Stock by size and colour
Know what is in stock at each store across sizes, colours and styles, so nothing is oversold or missed.
Software for Fashion & Apparel Stores
Fashion retailers manage hundreds of styles across sizes, colours and brands, plan seasonal collections and move stock between stores, often with manual counts and generic billing software.
The day in a fashion store
Most POS systems treat a shirt like a packet of chips. A shirt comes in 5 sizes, 4 colours and 3 fits, and each one has to be tracked.
- No size-colour matrix: each variant is a separate SKU
- No seasonal planning or sell-through analysis
- Manual stock counts across stores
- No dead stock alerts or markdown suggestions
- Limited brand-wise margin reporting
Who it is for
- Single boutiques
- Multi-brand apparel stores
- Flagships and outlets
- Multi-city apparel chains
What the store runs every day
The jobs a fashion or apparel retailer does on the floor and in the back office.
Plan the season
Seasonal buys are planned on sell-through, catching trending styles and slow movers before they become dead stock.
Move stock between stores
Flagships, outlets and franchise locations share stock, and transfers have to be tracked.
Handle exchanges
Size exchanges, style swaps and returns have to land back in the stock count.
Reorder before festive demand
Reorders follow sell-through velocity, seasonality and festive demand.
Read margins by brand
Brand, category and store margins show which styles drive profit, not just revenue.
- Less Dead Stock
- 35%
- AI-driven reorder and seasonal planning reduces unsold inventory
- Faster Billing
- 3x
- Barcode scanning and preset size matrices speed up checkout
- Better Visibility
- 50%
- Real-time stock levels across sizes, colours, and locations
Where RetailerOS fits
Generic POS systems don't understand size matrices, seasonal collections or style-based inventory. RetailerOS, Khosha's retail operating system, handles them, with GST compliance included.
- Native size-colour-style matrix with grouped views
- Seasonal planning and demand forecasting
- Real-time multi-store inventory sync
- Dead stock alerts and markdown triggers
- Brand, category and style-level margin analytics
A day on RetailerOS
- OpeningSee stock by sizeEvery style across sizes, colours and stores, in real time.
- At the counterScan and billBarcode scanning and preset size matrices speed up checkout.
- Through the dayExchange or transferSize exchanges land back in the count; transfers between stores are tracked.
- ClosingRead the marginsBrand and style margins, with dead stock alerts and markdown triggers.
Questions from fashion retailers
Common questions about RetailerOS for fashion and apparel stores.
Yes. RetailerOS supports a full size-color-style matrix so you can track inventory at the variant level — for example, "Blue Polo T-shirt, Size L" — across all your stores. No more creating separate SKUs for each variant.
Yes. RetailerOS uses historical sell-through data to help you plan seasonal buys — Diwali, wedding season, summer collections, and end-of-season sales. AI-driven alerts flag slow movers early so you can markdown before stock piles up.
Yes. RetailerOS supports multi-store operations with real-time inventory sync, inter-store stock transfers, centralized analytics, and role-based access for store managers and staff.
RetailerOS works for both. Whether you run a single boutique or a multi-city apparel chain, the platform scales with your business. Start small and add stores as you grow — no infrastructure changes needed.
Yes. Handle size exchanges, style swaps, and returns with automated inventory adjustments. The system updates stock counts in real time across all locations so your inventory stays accurate.
Ready to Modernise Your Fashion Retail Operations?
Whether you run a single boutique or a multi-city apparel chain, RetailerOS scales with your collections and your ambition.
Better systems for a more human world.
We're a team of six engineers, designers and strategists building systems together. Every business has layers, and every engagement has taught us how they connect. We engineer software that outlives the people who built it. If something here sounds like your business, we'd be glad to talk it through.