Inventory management dashboard: Examples and best practices

An inventory management dashboard pays off when it shows stock on current data and lets the team decide what to reorder, move, or mark down in the same place. Many still run on overnight extracts and leave the decision to a spreadsheet. Out-of-stocks and overstocks cost retailers $1.7 trillion in 2026, and out-of-stocks made up 65.6% of it. Below are the metrics worth tracking, six dashboard examples, and the practices that move reorders into the dashboard.

What is an inventory management dashboard?

An inventory management dashboard is a visual view of stock levels, inventory movement, and inventory health across products and locations. It's built for the supply chain and finance teams who act on it. It draws on four kinds of systems:

• Enterprise resource planning (ERP) systems hold stock records, purchase orders, and cost data.
• A warehouse management system (WMS) tracks where stock sits and its status as goods move.
• Point-of-sale (POS) systems report sell-through.
• Suppliers and third-party logistics providers (3PLs) send electronic data interchange (EDI) on-hand reports and advance ship notices, which show supply in transit.

The dashboard joins those feeds at the stock-keeping unit (SKU) and location level and shows them against the thresholds that trigger a decision.

Key metrics for an inventory management dashboard

The most useful inventory dashboards track a small set of metrics, each tied to a decision a planner, buyer, or controller makes. Define each metric's numerator and denominator before it reaches a chart, because definitions vary across ERP systems.

Stock on hand and available to promise

Stock on hand is the quantity physically held at a location. Show unrestricted stock apart from blocked and quality-held units. Available to promise (ATP) is what can still be committed for a given date: unrestricted on-hand plus scheduled receipts minus committed orders. With 100 unrestricted units, 50 arriving by that date, and 120 committed, ATP is 30 units. Planners use on-hand for reorder calls, but customer service quotes delivery dates from ATP, so a view that shows only on-hand invites overpromising.

Inventory turnover and days of supply

Turnover is cost of goods sold (COGS) divided by average inventory. A business with $300,000 in annual COGS on $60,000 of average inventory turns five times a year, or 73 days of inventory. Days of supply looks forward instead. It's on-hand divided by average daily usage, so 600 units at 100 a day is six days.

Stockout rate and fill rate

An order-based stockout rate divides orders hit by a stockout by total orders. Track it separately for top sellers, so their stockouts get attention first. Order fill rate is the share of orders shipped complete from stock, and 97% to 98% is typically acceptable. Line fill rate counts order lines instead of whole orders: five lines with four shipped and one backordered is 80%.

Sell-through rate

Sell-through is units sold divided by units received in the same period, so 200 received and 140 sold is 70%. Track it weekly for recent pace and cumulatively for how much of the buy has cleared, which drives reorder and markdown timing. A line selling through well ahead of plan early in the season is worth a replenishment review.

Carrying cost and aged inventory

Carrying cost is annual holding cost divided by inventory value. Holding cost of $20,000 on $100,000 of inventory is 20%, inside the common 15% to 25% rule of thumb. Aged inventory groups on-hand quantity and value by each lot's receipt date, typically in 30-day buckets up to 90 days or more. Stock that's old and barely moving is likely obsolete, and the oldest bucket holds the markdown candidates.

6 Inventory management dashboard examples

The right dashboard layout depends on who acts on it. Each example pairs one user and one decision with the views behind it.

1. Stock level and reorder dashboard

The reorder view tells a planner whether to raise a replenishment requisition, expedite supply, or wait. Reorder point is daily usage times lead time, plus safety stock. At 20 units a day, a nine-day lead time, and 25 safety units, it's 205. Rank items below safety stock first, then those that have only crossed their reorder point.

2. Multi-location inventory dashboard

Transfers between sites are an allocation planner's call. Put excess and shortage side by side for each SKU. Then a distribution center with 40 days of supply and a nearby store with three stand out at a glance. A single filter for plant or material group applies to every card.

3. Inventory health and aging dashboard

Inventory managers use this view to decide what to clear, mark down, or scrap, by SKU and aging bucket. Flag items past a set inactivity window, such as 100 days without consumption, and let a click open the dead stock detail. Show each bucket's carrying cost beside its value.

4. Demand and replenishment forecast dashboard

Demand planners need forecast versus actual, mean absolute percentage error (MAPE), and bias to set forecasts and replenishment quantities. Next to those, show projected stock against minimum and maximum levels. State the bias sign convention on the chart, because tools disagree on what positive bias means.

5. Supplier and inbound shipment dashboard

Overdue purchase orders and in-transit shipments tell a buyer which suppliers to chase. Rank suppliers by on-time-in-full (OTIF) rate, which should run at 98% to 99% or better, and by average days late. A supplier that keeps missing dates on top sellers goes to the top of the call list.

6. Inventory valuation dashboard for finance

Controllers use the valuation view to pick which aged lots need a write-down. The view compares inventory value by site and period with gross margin return on investment (GMROI), which is gross margin divided by average inventory cost. A GMROI below 1.0 means the stock earned less margin than it cost. Under International Financial Reporting Standards (IFRS), a write-down can be reversed when value recovers, so track reversals too.

The limits of read-only inventory dashboards

When a dashboard is read-only and refreshed overnight, the decision itself happens somewhere else. That design runs into refresh lag, spreadsheet handoffs, and row limits first.

Extract refresh lag on stock positions

A once-a-day refresh can't show a problem that needs action the same morning. At Coastal Pet Products, a batch process kept warehouse stock levels a day behind until the company moved to a new WMS. For a SKU with six days of supply, a one-day lag hides a sixth of its remaining cover.

Spreadsheet handoffs for reorders and adjustments

Spreadsheets are still the main planning tool for many supply chain teams. A reorder then passes through an export, a formula, an email, and a manual ERP entry. Each handoff adds transcription risk, and the reasoning behind the reorder scatters across files and inboxes.

Row limits on SKU-by-location data

Excel caps a worksheet at 1,048,576 rows. A retailer with 20,000 SKUs across 60 locations has 1.2 million item-location rows in one snapshot. Pre-aggregating to SKU or region drops the location detail a transfer decision needs. Dashboards that query the warehouse directly and capture decisions in place avoid the row ceiling and the handoffs.

Inventory management dashboard best practices

The inventory dashboards that drive action share six design choices. They start from the decision, run on live data, and keep inputs, alerts, and access rules on the same data.

Build each view around a single decision

Name the decision this screen supports, then pick the few metrics that inform it. A reorder view needs on-hand, inventory position, reorder point, and days of supply, not turnover or GMROI. Move secondary metrics into a drill-down so the view fits one screen.

Run the dashboard on live warehouse data

Match data freshness to the decision. Reorder and transfer calls depend on today's receipts and picks. Land ERP, WMS, and POS data in the cloud data warehouse as often as those calls need, and query it there. Monthly valuation and aging reviews can run on a daily refresh.

Segment by location, SKU, and ABC class

Group A items typically make up 10% to 20% of SKUs and 50% to 70% of dollar volume, so they get the closest control. Set higher service-level targets for A items than for B and C items. Recalculate the classification quarterly, because seasonal items move between classes.

Set reorder thresholds that trigger alerts

Alerts keep planners on exceptions instead of routine rows. Compute the reorder point per item-location and alert only when inventory position (on-hand plus on order minus backorders) falls below it. For delivery alerts, a small tolerance, such as two days either way, stops a shipment that's one day late from firing a message.

Capture planner inputs next to the numbers

A recorded reason lets planners explain an override at the next review. The audit trail should capture who changed what, when, and why. Reason codes stored next to the changed figure keep that rationale out of emailed spreadsheets.

Govern access by location and role

A warehouse manager should see only the sites they run. Define row-level security by plant in the warehouse or the data model, so dashboards built on that data inherit it. IT sets the rules once, and planners don't manage permissions.

How Sigma enables inventory management dashboards

Those practices hold up best when the dashboard, the planner's inputs, and the alerts share one set of warehouse tables. Sigma is the AI apps and analytics platform that lets users build agentic analyses and applications directly on live cloud data warehouse data. With all three in one workbook, the reorder no longer needs an export or an email.

Live queries on SKU-level warehouse data

Most formulas, filters, and pivots in a workbook compile to SQL that runs in Databricks, Snowflake, BigQuery, or Amazon Redshift. Sigma doesn't extract source warehouse data, so no separate copy sits between the WMS feed and the planner. Queries run on the full SKU-by-location table, so a planner who can build a SUMIFS isn't stopped by a row limit. The same approach helps consolidate reporting. Saddle Creek Logistics is moving its finance team from more than 1,500 reports to a single workbook.

Input tables for reorders and stock adjustments

Planners enter reorder quantities, count adjustments, and inventory risk notes in an input table next to the metrics. Those entries write back to a separate warehouse schema, so they don't overwrite original data. An integration or API action can then push the approved quantity to the ERP. Conagra's Manav Purohit put it this way: "Sigma data apps are eliminating the boundary between data entry and data consumption."

Actions and alerts for low-stock thresholds

Sigma Actions can respond to a low-stock condition without anyone opening a spreadsheet. A scheduled action sequence, currently in beta, can check inventory position against the reorder point each morning. When an item falls below it, the sequence sends an email alert or adds a proposed reorder row to the input table. A builder can also set up a Sigma agent to draft reorder quantities, with each write held for the planner's approval in chat.

Build an inventory management dashboard with Sigma

Start with the inventory decision your team makes most often, such as reorders for fastest-moving A-class SKUs. Build the first view around it on live warehouse data, with an input table for the planner's call. Measure the time from alert to purchase order, then extend to transfers, aging, and valuation.

Sigma keeps the reorder call in the workbook where the planner sees the numbers. It delivers 321% ROI over three years. Get a demo, and bring your SKU-by-location data.