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Retail Analytics: The Metrics That Show Inventory Risk Early

A knit sells through 70% of its stock, yet only two weeks of cover remain. A shirt has plenty of stock, but its sales are slowing. Retail analytics becomes useful when those numbers are read together, before the next intake or buying decision.

INSIDE MERCHMIX / ATLAS

Strong sales.
Read the stock too.

Compare three apparel styles across the same four weeks. Move from exact report figures to stock bars, sales trends and a cover indicator.

Atlas report illustration with a consistent apparel planning example.

AtlasReportsDashboardsmerchmix
Report library / Apparel stock signals

Apparel stock signals

Central store / four completed weeks / units

CategoryApparelLocationCentral storePeriodWeeks 1–4
Report dataRuntime filters applied
TableBar chartLine chartKPI indicator
StyleSoldStockSell-throughCover / wk
Everyday Knit703070%2
Cotton Shirt4016020%20
Straight Denim606050%4
Latest knit sales15 / weekShirt cover20 weeksDenim cover4 weeks
Use stock, sales direction and cover together before choosing the next operational action.
Reporting illustration / no stock, forecast or price change
Keep the comparison on the same basis.

One store, four completed weeks and unit measures. The report compares three apparel styles in the same scope.

THE KEY IDEA

Read the signals together: the knit’s 70% sell-through leaves two weeks of cover, while the shirt’s 160 units represent twenty weeks at its latest rate. Atlas helps keep stock, sales direction and margin in the same decision.

Strong sell-through can hide a shortage risk

Everyday Knit has sold seventy of the hundred units received over four weeks. Thirty remain. Its 70% sell-through looks encouraging, but recent sales are fifteen a week, leaving only two weeks of cover. If new supply takes three weeks, the planner needs to investigate the timing gap.

Merchmix is a connected platform for retail planning and operations. Atlas is its reporting workspace, where teams can bring sales, stock and margin into the same trading discussion. The aim is to identify the inventory question early enough to act on it, rather than wait for the sales total to fall.

Define sell-through before comparing the percentages

Sell-through is units sold divided by units received for the selected scope and period, multiplied by one hundred. In the knit example, seventy divided by one hundred gives 70%. Cotton Shirt sells forty of two hundred received units, giving 20%. Straight Denim sells sixty of one hundred and twenty, giving 50%.

These examples assume the opening available quantity is the received quantity, with no later intake, returns or transfers during the four weeks. Real reports need a consistent denominator and movement basis. A high percentage can mean a strong selling result, but it can also mean little stock remains.

Illustrative retail analytics review comparing clothing assortment photographs and unlabelled performance charts

AN APPAREL PLANNING SCENARIO

Seventy per cent sold, but only two weeks left

Everyday Knit receives 100 units and sells 70 across four weeks, leaving 30. At the latest fifteen weekly sales, that is two weeks of cover. Its $70 selling price includes a 30% discount from $100; at a $40 unit cost, gross margin is 42.9%. Check supply timing and price context together before deciding on another intake.

Illustrative situation, not a customer case study.

Put stock on hand beside the sales result

Stock on hand is the quantity held at the reporting point. The knit has thirty units, the shirt one hundred and sixty, and denim sixty. In this simplified range, received units less sold units gives the closing stock for each style.

The table view makes the contrast visible: knit sell-through is high and stock is low, while the shirt holds most of its original quantity. Before treating that stock as useful supply, check its location, size availability and the relevant inventory records. A total can conceal missing sizes or stock held in the wrong place.

Use a recent sales rate to calculate cover

Rate of sale is the number of units sold over a stated time interval. For the latest completed week, the knit sells fifteen, the shirt eight and denim fifteen. Weeks of cover is stock on hand divided by weekly unit sales, assuming that rate continues.

Thirty knits divided by fifteen gives two weeks. One hundred and sixty shirts divided by eight gives twenty weeks; sixty denim units divided by fifteen gives four. The shirt’s four-week average is ten, but its latest rate is eight. Using the average would give sixteen weeks and hide part of the recent slowdown.

Check the sales direction and the price behind it

Knit sales across the four weeks are fifteen, twenty, twenty and fifteen. The shirt moves from twelve to eleven, nine and eight; denim holds at fifteen each week. A single current total misses those different patterns. Against an assumed latest-week knit plan of twenty, fifteen actual sales represent 75% of plan.

The knit also sells at $70 after a 30% discount from $100. With a $40 unit cost, gross profit is $30 per unit and gross margin is $30 divided by $70, or 42.9%. The full-price gross margin would be 60%. A strong sell-through result therefore needs its price and margin context; it does not establish that demand will hold at full price.

FROM THE SIGNAL TO THE MERCHMIX DECISION

What to check before the next action

Inventory signals, relevant Merchmix workspaces and decisions to review
What you seeWhere to look in MerchmixThe decision to review
Knit: 70% sell-through / 2 weeks coverAtlas / scoped sales and stock reportCheck incoming supply and useful sizes against the assumed three-week lead time.
Shirt: 160 units / latest sales 8 per weekAtlas / stock table and weekly sales lineInvestigate twenty weeks of cover while weekly sales ease from twelve to eight.
Knit: $70 price / 42.9% gross marginAtlas / sales and margin contextAssess the 30% discount before treating sell-through as full-price demand.

Read the signals as combinations

The knit combines 70% sell-through, two weeks of cover and a discounted selling price. Check confirmed incoming supply, useful sizes and the assumed three-week lead time before deciding whether to replenish. Discount-led sales alone are not a reason to repeat the same order.

The shirt combines twenty weeks of cover with slowing sales. Check the remaining selling window and incoming commitments before adding stock. Denim’s four weeks of cover and steady fifteen-unit weekly sales form a different pattern; compare that position with its own supply timing rather than apply the knit’s response across the range.

Use Atlas views to keep the comparison visible

The Atlas report layout provides runtime filters and table, bar, line and KPI views. With the relevant inventory measures configured, use a table for exact quantities, bars for the stock comparison, a line chart for weekly sales and an indicator for a scoped measure such as cover. Keep the location, period and unit basis consistent as the view changes.

A saved report can be reused in a dashboard so the trading discussion starts from the same scope. In the accompanying illustration, the knit’s sell-through, stock, cover and gross margin sit together. The charts and report layouts follow Atlas; the apparel calculations explain the inventory question rather than reproduce private operational records.

atlas

Read sales, stock and profitability in the same trading context.

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retail analytics

Explore the measures behind the inventory conversation.

Explore retail analytics

Turn a report signal into a specific stock question

For the knit, the question is whether suitable supply can arrive before two weeks of stock are exhausted at the assumed rate. For the shirt, it is why sales are slowing while one hundred and sixty units remain, and whether more stock is already due. Those questions require the underlying order, stock and product evidence.

Atlas supplies the reporting context. Take the chosen question into the appropriate planning or operational workflow, confirm the current records and assign the next decision. Then compare the refreshed position with the earlier signal, so the team can see whether cover, availability or the selling assumption actually changed.

BEFORE TURNING THE SIGNAL INTO A STOCK DECISION

  1. Which product, store and period does the signal describe?
  2. Are sales and stock measures on a consistent basis?
  3. Does availability explain part of the performance?
  4. Are incoming receipts and source coverage visible?
  5. Who owns the investigation and its next confirmation?

A CLEARER NEXT STEP

Common questions

How are sell-through and weeks of cover different?

Sell-through describes the proportion sold against the received quantity for a defined scope and period. Cover estimates how long the remaining stock lasts at a stated weekly sales rate. The knit has 70% sell-through and two weeks of cover, so both measures matter.

Which sales rate should the cover calculation use?

State the basis and compare it with recent trading. The shirt averages ten weekly sales across four weeks, but its latest week is eight. Its 160 units give sixteen weeks at the average or twenty at the latest rate. The difference exposes a slowdown rather than a single fixed answer.

Does strong sell-through prove a product needs another order?

No. Check remaining stock, size availability, incoming supply, lead time and the price that supported sales. The knit’s 70% sell-through includes an assumed 30% discount, so the margin and demand basis belong in the decision.

THE COMBINED SIGNAL / ATLAS

70% sold.
Two weeks left.

The knit’s sell-through, remaining stock, recent sales and margin describe one position. Keep the figures together before choosing a replenishment or buying response.

  1. 01
    Connect sell-through and cover

    Seventy of one hundred sold; thirty remain at fifteen weekly sales.

  2. 02
    Check the selling basis

    The $70 price includes a 30% discount; gross margin is 42.9%.

  3. 03
    Check supply timing

    Compare two weeks of cover with the assumed three-week lead time.

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AtlasReportsDashboardsmerchmix
Dashboards / Apparel trading

Apparel risk dashboard

Central store / four completed weeks / units

CategoryApparelLocationCentral storePeriodWeeks 1–4
Knit sell-through70%70 sold / 100 received
Knit stock on hand30Units at period end
Knit weeks of cover2 weeksAt 15 units per week
Knit gross margin42.9%$70 price / $40 cost
Weekly sales / units
W1W2W3W4
Everyday KnitCotton ShirtStraight Denim
Knit: 2 weeks of cover / assumed supply lead time: 3 weeks. Check incoming stock and size availability.
Reporting illustration / no stock, forecast or price change
Keep the comparison on the same basis.

One store, four completed weeks and unit measures. The report compares three apparel styles in the same scope.

Atlas dashboard illustration. The reporting signal needs confirmation in the relevant stock and order records.

FROM RELATED METRICS TO A CLEAR STOCK QUESTION

See the pattern.
Ask the next question.

Read the signals together: the knit’s 70% sell-through leaves two weeks of cover, while the shirt’s 160 units represent twenty weeks at its latest rate. Atlas helps keep stock, sales direction and margin in the same decision.

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