Background & Context
AutoApp Backend operates in marketplace api. Before this build, teams relied on fragmented tools and manual coordination that slowed delivery, limited visibility, and made scaling harder as demand grew.
The Challenge
A Pakistan car marketplace needed sub-second faceted search, dealer verification, fraud prevention, and infrastructure that scales.
Our Approach
NestJS modular monolith with PostgreSQL, Redis caching, Elasticsearch faceted search, and Docker Compose for production parity.
Discovery & architecture
We mapped stakeholders, workflows, and constraints for AutoApp Backend, then defined a pragmatic architecture that balanced speed-to-market with long-term maintainability.
Iterative build & integration
NestJS modular monolith with PostgreSQL, Redis caching, Elasticsearch faceted search, and Docker Compose for production parity.
Hardening & launch
We validated performance, security, and operational readiness before go-live—documenting handoffs so internal teams could own the platform after launch.
What We Delivered
- Production-ready API scaffold for millions of listings—delivered as part of a structured rollout with stakeholder sign-off.
- Elasticsearch auto-sync with nightly reindex fallback—delivered as part of a structured rollout with stakeholder sign-off.
- CNIC and dealer verification pipelines built in—delivered as part of a structured rollout with stakeholder sign-off.
Outcomes & Impact
- Production-ready API scaffold for millions of listings
- Elasticsearch auto-sync with nightly reindex fallback
- CNIC and dealer verification pipelines built in
Together, these outcomes gave AutoApp Backend a clearer operating model: faster execution, better visibility for leadership, and a technical base that supports the next phase of growth.
Technology Stack
Services Delivered
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