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FICAITION · case file · fashion-ecommerce-transformation.case

From 45 Hours of Manual Work Per Week to Running on Autopilot

41hrs Saved per week
Ecommerce · Operations · Automation
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OWNED BY CLIENT
fashion-ecommerce-transformation.case● LIVE
› CLASSEcommerce
› STATUSSHIPPED
› OUTCOME41hrs
› OWNERSHIPCLIENT
› SOURCEFICAITION STUDIO · DXB
── THE SITUATION

Where it started.

A fashion retail brand operating across Shopify, Amazon, and Noon was drowning in operations. The founder and two staff spent about 45 hours per week on manual inventory syncing, order processing, pricing updates, and cross platform listings. Margins were getting eaten alive, sitting at 12% and declining because every minute spent on operations was a minute not spent on sourcing and marketing.

They'd tried Zapier style automations. Broke constantly. They'd tried a freelancer who built a custom script. It worked for 3 weeks and then nobody could maintain it.

── WHAT WE BUILT

The build.

An integrated operations platform connecting all three storefronts with centralized inventory management, automated pricing rules, synchronized order processing, and real time margin tracking across every channel.

Not a plugin. A custom system tailored to their exact workflow, handling the specific edge cases that off the shelf tools can't, like Noon's category specific commission structures and Amazon's FBA split calculations.

Connected everything to an ERPNext instance for financials, stock management, and supplier ordering, turning three disconnected sales channels into one unified business view.

── THE RESULTS

The numbers.

Weekly manual operations
~4 hours (reviews + exceptions)
from 45 hours
Profit margins
18.2%
from 12%
Revenue growth (6 months)
+35%
from Flat
Pricing errors per month
<1
from 15-20
Stock out incidents
1-2/month
from 8-12/month
Time to list new product (3 channels)
22 minutes
from 3-4 hours
── WHAT MADE THIS WORK

The decisions behind it.

, 01/ 03

We didn't start with the tech. We sat with their team for a full day, watched them work, mapped every manual step. Found that 70% of their time went into 3 tasks. Those became automation priority one.

, 02/ 03

Built with ERPNext as the backbone. When they're ready to add B2B wholesale or new channels, the system expands without a rebuild.

, 03/ 03

Trained their team to handle exceptions themselves. We built tools people can use, not black boxes they depend on us for.

── WHAT WE'D DO DIFFERENTLY

We automated the inventory sync before fully understanding their supplier data format. First week had 30+ SKU mismatches that required manual cleanup. We fixed the data pipeline, but the client lost about 2 days of accurate stock data. On the next implementation, we now run a 48 hour parallel test before cutting over. We also focused on operational automation first and deferred the customer facing experience improvements. Revenue went up because margins improved, but the frontend is still the original design.

Fashion brand positioning across the multi channel stack Visit nerdsey.com →Multi channel retail operations and inventory backbone Visit osforbiz.com →

Client details anonymized under NDA. Detailed case studies with metrics available on request.

YOUR BUILD NEXT

Ready for results like these?

Tell us what is costing you money. We will show you what we would build to fix it.

↳ Other operators we worked alongside on this engagement

Cross-operator engagements happen when a client's scope spans more than one specialty. Each operator delivers their own scope independently.