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Dashboard Overview (what each card means)

Understand the key metrics and how to use the dashboard to decide what to do next.

Last updated: February 21, 2026

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The dashboard is designed for fast decisions: how bad is the problem, and where do I start?

Estimated time: 5–7 minutes

What you'll accomplish

  • Understand what each metric card, chart, and section tells you
  • Learn a repeatable weekly triage workflow
  • Know what "good" looks like over time (and what signals a problem)

The 4 metric cards

At the top of the dashboard you see four metric cards. Each shows the current value plus week-over-week (WoW) and month-over-month (MoM) comparison indicators with color coding: green when the metric is improving, red when worsening.

1) Frozen capital ($)

The total dollar value of inventory tied up in items currently flagged as dead stock.

  • How it is calculated: sum of (inventory on hand x cost) for all flagged variants
  • What to do with it: prioritize the most expensive inventory risk first; track whether your actions are reducing the total over time
  • Healthy trend: frozen capital going down week over week

2) Dead stock items (count)

How many variants are currently flagged.

  • What to do with it: understand your workload — "how many items need attention?"
  • Watch for: count increasing while frozen capital stays flat means you are accumulating many low-value items; count decreasing while frozen capital stays flat means high-value items remain

3) Average days without sale

A "temperature check" of how stale your dead stock list is overall.

  • What to do with it: calibrate your threshold (30/60/90 days). If the average is 150+ days, your inventory is deeply stalled and you may need deeper discounts or alternative strategies.
  • Healthy trend: average going down over time

4) Percentage of total inventory affected

What share of your total catalog is flagged as dead stock.

  • What to do with it: context for severity. 5% dead stock is manageable; 40% signals a systemic inventory problem.
  • Compare: MoM trend tells you whether the problem is spreading or contained

Aging bucket chart

A horizontal stacked bar chart showing dead stock grouped by age:

Segment Color Days without sale Typical action
0–30 days Green 0–30 Monitor only
31–60 days Yellow 31–60 Early warning, merchandising tweaks
61–90 days Orange 61–90 Start discount testing
90+ days Red 90+ Strongest clearance candidates

Each segment displays item count and dollar value.

Interactive: clicking a bucket segment filters the Dead Stock Table below to show only items in that age range. You can multi-select segments to combine ranges (e.g., 61–90 + 90+).

Best practice: start with the 90+ days segment and work backwards.

Trend line charts

Line charts (powered by Polaris Viz) showing frozen capital and dead stock count over time. You can select different time periods:

  • 7 days — see immediate impact of recent actions
  • 14 days — short-term trend
  • 30 days — monthly cadence
  • 90 days — long-term trajectory

Snapshots are generated automatically after each daily detection run (2:00 AM), so trend data builds over time.

What to watch:

  • Frozen capital trending up = you are accumulating risk faster than you are clearing it
  • Count down but frozen capital flat = you cleared low-value items, but high-value items remain (shift strategy to target expensive inventory)
  • Both trending down = your workflow is working

Category breakdown

Dead stock grouped by Shopify product type. Shows:

  • Item count per category
  • Frozen capital per category
  • Average days without sale per category
  • Percentage of total dead stock per category

Sorted by value (highest frozen capital first). Clicking a category filters the Dead Stock Table to show only items from that product type.

Use it to identify which product categories have the worst dead stock problem and tailor your discount strategy per category.

Dashboard filters

You can filter all dashboard sections simultaneously:

  • Age range — multi-select: 0–30, 31–60, 61–90, 90+ days
  • Product category — searchable dropdown of Shopify product types
  • Date range — presets: 7, 14, 30, 90 days (affects trend charts)
  • Clear all filters button to reset

Filters apply to metric cards, aging buckets, trend charts, category breakdown, and the Dead Stock Table.

  1. Check metric cards — is frozen capital trending down WoW? If not, you need to act.
  2. Click the 90+ days bucket segment in the aging chart.
  3. Sort the filtered Dead Stock Table by inventory value (highest first).
  4. Select a small batch (10–50 items).
  5. Apply discount — start at 10–20%.
  6. Check Discount History after 24–72 hours — review conversion rate and revenue recovered.
  7. Repeat weekly, working from 90+ down to 61–90.

What success looks like

After 3–4 weekly cycles:

  • Frozen capital trending down (green WoW indicator)
  • The 90+ bucket shrinking in both count and dollar value
  • Your "best-performing discount band" becoming obvious per category (visible in Discount History)
  • Average days without sale decreasing as you clear the oldest items first

Troubleshooting (symptom-first)

"Dashboard is completely empty (no metric cards, no charts)"

Likely cause: initial sales history sync is still in progress. Detection has not run yet. Fix: check System Status — wait for sync to complete, then run detection manually or wait for the 2:00 AM auto-run. How to confirm: after detection runs, all 4 metric cards populate (even if some values are zero).

"Metric cards show numbers but trend charts are empty"

Likely cause: trend charts need at least 2 daily snapshots to draw a line. If you just set up, wait 1–2 days. Fix: snapshots are created after each detection run. After 2+ runs, trend charts will populate. How to confirm: trend lines appear after the second daily detection run.

"Frozen capital seems too high / too low"

Likely cause: inventory cost data in Shopify may be incomplete or outdated. StockSweep uses the cost data Shopify provides. Fix: verify cost values for a few products in Shopify Admin → Products → Variant → Cost per item. How to confirm: the frozen capital for those specific items matches (inventory on hand x cost per item).