Find every product
marketplaces cannot read.

We audit attributes, imagery and size charts across your catalog, then hand back the fixes. Built on fashion, the hardest catalog there is. The same machines read footwear, beauty, grooming and home.

Catalog report · sample
Black cotton kurta, the product this sample report reads
Black Cotton Kurta
₹1,899
  • occasion: festive · evening, recovered
  • fabric: cotton, verified
  • images: 4 of 5 pass spec
  • size chart: missing
readiness64% → 96% after repair
₹300–5001
what processing one returned garment costs an Indian brand
~half2
of apparel returns come down to size and fit
₹2–5 lakh3
a traditional 100-product photoshoot, before reshoots
The audit · start here

One read finds what your listings are missing.

Machines read every product the way ranking engines do: category, occasion, materials, fit, season, color, image spec, size chart. The report shows what is missing, what we recovered, and what that costs you in filters. Fashion, footwear, beauty, grooming or home: if it has attributes and images, it reads.

Fleet report · samplesample data, format is the real deliverable
size charts present55%
occasion tagged41%
materials verified68%
images pass spec78%
gender clean99.5%
Top issues · 2,412 products read
  • 1,088 products invisible to occasion filters. The field is empty; rankers skip them.
  • 212 size charts missing where the marketplace makes them a listing gate.
  • 63 galleries fail image spec. Wrong ratio, missing back view, or watermark.
  • 12 gender conflicts across sources. Held for review, not auto-fixed.
What you upload
title: Blue Kurta Cotton
price: ₹1,899
attributes: none
Repaired
+ category · occasion · fabric
+ fit · season · color
+ size chart flagged for intake
Export-ready
attributes_myntra.csv
feed_ajio.xlsx
catalog_master.json
Files prepared per channel. Delivery integration is scoped in the pilot.
Read one product yourself · interactive samplesample data, runs in your browser
Product photo
marketplace readiness0%

Run it on your catalog: we read every live product and hand you this report, free. Email us your store link.

Keep it clean · the subscription

New drops break catalogs. We catch it before the marketplace does.

Every drop adds products, and every product can arrive missing the fields that sell it. Send a drop through before you list it, and the same read flags what a marketplace would reject or bury, before the resubmission cycle starts. On a schedule it flags what slipped, repairs what is safe to repair, and holds the rest for review. We find the problems once, then stop them coming back. The sweep machinery maintains our own live catalog every day.

Weekly sweep · samplesample data, format is the real deliverable
Catalog readiness, 12 weeks
week 1 · 71%week 12 · 94%
This week's flags
  • repaired14 new SKUs arrived without occasion tags.
  • repaired6 colors normalised from vendor codes.
  • held2 gender conflicts across sources. Never auto-fixed.
  • flagged3 galleries fail marketplace image spec.

Run it monthly: the audit becomes a subscription, and every new drop gets its pre-flight before it goes out. Every fix is traceable to its source, and nothing edits your catalog without provenance.

Size & fit · cut the returns

One body. Five brands. Five different answers.

Move the sliders. One body resolves against five real-world size charts, normalised to centimetres on an India-first spine. This mismatch is where size returns come from.

Cross-brand size resolver · interactive samplesample charts, runs in your browser
Chest98 cm
Waist88 cm
drop 10 cm build regular
Brand chartYour size
Fit-risk report · pilot output · samplesample rows, shape of the deliverable
SKUFindingRisk
KRT-104Chart conflicts with measured garment. Chest says 40, garment measures 42.HIGH
LNS-022Runs one size small against the brand block. No size-up note on the page.MED
CHN-008No inseam on the chart. Length returns concentrate here.MED

Run it on your charts: your size charts and ninety days of returns data, under NDA. We measure how much of your returns bill is size-driven before we claim we can cut it.

Also running in production

Imagery and search, from the same engine.

Image ranking and QC run inside the audit. These two run beside it: on-model imagery for drops without a studio, and search that parses what shoppers mean. The try-on output below came out of our production lane, from exactly the two photos shown and nothing else.

On-model imagery · our try-on laneone real render, replayed in your browser
Garment source: linen shirt product photo
garment
Model source: model in plain t-shirt
one model shot
Try-on output
outputwaiting
Intent search · interactive samplesample catalog, runs in your browser
The pilot

Small pilots, measured against your numbers.

Scope

Fixed scope, 4–8 weeks, one brand or one category at a time.

Evidence

Measured against your baseline, A/B tested where the surface allows it.

Integration

Days, not quarters. Feeds and exports first. Deeper integration once the pilot has earned it.

Exit

No long contracts. If the numbers don't improve, you stop, and you keep the audit and the cleaned data.

What is this worth · illustrativeruns in your browser, from published figures
Size-driven returns, per month
Processing cost of those returns
A 15% cut in size returns keeps
Traditional photography, per year
Illustrative. Uses the published figures cited below; your pilot replaces them with your measured numbers.

Start: get the free catalog report and we reply with what we would measure first.

Talk to us.

Write one line about your catalog and where it sells. We reply with what we would measure first, before any commercial conversation.

bharat@denzl.co

Denzl Labs · Bangalore · labs.denzl.co