Real-time Amazon sales monitoring using scraper + Python pipeline

Real-time Amazon sales monitoring using scraper + Python pipeline targets a $6.0B = 2,000,000 Amazon sellers x $3,000 ACV (global addressable SaaS analytics spend) total addressable market with medium saturation and a year-over-year growth rate of 12% (e-commerce analytics SaaS & seller tool growth).

Key trends driving demand: Marketplace growth -- more sellers and SKUs increase demand for real-time competitive intelligence and inventory/ads optimization.; AI-enabled demand forecasting -- modern models can convert rank/price/stock signals into probabilistic sales estimates usable in operations.; Serverless/cloud scraping -- lower engineering cost and faster iteration for real-time data pipelines.; Shift to performance-led commerce -- sellers need near-instant signals to tune PPC and replenishment..