Returns Dashboard: The Charts Worth Watching Each Week

A returns dashboard for a fashion store needs only a handful of charts: return rate, reasons, returns by product and size, time to refund, and cost. Review them once a week and pick one thing to fix, instead of watching dozens of numbers.

The charts below work with a spreadsheet or any reporting tool. Fit is a common cause, so your size data, such as an AI size recommendation setup, should connect to what you see here.

Which charts are worth watching each week?

Start with these six:

1. Return rate by week. Returned orders divided by orders shipped.
2. Return reasons. Count by reason, such as too small, too big, not as described or damaged.
3. Returns by product. Which styles come back most.
4. Returns by size. Whether one size is the problem.
5. Time to refund. Days from the parcel arriving to the refund.
6. Cost of returns. Shipping, handling and unsellable stock.

Each chart should answer a question you can act on.

How do you calculate return rate?

Divide returned items by items sold in the same period, and track it weekly. Use the same definition every time so the line is comparable.

Remember that returns arrive days after the order. Compare against the right sales week, or the latest weeks will look too good.

How do you read reasons and sizes together?

Reasons tell you what shoppers say. Sizes and products tell you where. Together they show the cause.

For example, if one dress has many "too small" returns in size M, the chart may be wrong or the cut may be tight. Fix the size chart or add a fit note. The guide on writing size guides that reduce returns helps.

For the wider picture, read where fit-related returns come from.

What spreadsheet columns do you need?

One row per returned item is enough to build every chart above. Use these columns:

• Order number and order date
• Return received date and refund date
• Product name and style code
• Size and color
• Reason (pick from a fixed list)
• Condition (resellable or not)
• Refund amount and return shipping cost

A fixed list of reasons matters. If shoppers or staff type free text, "too small" and "runs small" become two separate lines, and the chart becomes hard to read.

What does a weekly review look like in practice?

Imagine the reasons chart shows "too small" rising for one dress. The size chart shows most of those returns are size M. You check the chart and find the hips range for M ends where L starts, so shoppers fall into a gap. You close the gap, add a fit note, and watch next week's chart for that dress.

That is the full loop: see a change, find the cause, make one fix, check again.

What should you do with the numbers?

Use a short weekly routine:

1. Open the dashboard on the same day each week.
2. Look for the product or size with the biggest change.
3. Read five recent return notes for that item.
4. Pick one fix: a chart, a photo, a description or a supplier check.
5. Write the fix down, and check the same chart next week.

Do not change many things at once, or you will not know what worked.

Should wholesale returns be on a separate chart?

Yes. Business buyers return for different reasons than shoppers, and mixing them hides both. See wholesale returns policy basics.

How do you plan for busy seasons?

Watch the volume chart, since returns rise after peak sales. Staffing and space matter then; see peak season returns staffing and space.

Do you need a dedicated tool?

Not at first. A spreadsheet with order, item, reason, size and refund date is enough to build all six charts. Move to a tool when the manual work takes too long.

ZeDaq.ai does not provide a returns dashboard. It provides try-on and size recommendation, which can help address the "wrong size" reasons you see here. You can start on the Free plan, which includes 3 try-ons and 3 measurements a month, and every paid plan has a 3-day free trial with no card required.

FAQs

How often should I review returns?

Weekly works for most stores. Review monthly for trends, and weekly for quick fixes.

What is a good return rate?

It depends on your category and fit needs, so compare yourself against your own past weeks. Avoid comparing against numbers without a clear source.

Which chart matters most?

Returns by product and size. It points to a specific item you can fix.

Do I need to track the cost of each return?

Yes, roughly. Add shipping, handling time and any stock you cannot resell, so you can see what a change is worth.