Ravi Patel
Data Researcher
At EveryInfra Ravi works on the SKU and price range fields for 1688.
Education
- Georgia Institute of Technology, B.S. Industrial Engineering (2012–2016)
Previous roles
- Jungle Scout (Austin) — Data Analyst → Head of Data Products (2016–2024)
Articles by Ravi Patel
- 1688 API in Claude Code: A Sourcing Agent That Checks Margin Against Yandex Market
1688 API sourcing agent in Claude Code, tested on 5 Yandex Market best sellers: 15 of 25 image hits matched, a mug kept 36% margin, data cost $0.0083 each.
- Qwen Agent MCP: a Taobao, JD and Xianyu review analyst
Attach a custom MCP server to a Qwen agent on Model Studio or Qwen-Agent, then compare one product on Taobao, JD and Xianyu with real calls and costs.
- Apify Amazon Scraper Alternative: Search, Product and Review Costs per 1,000 Rows, Measured
Apify Amazon Product Scraper lists $3–$5 per 1,000 rows. Our search cost $0.054 per 1,000. Reviews were 8–56x cheaper, but US reviews hit a login wall.
- Same Product, 9 Countries: Cross-Border Price Gap Test
We tested 3 AliExpress items in up to 9 countries, plus eBay, Amazon and Shopee. The same SKU varied 1.4x to 4.6x. Here is how to sell that as a data product.
- Building Inventory Data into a Replenishment Product: From Stockout Alerts to Purchasing Workflows
Real-time inventory involves more than a single number. This article examines how SKU and variant mapping, locations and inventory states, sales and in-transit data, replenishment recommendations, exception handling, and purchasing workflows combine to form a functional product.
- Why Amazon Price Monitoring Reports False Positives: Verifying Offer Identity First
Amazon scraping requires more than storing a single price. Using official catalogs and pricing models, this article explains how ASIN variants, sellers, shipping fees, promotional terms, stock status, and observation timestamps affect price comparison.