Alexa for Shopping vs FindGPT

Alexa for Shopping is an AI shopping assistant in the Amazon Shopping app and on Amazon.com, available to U.S. customers. It answers shopping questions, recommends products, and compares selected items by features, prices, and reviews. Customers can view price history for up to a full year on hundreds of millions of products in Amazon’s store. Scheduled Actions can research products and send notifications or add items to a cart once or on a recurring basis. Other tools include photo-based visual search, package tracking, order-status checks, price alerts, and Auto Buy at a set price. Shop Direct surfaces products from stores across the web; Buy for Me can purchase eligible products using a customer’s primary address and credit card. Shopping context can carry across Amazon’s site and app and several Alexa devices and apps. Alexa+ customers can browse and shop the full Amazon store on Echo Show using voice, touch, or both. The service is free for signed-in Amazon customers; Prime is not required. Customers can review and manage Alexa interactions, including shopping conversations, on Review Alexa History.

FindGPT is a free iPhone app for identifying products shown in social media and finding where to buy them. On Instagram, users can tag @FindGPT in a comment or send it a post by direct message. They can also upload screenshots or paste product links. FindGPT identifies products in social content and returns purchase locations, current pricing and availability. If an original item is unavailable or too expensive, it surfaces alternatives with a matching style and aesthetic. Users can save and track items, compare originals with alternatives, and, according to the listing, check out directly from a social feed. The app requires iOS 15.1 or later and is sold by TUNL Inc. Its Free plan costs nothing. FindGPT supports visual search and product comparison across the web, but does not provide price tracking or price history. Privacy disclosures say photos or videos and user IDs may be linked to users.