The image attached shows an Amazon Virtual Assistant Product Research Spreadsheet created using Microsoft Excel to demonstrate skills in product research, data entry, and market analysis for Amazon FBA tasks. The spreadsheet contains organized information about different pet supplies products, including product names, ASIN, price, Best Seller Rank (BSR), estimated monthly sales, number of reviews, average ratings, competitor analysis, supplier details, product costs, shipping costs, Amazon FBA fees, total costs, net profit, and profit margins.

This dataset was carefully arranged to make product analysis and decision-making more efficient. By organizing important product research details into tables and categories, the spreadsheet allows faster comparison between products and competitors. Features such as filters, sorting, conditional formatting, and formulas help improve data accuracy and make information easier to analyze. The inclusion of supplier information, profitability calculations, and restriction checking also demonstrates attention to detail and the ability to manage product sourcing and research tasks effectively.

Creating this spreadsheet helped me practice essential Amazon Virtual Assistant skills such as product sourcing, competitor analysis, profit computation, and organized data management. These tools are especially useful for tracking product opportunities, evaluating profitability, and maintaining accurate records for e-commerce and Amazon FBA operations.