11. Dynamic Pricing & Competitive Intelligence Engine
Overview
Architected a high-throughput competitive intelligence and dynamic pricing engine allowing e-commerce retail enterprises to monitor price shifts across competing storefronts and automatically recalculate optimal product prices. Built distributed web harvesting infrastructure utilizing Python, Scrapy, and Selenium with automated proxy rotation, user-agent spoofing, and rate-limiting policies to extract real-time pricing, stock availability, and shipping costs. Engineered SKU normalization algorithms resolving heterogeneous vendor nomenclature into standardized canonical catalog entries. Formulated a configurable rules engine in Python evaluating inventory depth, wholesale cost floors, competitor margins, and demand elasticity to recommend pricing actions in real time. Implemented asynchronous task orchestration with Celery and Redis, exposing REST API endpoints and webhooks that fed automated price updates directly into merchant ERP and inventory management platforms.
Challenge
Retail and e-commerce clients faced intense price volatility across digital marketplaces and competing storefronts. Relying on manual price audits caused delayed responses, lost sales rank, and compressed profit margins when competitor discounts went unnoticed.
Approach
- Architected a distributed data harvesting platform utilizing Scrapy, Selenium, and proxy rotation to extract pricing, shipping, and availability data across competitor sites.
- Engineered automated SKU normalization algorithms mapping heterogeneous vendor naming conventions and product attributes into a unified canonical catalog.
- Designed an algorithmic pricing rules engine incorporating inventory levels, minimum margin thresholds, and market demand elasticity to compute optimal price recommendations.
- Developed asynchronous Celery task queues backed by Redis and PostgreSQL with REST webhooks feeding price updates directly into merchant ERP catalogs.
Outcome
Automated competitive intelligence across tens of thousands of active SKUs, cutting price-adjustment latency from days to under thirty minutes and boosting both sales velocity and preserved margin.