risk orders. Example: an order due in 7 days with only 50 % material readiness and 20 % production completion is marked “high risk” and alerts sales, PMC, and the production supervisor.

Step 5 – Exception‑Handling Loop

When an exception (e.g., quality issue) is reported, the workflow automatically notifies the responsible parties (procurement, quality, supplier manager), records the handling steps, and closes the record, creating a traceable history for future reference.

Risk Dashboard

The final dashboard aggregates key metrics for management:

Order risk : number of high‑risk orders, delayed orders, delivery completion rate.

Inventory risk : out‑of‑stock items, low‑stock SKUs, dead stock.

Supplier risk : delay frequency, on‑time delivery rate, exception count.

Exception handling : pending issues, overdue exceptions, responsible department.

Managers can open the dashboard and instantly see who is responsible for each risk and the current processing stage, eliminating the need for ad‑hoc inquiries.

Key Takeaways

Effective alerts rely on explicit rules rather than intuition.

Alerts must be tied to concrete business actions (e.g., create a purchase task, notify a responsible owner).

Start with a minimal, high‑impact set of alerts (stockout, delay, exception, order risk) and expand iteratively.

Low‑code platforms enable rapid adjustments to fields, rules, and workflows without full redevelopment.