CHALLENGE
Wholesale distributors receive supplier catalogs with hundreds of thousands of UPCs in inconsistent spreadsheets, requiring days of manual lookups to identify profitable items.
SOLUTION
Engineered Scanly, a high-throughput catalog scanner powered by Python, Django REST Framework, VueJS, Redis, RabbitMQ, and Docker that matches barcodes, analyzes live marketplace buy-box prices, calculates FBA fees, and predicts sales velocity.
Key Features
Bulk Analyze of wholesale product lists for profit and ranking insights
Real-time retrieval of Amazon product data: Sales Rank, Buy Box, FBA/FBM net profit
Auto-calculated ROI and profit margin
ASIN/brand restriction checks and Hazmat warnings
Small & Light eligibility indicator
Product detail view with complete analysis breakdown
TECH STACK
Vue.jsPythonDjangoDjango REST Framework (DRF)PostgreSQLRedisRabbitMQDocker
INTEGRATIONS
- Amazon SP-API – Pricing, fee estimation, eligibility, and brand restrictions
RESULT
Sourcing Efficiency Scaled 10x
