Building Commerce That Scales
Engineered a resilient multi-sided marketplace enabling buyers, sellers, and admins with real-time bidding, dynamic promotions, and deep operational intelligence.
The Challenge
In commerce, milliseconds and trust decide outcomes. The client needed a platform where multiple user roles could interact seamlessly—buyers discovering products, sellers managing inventory and promotions, and admins ensuring quality and preventing fraud.
Solution
The solution delivered a high-performance marketplace with sophisticated multi-actor workflows, dynamic pricing with real-time bidding, intelligent promotions engine, and behavioral recommendation system—all while maintaining sub-250ms API latency.
The Impact
The platform achieved 99.9% availability, reduced cart abandonment from 72% to 58%, increased seller activation by 25 percentage points, and improved page load times by 45% through edge optimization.
Key Challenges
Multi-actor workflow orchestration (buyer ↔ seller ↔ admin)
Dynamic pricing & bidding reconciliation with fair sequencing
Real-time promotions placement without conflict or cannibalization
Behavior-driven recommendations at scale without latency degradation
Media optimization across bandwidth and device classes
Preventing abuse: fake listings, self-bidding, cart manipulation
Our Solutions
Catalog & Listing Lifecycle
Implemented a robust workflow from draft to live, with versioning support for edits without breaking live exposure.
- Draft → Moderation Queue → Approval → Visible workflow
- Version control for listing edits
- Bulk operations for admin efficiency
- Category taxonomy management
Dynamic Pricing & Bidding Engine
Built a structured bid ledger with anti-sniping cutoff windows and automatic settlement.
- Real-time bid processing with lock periods
- Anti-sniping cutoff windows
- Automatic settlement & balance debit
- Bid expiration and fair sequencing
Intelligent Promotions System
Rule-based merchandising engine with time-based activation and conflict resolution.
- Time windows and page zone targeting
- Device-specific breakpoints
- Priority weighting and exclusivity flags
- A/B testing integration
Recommendation Layer
Event-driven recommendation system with collaborative filtering and engagement scoring.
- Real-time event ingestion (views, carts, searches)
- Similar category and collaborative signals
- Engagement recency and diversity scoring
- Personalized product ranking
System Architecture
Edge-first architecture with distributed services and intelligent caching strategy
Next.js with SSR/ISR
Cloudflare CDN with WAF
Image optimization & transforms
Edge caching with tag invalidation
Auth Service (JWT, device fingerprint)
Catalog Service (listings, versions)
Pricing & Bidding Service
Promotions Engine
Recommendation Service
Order & Payment Service
MongoDB (catalog, orders, events)
Redis (sessions, caches, rate limits)
Elasticsearch (product search)
Kafka (event streaming)
Centralized logging & tracing
Real-time metrics & alerts
Secrets vault & policy engine
Anomaly detection & fraud scoring
Data Flow Architecture
Client Layer
User Interface
API Layer
Business Logic
Data Layer
Persistence
Measurable Outcomes
Cart Abandonment
Seller Activation (30d)
Bidding Conversion
Page Load (p95)
API Latency (p95)
Fraud Detection
Technologies Used
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