Case studies / Dhobi
Case study · Laundry marketplace
How do you build a marketplace that connects laundry shops to customers across India?
A multi-vendor laundry aggregator, planned from architecture to sprint breakdown before a line of code was written.
Dhobi is a laundry aggregator for India. Customers place orders and laundry vendors near them pick them up and deliver them back.
We planned the product in detail first: architecture, database design, sprint plans, Jira breakdown and a QA strategy. That gave the team a clear path to build.
A marketplace has to work for customers and for every vendor at once.
Many vendors, one experience
Each laundry has its own services, prices and hours, but customers expect a single simple flow.
Finding who is nearby
Matching an order to vendors close to the customer needs reliable location search.
Planning before building
A large product built without a plan runs over. The scope, schema and sprints had to be clear up front.
Without a clear plan and the right data design, a marketplace stalls at the first few vendors.
A detailed plan first, then a stack chosen for a location-based marketplace.
Architecture and database design
The system was designed before development started.
- Architecture documents
- Database schemas on PostgreSQL
Location search with PostGIS
Orders are matched to vendors by distance.
- Nearby vendor queries
- Built into the database layer
Apps for customers and vendors
A mobile app and a web app, backed by one API.
- Flutter mobile app
- Next.js web, NestJS and Prisma API
Sprint plan and QA strategy
The work was broken into sprints with a test plan alongside.
- Jira breakdown by sprint
- QA strategy for each release
A marketplace that is ready to be built, sprint by sprint.
Dhobi has a complete technical plan and a stack chosen for a multi-vendor, location-based product.
- Architecture, schemas and sprint plan are documented.
- Location search is part of the data design from the start.
- Work is broken into Jira sprints with a QA strategy.
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