Industry
Fashion
Product, stock and store systems for fashion brands that launch often. Fashion multiplies every product by size and colour, sells it through the brand website, marketplaces, stores and wholesale at once, and changes the range every few weeks. Margin is won or lost on buying the right depth, moving stock to where it sells, and keeping returns under control. Software fits across design to shelf, including the online store.
- D2C apparel and footwear brands
- Ethnic wear and saree houses
- Multi-brand retailers
- Garment manufacturers and private label suppliers
- Jewellery and accessories brands
The pressure points
What slows fashion teams down
- Size and colour explode the catalogue
- One style becomes thirty SKUs. Images, size charts and attributes have to be right on every marketplace, each with its own format.
- Stock in the wrong place
- The medium sells out online while three stores sit on unsold large sizes, and nobody sees it in time to move it.
- Returns eat margin
- Size and fit returns on prepaid and COD orders cost shipping both ways and leave stock in transit for weeks.
- Production runs on WhatsApp
- Tech packs, samples, fabric orders and job work with embroiderers and dyers are tracked in chats and notebooks.
Systems this sector runs on
The software we build and connect
Each of these can be built new, extended from what you already use, or connected to your existing ERP and accounting.
- E-commerce Store and Multi-vendor MarketplaceE-commerce and marketplaceBrand store and marketplace listings from one product catalogue, with size charts, lookbooks and stock from every location. ShopenUp fits here.
- Point of Sale and Retail OperationsPOS and retailStore billing, exchanges, alterations and endless aisle orders that ship from the warehouse or another store.
- Supply Chain and Warehouse ManagementSupply chain and WMSSize level stock across warehouse, stores and marketplaces, with pick, pack, returns grading and inter-store transfers.
- Enterprise Resource PlanningERPPurchase, job work, costing, GST and accounts, with style and size matrix built in.
- Customer Relationship ManagementCRMCustomer profiles, size history and loyalty points shared between stores and online.
- Business Intelligence and Management DashboardsBI and dashboardsSell-through, ageing by style and size, return reasons and margin by channel.
Built for this sector
Systems specific to fashion
The work that generic software does not cover, and where most of the value sits.
- Product lifecycle management
- From design brief and tech pack to sample approval, costing and production order, with versions of every spec.
- Job work tracking
- Fabric issued to cutters, embroiderers and dyers, pieces received back, wastage and payments by job worker.
- Allocation and replenishment
- Initial allocation of a new drop to stores by size curve, then replenishment from sales.
- Returns and exchange flow
- Reverse pickup, quality grading, refurbish or write-off, and restocking to the channel where it will sell.
Where AI helps
AI use cases with a clear return
Catalogue tagging and copy
Product photos are tagged for colour, neckline, sleeve, fabric and occasion, and first draft descriptions written for each marketplace.
New drops go live sooner with consistent attributes
Size and fit guidance
Suggests a size from the shopper's past purchases, returns and the garment's measurements.
Fewer size related returns
Return reason mining
Reads return comments and reviews to find styles with fit, colour or quality problems.
Problems are fixed in the next production run
Demand forecasting by size
Forecasts style and size demand from similar past styles, so buying depth matches what sells.
Less end of season discounting
Visual search
Shoppers upload a photo and see similar styles in stock.
Shoppers find a similar in-stock style and stay
What your team would see
- Sell-through, current season
- 58%
- Return rate
- 17%
- Stock older than 90 days
- ₹1.9 Cr
- Full price sales share
- 71%
Weekly sell-through of new drop (%)
Sell-through by size
- XS41
- S63
- M74
- L59
- XL38
A sample of the kind of dashboard we build for this sector. Figures are illustrative.
Connects with
- Shopify
- Marketplace seller APIs
- Unicommerce and similar OMS
- Shiprocket and courier APIs
- Tally
- Razorpay
- WhatsApp Business
- Barcode and RFID printers
Rules we design for
Typical stack
Before you start
Fashion: common questions
We are on Shopify. Do we need a custom store?
Often not. Shopify handles the storefront well. Custom work usually goes into catalogue management, stock across stores and marketplaces, job work and reporting.
Can you handle ethnic wear with unstitched and made to measure orders?
Yes. We model stitching options, measurements and tailoring status as part of the order, with the alteration or tailoring job tracked to delivery.
How accurate is AI tagging?
Good enough for a first pass on colour, pattern and silhouette. A merchandiser reviews tags before they go live, and the corrections improve later batches.
Talk to us
Working in fashion?
Tell us which process hurts most. Someone who knows the sector will reply with two or three options and rough hours.
All industriesStart a conversation
Tell us what you are trying to build.
Share the problem in a short call. You leave with a clear view of the approach, the team and the cost.
A specialist replies within one working day. The first conversation is free.