Make product choice feel considered
Product pages combine photography, fabric specifications, colour and size selection, fit reviews and size guides. These details help shoppers understand the garment before adding a variant to their bag.
Apparel commerce & operations
Project overviewDressy: Connect the garment and the customer journey.
DressyProduct videos
Dressy connects an apparel brand’s online shop, customer app, production floor, warehouses and retail counters. From materials and quality checks to stock allocation, orders and returns, it brings the shopping experience and the operations behind every garment into one connected platform.
The apparel commerce & operations challenge
The customer choosing a garment and the team making and delivering it are part of one operational story.
Who Dressy connects
Shopper
Explore the garment and follow the order.
Production and quality teams
Prepare and review the item.
Warehouse and retail teams
Manage allocation, movement and fulfilment.
What Dressy brings together
Shopping experience
Connect product information, variants and the order journey.
Production context
Follow the garment through preparation and quality checks.
Stock and fulfilment
Keep movements, dispatch and returns in view.
Follow the journey
01
Make and review
Prepare the item and complete the relevant checks.
02
Allocate
Move released stock into the operating channel.
03
Browse and buy
Present the garment and its variant to the shopper.
04
Fulfil and follow through
Connect dispatch, order updates and returns.
Garment and order record
Shirt
SML
Explore the workflow
An apparel software project linking product discovery with production, stock, fulfilment and returns.
Related services
Inside the build
The decisions behind the experience.
Dressy brings an apparel business into one product ecosystem. Shoppers explore garments, choose sizes and follow orders through a web storefront and Flutter app. Behind those experiences, a React portal connects manufacturing, in-house finishing, inventory, dispatch and store sales. The case study follows these implemented workflows; screenshots use demonstration data.
The design brief
Connect the garment journey to reliable availability at checkout.
The shopping experience is only as connected as the operation behind it.
The constraint
Online and physical-store stock allocations are distinct. Two concurrent purchases must not both reserve the same units, and partial reservations must not survive a failed request.
The tradeoff
Channel-aware allocations and locked reservation operations add backend complexity, but let the storefront and store workflows use explicit availability rather than assuming every unit is sellable everywhere.
Product scope
3
User experiences
Web storefront, customer app and operations portal
1
Shared backend
Catalogue, pricing, stock and orders
3
Sales channels
Web, mobile and retail counters
Separate availability by channel
Online allocation, reservations and physical-store stock are distinct. Checkout reprices and reserves stock on the server, while the movement ledger records changes. A garment on a shop floor is not casually promised to an online buyer.
Make handoffs explicit
Production stages feed an in-house workflow for tagging, quality checks and packaging. Release is a defined transition into stock. The interface presents the next action rather than asking staff to infer readiness from disconnected notes.
A workflow in practice
From the trigger to the handoff.
A representative scenario through the implemented workflow.
- 01 · The situation
A shopper chooses a garment variant and proceeds to checkout.
- 02 · The product response
The inventory service reserves against the relevant channel and eligible warehouses under a transaction; insufficient quantity rejects the reservation as a whole.
- 03 · The next step
The order can continue with reserved units while the inventory ledger retains the stock context for fulfilment.
How it is built
The structure behind the workflow.
Customer experiences
React and TypeScript power the web storefront. Flutter provides a customer app for browsing, buying and managing orders. Both use the same domain API.
Operations workspace
A separate React portal presents role-based screens for manufacturing, in-house work, inventory, orders, retail sales and reporting.
Shared domain services
Django and Django REST Framework coordinate the catalogue, server-side pricing, stock movement ledger and order transitions. Reporting uses record-based analysis; live payment integrations are outside this demonstration.
Actual product screens
The product, up close.
Product discovery and brand storytelling in the Dressy web shop.
Original product interface captures. Screens use demonstration data; visible figures are not measured customer results.
System map
Connected by design.
SYSTEM BLUEPRINT / Dressy
Select a component to exploreConnected by design.
01 The experiences
02 The shared foundation
03 What it connects
THE COMPLETE PICTURE
Shared commerce records
React web applications and a Flutter customer app share a Django API. Domain services coordinate pricing, stock movements, order transitions and permissions.
| The work | Problem addressed | With Dressy |
|---|---|---|
| Product choice | Images, sizing and fabric details scattered across channels | A structured product experience shared by web and app |
| Stock | Availability reconciled across disconnected records | Channel allocations and reservations recorded in one inventory service |
| Production handoff | Readiness passed through messages or spreadsheets | Tracked production and in-house stages before warehouse release |
| After the sale | Dispatch and return details separate from the purchase | Order-linked fulfilment and return workflows |
Delivered capability
Inside Dressy.
Dressy connects the garment’s operational journey with the customer’s shopping journey. Teams can follow the work from materials through production and quality checks to stock, sale and fulfilment, while customers use a coherent storefront and app.
Treat the garment and its variant as shared context. Good customer experiences depend on clear internal handoffs, accurate channel availability and a history that survives the sale.
Evidence & evaluation
What this case study establishes.
Inventory reservation and order services, together with the storefront and operations application structure.
This is a product engineering case study based on source code, project documentation and recorded screens. It describes implemented capabilities; customer performance gains have not been measured for this case study.
What to measure next
Suggested measures for a deployment evaluation, not reported results.
- Reservation failures by channel and variant
- Stock-ledger reconciliation exceptions
- Order-to-dispatch time and return reasons
Discuss the fit
The storefront, operations portal and mobile experience are presented as related project surfaces. Current availability and integration scope are discussed separately.