A supply chain dashboard is a single view of the measures a team needs to run and improve its supply chain, usually pulled from planning, inventory, transport and supplier systems. A useful supply chain dashboard shows a small set of KPIs for a named audience, with clear definitions, current data and a way to see why a number moved.
Most dashboards fail by trying to show everything. The better approach is to decide who will use it, which decisions it supports, and then choose the fewest measures that serve those decisions.
Start with the audience
Different roles need different views. One screen rarely suits all of them.
| Audience | Main interest | Typical measures |
|---|---|---|
| Executives | Overall performance and risk | Order fill rate, perfect order rate, inventory value, total logistics cost, cash-to-cash cycle |
| Planners | Balance of demand and supply | Forecast accuracy, projected stock-outs, excess stock, open supply gaps |
| Procurement | Supplier reliability | Supplier on-time-in-full, lead time variation, open purchase orders, quality rejects |
| Logistics and warehouse | Daily execution | On-time delivery, dock-to-stock time, order cycle time, backlog, transport cost per shipment |
Choosing which KPIs to include
A KPI earns its place when someone can act on it. Apply a few filters.
- Linked to a decision: if no one would change anything when it moves, leave it out.
- Clearly defined: write the formula, the data source and the time period. For example, inventory turns is cost of goods sold divided by average inventory, and fill rate is units shipped divided by units ordered.
- Balanced: include service, cost, inventory and speed together, so improving one does not quietly damage another.
- Owned: each measure has a named person responsible.
- Comparable: show a target, a prior period or a trend, since a number alone says little.
Leading indicators, such as supplier shipment delays or growing order backlog, give earlier warning than lagging ones such as monthly service level.
Data sources and refresh
Dashboards typically draw from ERP, warehouse and transport systems, supplier portals and planning tools. Decide how often each measure needs to refresh. Daily execution views may need near-real-time data, while strategic cost measures can update monthly. Reconcile numbers across sources before launch, because teams lose trust quickly when two reports show different values for the same metric.
Design rules that keep it useful
- Put the most important measures at the top and keep the first screen to a handful of items.
- Use simple chart types: lines for trends, bars for comparisons, and tables for detail.
- Use colour sparingly, mainly to flag exceptions against targets.
- Let users drill from a summary into region, product, supplier or lane.
- Show the date of the last data refresh and the definition of each metric.
- Remove measures that nobody has used for several review cycles.
Where AI can help, and where it cannot
Machine learning can add forecasts, anomaly flags and estimated arrival times to a dashboard, and natural-language tools can let users ask questions of the data. These features depend on the same clean data as the rest of the dashboard. They can highlight a problem, but a person still has to decide what to do. Show prediction uncertainty where possible, and track how often the flags prove correct.
Common mistakes
- Building around available data instead of needed decisions.
- Mixing definitions, such as measuring on-time against the requested date in one place and the promised date in another.
- Showing averages that hide problems at the lane, site or supplier level.
- Skipping a regular review meeting where the dashboard is actually used.
Common questions
How many KPIs should a dashboard have?
There is no fixed number. A common guide is to keep a role-specific view to a small group that fits on one screen, and put detail behind drill-downs.
Which tool should be used?
Many business intelligence tools can do the job, as can modules in ERP and supply chain planning platforms. Choose based on data connections, user access control, cost and the skills already in the team, not on feature lists alone.
Sources and further reading
- Association for Supply Chain Management (ASCM)
- Council of Supply Chain Management Professionals (CSCMP)
- Harvard Business Review: Supply Chain Management topic (Harvard Business Review)