01 / FILTERS
Slice by marketplace and period.
Choose all marketplaces, Amazon UAE or Noon UAE, then narrow by category, sub-category and a lookback window from 7 days to one year.
Saddl OS / Returns and Reviews Report
Returns and Reviews Report.
See what sits behind the returns.
The Returns and Reviews Report is a reporting view in Saddl OS. Filter by marketplace, category and period to see which SKUs are being returned, why, what happened to the returned stock and what customers said. Then decide whether the fix belongs to the product, the listing or fulfilment.
Amazon UAE and Noon UAESKU-level return ratesReasons, dispositions and comments
Find the outlier. See which SKUs have return rates that need a closer look.
See what explains it. Read recorded reasons, dispositions and customer comments.
Assign the next step. Route the issue to product, listing or fulfilment.
01 / Inside the report
What the Returns and Reviews Report shows.
Six panels, all part of the live report.
02 / HEADLINE METRICS
See the account at a glance.
Units returned, return rate, sellable rate, return cost, average rating, total reviews, top returned SKU and primary cause, each compared with the previous period.
03 / TREND AND OWNERSHIP
Track returns over time.
Daily returned units, grouped by the team most likely to own the cause: customer, logistics, manufacturing, marketing or unknown.
04 / SKU TABLE
Compare products side by side.
Returns, units sold, return rate, return cost, storefront rating, review count and a risk badge for every SKU.
05 / REASONS AND DISPOSITIONS
Read what was recorded.
Top return reasons by units and share, and what happened to returned items: sellable, defective, customer-damaged or unknown.
06 / CUSTOMER LANGUAGE
Hear the customer.
A dated feed of return comments, with recurring phrases such as “too big” or “not fit” surfaced as pain-point tags.
02 / Evidence and output
What goes in. What comes out.
The report combines return records with sales for the same SKUs and period, so a return rate always sits next to its volume.
Data the report uses
- Amazon return records: returned units, SKU, recorded reason, item disposition and return cost from the connected seller account.
- Sales for the same period: units sold by SKU and marketplace, so rates are calculated against real volume.
- Customer feedback: the comment recorded with each return, plus storefront rating and review count for each product where available.
- Noon stock ledger: customer-returned units per SKU from the Fulfilled by Noon warehouse ledger.
What the report surfaces
- Return exposure: which SKUs and marketplaces carry the most returns, rate and cost.
- Recorded causes: reason and disposition patterns, including returns with no clear cause.
- Customer language: the phrases customers repeat, so a listing or sizing issue is easier to spot.
- Next investigation: whether the question belongs to product quality, listing clarity or fulfilment.
Amazon and Noon
Clear about what each marketplace provides.
Noon does not share per-return reasons, dispositions, refund costs or customer comments. Saddl OS derives Noon return units from the Fulfilled by Noon stock ledger, marks the figure as derived and hides the panels it cannot fill, rather than estimating them.
- Amazon UAE: full reason, disposition, cost and comment detail.
- Noon UAE: derived return units and rates by SKU.
- All marketplaces: one combined view with the same filters.
03 / Decision workflow
From return signal to a prioritised investigation.
01 / COMPARE
Find the outlier
Compare return rates and volumes at marketplace and SKU level.
02 / REVIEW
Read the evidence
Check recorded reasons, item dispositions, return costs and customer comments.
03 / PRIORITISE
Name the owner
Decide whether the issue belongs to product quality, the listing or fulfilment.
04 / ACT
Review the outcome
Saddl’s team coordinates approved actions and checks the next period.
04 / Software + people
Saddl OS organises the evidence. People make the call.
Saddl OS / Returns and Reviews Report
Spot what needs investigation.
Brings return records, sales, dispositions and customer comments into one filtered view, so unusual patterns stand out from routine returns.
- Compare SKU-level metrics with the previous period.
- Keep the source and period visible on every figure.
Saddl team + brand / Managed follow-through
Decide and follow through.
Confirm the likely cause with the brand and coordinate approved listing, product or fulfilment changes.
- Verify the cause before changing anything.
- Track the action and check later return trends.
Published Saddl operating case
A real account shows why SKU-level evidence matters.
Saddl’s published UAE returns diagnostic recorded 331 Amazon returned units at a 5.6% return rate over 90 days. Reasons and dispositions changed which products needed investigating first.
Read the returns diagnostic case study331Amazon returned units in the published UAE 90-day diagnostic.
05 / Frequently asked
Questions worth asking.
What can I learn from the Returns and Reviews Report?
Which SKUs are returned most, at what rate and cost, the recorded reasons and item dispositions behind those returns, and what customers said in their return comments. Everything can be filtered by marketplace, category, sub-category and period.
Which marketplaces does the report cover?
Amazon UAE and Noon UAE. Amazon returns include recorded reasons, dispositions, return costs and return comments. Noon does not provide that detail, so Saddl OS derives Noon return units from the Fulfilled by Noon stock ledger, labels them as derived and hides the panels it cannot fill.
Does the report change listings or reply to customers?
No. Saddl OS shows the evidence. Saddl’s team and the brand agree any listing, product or fulfilment change before it is made.
Stop Guessing. Start Executing.
Which returns actually need a decision?
Review the evidence alongside SKU economics and marketplace performance. Start with a read-only account review.