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[Technical_Log]RETAIL-OS-POS
03 / 05PARTS & COMPONENTS POS SYSTEM
Parts & Components, a leading retailer in the spare parts industry, was facing a critical bottleneck: their legacy systems could not handle the complexity of 100,000+ SKUs across multiple branches. They needed a robust, offline-capable POS that could speed up counter sales and provide accurate, real-time inventory visibility.
- Role
- Lead Full Stack Engineer
- Timeline
- Ongoing (3 months)
- Team
- Solo Project (Collaborating with Client Sales Team)
- Disciplines
- Next.js / PostgreSQL / TypeScript
VIEW // RETAIL-OS-POS_PRIMARY
01
Problem Space
A fragmented, manual status quo
Parts & Components suffered from severe data fragmentation. Inventory records didn't match physical stock, and financial data was manually reconciled, leading to revenue leakage and inability to track cash flow accurately.
- 01
Data Inconsistency: Stock levels on the system rarely matched physical inventory
- 02
Disconnected Money Management: Cash flow tracking was separate from sales, causing reconciliation nightmares
- 03
Legacy system crashed during peak hours (500+ daily transactions)
- 04
No offline mode – internet outages halted all sales
- 05
Lack of detailed analytics for high-velocity items
02
Process
How the system was built
I worked directly with the sales team at Parts & Components to understand their daily friction points. This direct feedback loop led to prioritizing data integrity enforcement and integrated financial tracking.
- Decision 01
Implemented strict ACID transactions for all inventory and money movements
- Decision 02
Built a double-entry ledger system directly into the sales flow for automated accounting
- Decision 03
Selected PostgreSQL with custom indexing strategies for instant SKU lookups
- Decision 04
Designed a keyboard-first UI to allow mouse-free operation for power users
03
Delivered System
Capabilities shipped
RetailOS is a bespoke POS platform built to handle the chaos of retail. It unifies inventory and finance into a single source of truth, eliminating data variance and streamlining money management.
01
Integrated Money Management
Automated cash drawer tracking and digital payment reconciliation in real-time.
02
Data Integrity Engine
Strict validation layers ensure inventory numbers always match reality.
03
Offline Resilience
Continue selling even when the internet dies. transactions sync automatically when connection is restored.
04
Instant SKU Search
Fuzzy search algorithm returns results from 100k+ items in under 50ms.
05
Visual Analytics
Interactive dashboards for tracking top-moving parts and daily revenue trends.
04
Technical Stack
System architecture
Hybrid Cloud/Edge architecture. The frontend runs as a PWA for offline capability, interacting with a local database that syncs to the central PostgreSQL cluster via a combat-tested queue system.
- Core
- Next.js 14 · React · TypeScript · Tailwind CSS
- Data & State
- PostgreSQL · Prisma ORM · Zustand · TanStack Query
- Infrastructure
- Vercel Edge · Supabase · Redis
05
Measured Impact
What the numbers say
While still in active development, the beta rollout in the flagship branch has already shown promising results in stress tests and user feedback.
<50ms
Search Latency
100%
Offline Uptime
3x
Faster Checkout
Zero
Sync Conflicts
The speed difference is night and day. Our counter staff can finally keep up with the morning rush without the system freezing on them.
06
Retrospective
Notes for the next build
- R-01
Optimizing for offline-first requires a completely different mental model for data consistency
- R-02
Spare parts data is incredibly messy—strict validation at the ingest layer is non-negotiable
- R-03
Keyboard shortcuts are the single biggest booster of user productivity in POS systems