Scaling Multi-Channel Sales via AWS Serverless Architecture
How we transformed a fragmented manual inventory process into a high-performance, automated integration engine for a growing marketplace.
1. Overview
The client, a large-scale e-commerce aggregator, faced a critical bottleneck: managing inventory, pricing, and orders across five different marketplaces (Trendyol, Hepsiburada, Amazon, etc.) was purely manual. Every product update required 40+ minutes of manual labor, leading to frequent overselling and inconsistent pricing.
2. The Problem
- ✕Inventory desync leading to 15% cancellation rate due to out-of-stock items.
- ✕Manual SKU mapping taking 20+ hours per week of staff time.
- ✕Lack of real-time pricing strategy based on competitor movements.
3. The Solution
We developed a custom **Marketplace Integration Hub** built on a serverless event-driven architecture. The system acts as a central “brain” that synchronizes data bidirectionally between the master database and multiple marketplace APIs.
Automated Mapping
AI-powered SKU matching to link products across platforms automatically.
Real-time Sync
Sub-second inventory updates triggered by any sale or manual adjustment.
4. Architecture (AWS)
The platform utilizes a modern serverless stack to ensure zero maintenance and infinite scalability:
- > AWS Lambda: Handles API logic and sync jobs.
- > Amazon EventBridge: Orchestrates cross-platform events.
- > Supabase (PostgreSQL): Real-time data storage & auth.
- > OpenAI GPT-4: Cleans and translates product descriptions.
5. The Results
Inventory Accuracy
Manual Work / Week
Server Maintenance
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