How I Built a Complete Supply‑Chain Visualization Dashboard in 2 Hours
The article walks through a step‑by‑step process for turning fragmented sales, procurement, production, inventory and shipping data into a single, real‑time supply‑chain dashboard using the 简道云 platform, highlighting data integration, three‑layer visual design and automated alerts that cut down firefighting and improve decision‑making.
Many companies suffer from chaotic supply‑chain information: sales ask in chat when orders will ship, procurement waits on suppliers, production constantly replans, and the boss can’t see where the bottleneck is. The data exists in separate systems—sales orders in the ERP, procurement progress in Excel, production schedules in PMC sheets, inventory in a warehouse system, and shipping records elsewhere—yet no single view links an order from receipt to delivery.
Step 1: Clarify the End‑to‑End Flow
I first mapped the complete order lifecycle and identified six critical nodes: sales order, material availability, procurement receipt, production scheduling/completion, inventory status, and shipping progress. Recognizing that the supply‑chain consists of five flows (order, material, production, inventory, delivery) became the foundation for the dashboard.
Step 2: Consolidate All Data into One System
Using the 简道云 supply‑chain management solution, I created five tables that all share the order number as the primary key:
Sales Order Table – fields: order number, customer, amount, due date, product model, status.
Procurement Progress Table – fields: order number, material code, supplier, planned arrival, actual arrival, delay flag.
Production Schedule Table – fields: order number, planned start, planned finish, actual finish, current status.
Inventory Table – fields: material code, current stock, safety stock, available stock.
Shipping Record Table – fields: order number, shipping date, quantity, shipped‑complete flag.
Linking every record by order number enables instant queries such as “which materials for this order are still pending?” and automatically calculates the material‑availability rate.
Step 3: Design a Three‑Layer Dashboard
Layer 1 – Executive Overview : Shows total order value, shipped amount, pending amount, overdue order count and on‑time delivery rate—information the boss needs in seconds.
Layer 2 – Supply‑Chain Monitoring (for PMC and supply‑chain managers): Includes four modules—order‑progress distribution (unplanned, in‑production, awaiting shipment, completed), material‑availability rate, procurement‑delay alerts (actual > planned), and work‑in‑process amount (cash tied up in production).
Layer 3 – Issue‑Tracking : Interactive charts that drill down from an overdue order to its root causes—missing materials, supplier delays, production hold‑ups, or scheduling conflicts.
Step 4: Implement Automated Alerts
Procurement delay reminder when actual arrival exceeds planned arrival.
Pre‑production reminder 7 days before due date if no schedule exists.
Low‑stock warning when inventory falls below safety stock.
These alerts flip the model from “people chase data” to “data proactively notifies people.”
Step 5: Build the Dashboard in Two Hours
First hour : Clarify the process, create the tables, define the order‑number relationships.
Second hour : Assemble the visual components, configure the key metrics, set up the three‑layer layout and enable the alert rules.
Results After Deployment
Sales no longer need to ping PMC daily; they view order status instantly.
Procurement sees priority orders and missing materials at a glance.
Production schedules become risk‑aware rather than blind.
The boss can skip meetings and read the dashboard directly.
In practice, visualizing the entire flow surfaces hidden problems, reduces firefighting, and turns a chaotic supply‑chain into a transparent, data‑driven operation.
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Old Zhao – Management Systems Only
10 years of experience developing enterprise management systems, focusing on process design and optimization for SMEs. Every system mentioned in the articles has a proven implementation record. Have questions? Just ask me!
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