Amazon Virtual Assistant | Product/Book Research • Listing

I use ChatGPT to enhance product research by building prompts that help me evaluate Keepa charts, filter book data, and write summaries. AI helps me work faster, stay organized, and train smarter workflows.

As a licensed teacher and online English tutor, I have strong communication skills in both written and spoken English. I’m confident writing reports, product notes, and SOPs, as well as speaking clearly and professionally during video calls or voice chats. I value respectful and clear communication, especially when working with international clients.

I specialize in book sourcing for Amazon FBA and have been actively using tools like Keepa, SellerAmp SAS, BookFinder, and Google Sheets to analyze ISBNs, review sales rank, and evaluate ROI. I’ve also trained AI prompts using ChatGPT to speed up research and decision-making. I regularly run sourcing simulations to sharpen my accuracy, interpret Keepa charts, and practice profitable sourcing strategies. While I’m still new in the field, I’m a fast learner and committed to improving every day.

I use Google Sheets for data entry, product tracking, and creating sourcing spreadsheets. I'm comfortable with basic formulas, filters, data validation, and organizing large sets of ISBN and ROI data for book sourcing tasks.

I use Notion for organizing Amazon sourcing tasks, AI prompt documentation, and personal work dashboards. I can create clean pages, link databases, and manage projects in a simple and visual way.

I use prompt engineering with ChatGPT to support Amazon book sourcing tasks. I’ve created prompts that help me analyze Keepa charts, evaluate ROI, filter profitable ISBNs, and automate repetitive research tasks. I also use AI to build systems that improve decision-making and reduce sourcing time. I'm constantly learning how to craft better prompts to increase accuracy, relevance, and speed.

I’ve been practicing online book arbitrage by sourcing from websites like BooksRun, BookFinder, and other platforms. I cross-check prices, condition, and ROI using SellerAmp SAS and Keepa. I also use Google Sheets and AI prompts to organize deals and simulate actual sourcing tasks. I'm still learning, but I practice regularly to refine my skills.

I use SellerAmp SAS to evaluate book profitability, calculate ROI, and check eligibility, BSR, competition, and demand. I combine it with Keepa and BookFinder to validate product opportunities. I've also built workflows in Google Sheets that pull SAS insights for faster sourcing. I'm still improving, but I can already analyze dozens of books per session using SAS effectively.