Best AI tools for< Amazon Fba Seller >

SmartScout is a powerful Amazon FBA product research software designed to help grow wholesale, arbitrage, and private label businesses. It provides valuable insights and data to make informed decisions, increase revenue, improve ad efficiency, and discover new opportunities on Amazon. With features like Ad Spy, AI Listing Architect, FBA Calculator, Keyword Detective, and Seller Tools, SmartScout offers a comprehensive solution for Amazon sellers and service providers. The platform also includes resources such as industry reports, a blog, and a university to help users leverage its tools effectively.

Amazon Web Services (AWS) is a comprehensive, evolving cloud computing platform from Amazon that provides a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. With AWS, you can use as much or as little of its services as you need, and scale up or down as required with only a few minutes notice. AWS has a global network of regions and availability zones, so you can deploy your applications and data in the locations that are optimal for you.

Amazon Science is a research and development organization within Amazon that focuses on developing new technologies and products in the fields of artificial intelligence, machine learning, and computer science. The organization is home to a team of world-renowned scientists and engineers who are working on a wide range of projects, including developing new algorithms for machine learning, building new computer vision systems, and creating new natural language processing tools. Amazon Science is also responsible for developing new products and services that use these technologies, such as the Amazon Echo and the Amazon Fire TV.

Amazon Bedrock is a cloud-based platform that enables developers to build, deploy, and manage serverless applications. It provides a fully managed environment that takes care of the infrastructure and operations, so developers can focus on writing code. Bedrock also offers a variety of tools and services to help developers build and deploy their applications, including a code editor, a debugger, and a deployment pipeline.

Amazon SageMaker Python SDK is an open source library for training and deploying machine-learned models on Amazon SageMaker. With the SDK, you can train and deploy models using popular deep learning frameworks, algorithms provided by Amazon, or your own algorithms built into SageMaker-compatible Docker images.

Amazon Q in QuickSight is a generative BI assistant that makes it easy to build and consume insights. With Amazon Q, BI users can build, discover, and share actionable insights and narratives in seconds using intuitive natural language experiences. Analysts can quickly build visuals and calculations and refine visuals using natural language. Business users can self-serve data and insights using natural language. Amazon Q is built with security and privacy in mind. It can understand and respect your existing governance identities, roles, and permissions and use this information to personalize its interactions. If a user doesn't have permission to access certain data without Amazon Q, they can't access it using Amazon Q either. Amazon Q in QuickSight is designed to meet the most stringent enterprise requirements from day one—none of your data or Amazon Q inputs and outputs are used to improve underlying models of Amazon Q for anyone but you.

CopyMonkey is an AI-powered Amazon listing optimization tool that helps sellers create optimized listings in seconds. The tool uses AI to generate keyword-optimized bullet points and descriptions, analyze competitor listings, and suggest listing improvements based on sales results. CopyMonkey is used by over 1000 sellers and has been proven to help sellers increase their sales.

Sellozo is an AI-driven automation platform designed to optimize Amazon advertising and boost sales. It offers a range of features such as AI Technology, Dayparting, Campaign Studio, Autopilot Repricer, and more. Sellozo provides flat-fee pricing without long-term contracts, helping users increase ad profit by an average of 70%. The platform leverages AI to automate advertising strategies, lower costs, and maximize profits. With Campaign Studio, users can easily design and refine their PPC campaigns, while the full PPC management service allows businesses to focus on growth while Sellozo handles advertising. Powered by billions of transactions, Sellozo is a trusted platform for Amazon sellers seeking to enhance their advertising performance.

VAPA is an AI-powered Amazon PPC tool that helps businesses optimize their Amazon advertising campaigns. It leverages deep reinforcement learning algorithms to maximize campaign performance and increase sales. VAPA offers fully automated ad management, strategic growth insights, and expert campaign optimization across multiple Amazon marketplaces. The tool is designed to streamline the advertising process, save time, and improve overall efficiency in managing Amazon ads.

Zon.Tools is an AI-powered platform designed for Amazon Sellers and Amazon Merch on Demand. It offers automated PPC campaign optimization to boost sales and profitability while saving time. The platform leverages proprietary A.I. technology to continuously optimize PPC campaigns, create powerful campaigns, and maximize exposure on Amazon. Zon.Tools is a comprehensive solution for Amazon Sellers, providing features such as Sponsored Display, Sponsored Brand, and Sponsored Product Ads, in-listing advertising, and smart automation for PPC management.

Push Lap Wholesale is a powerful Amazon wholesale sourcing tool that helps you find profitable products, save time, and hit your targets. With 97% matching accuracy, you can quickly scan your bulk price lists and never miss a potential profitable product. Our world-class platform provides you with detailed product information, including Keepa charts, historical averages, profit calculations, variation data, competition analysis, and multipack adjustments. You can also create and manage suppliers' purchase lists, export them as CSV files, and get the total cost and profit of each list. Additionally, we provide you with 500+ auto-ungate ASINs for free and access to a list of over 4,000 vetted and verified distributors with contact details.

ReviewGPT is an AI-powered tool that helps users analyze Amazon products and reviews to make informed purchasing decisions. It utilizes AI to identify counterfeit products, pirated books, fake reviews, unreliable third-party sellers, and products with potential safety or health risks. By leveraging ReviewGPT, users can save time and money while ensuring they purchase genuine and high-quality products from Amazon.

ProductListing.AI is an AI-powered tool that helps Amazon sellers create, optimize, and enhance their product listings. It uses advanced algorithms to analyze listings, identify target audiences, and optimize content for higher conversions and sales. With ProductListing.AI, sellers can generate product listing copies in seconds, ensuring that their listings are compelling and captivating, driving higher conversions and boosting sales.

This website offers a variety of AI-powered tools and resources to help users with a variety of tasks, including video generation, transcription, image upscaling, and resume writing. The website also provides access to AI-generated images and Midjourney prompts.

RankPress.io is a SaaS platform that utilizes ChatGPT/OpenAI artificial intelligence to power WordPress 'Google Snippets + PAA' and WooCommerce 'Amazon Affiliate Autoblog'. It offers a range of features for creating unique and engaging content, including the ability to scrape Google search result snippets, PAA Questions & Answers, and Amazon product data. With its advanced AI capabilities, RankPress.io helps users automate content creation, improve SEO rankings, and drive traffic to their websites.

Content Robot is an AI-powered content and image generator that helps users create high-quality, SEO-optimized content for their websites, blogs, and social media. The tool offers a wide range of templates and features to help users generate unique and engaging content quickly and easily. Content Robot is also affordable and easy to use, making it a great option for businesses of all sizes.

PlaylistAI is an AI-powered music playlist generator that allows users to create personalized playlists based on their preferences and descriptions. With its advanced AI algorithms, PlaylistAI can generate playlists for any occasion, mood, or activity. Users can simply enter a prompt describing the type of music they want to listen to, and PlaylistAI will create a custom playlist that matches their request. The app also offers a variety of features such as smart suggestions, the ability to turn any thought into a playlist, and the ability to revisit favorite music. Additionally, PlaylistAI provides unique music discovery experiences such as instant playlists for music festivals, the ability to identify songs in TikTok videos, and the ability to blend genres together.

Zyng AI is a revolutionary bulk image editing automation tool that leverages sophisticated AI models to automate complex image editing tasks. It allows users to edit thousands of images in minutes, streamlining workflows and empowering creative teams to focus on higher-level visual pursuits. With features like subject-aware cropping, body-aware cropping, social media resizing, e-commerce resizing, portrait retouching, and custom cataloguing, Zyng AI is a versatile tool suitable for various industries such as e-commerce, marketing, advertising, photography, and graphic design. The tool offers different pricing tiers to cater to different project sizes and needs, making it accessible to freelancers, small businesses, and enterprise-level users. Zyng AI aims to transform the way mass photo editing is done, providing users with a seamless and efficient editing experience.

Platoria is an AI application that provides AI review summaries for products based on thousands of reviews from vendors worldwide. It condenses reviews into easily digestible summaries, offering actionable insights and boosting customer trust and sales for Shopify stores. Platoria's lightweight and snappy design works with all themes without slowing down the site, making it a valuable tool for e-commerce businesses looking to enhance their product reviews and increase sales.

Interview.study is an AI-powered interview preparation platform that helps candidates practice real interview questions asked by top companies. The platform provides users with instant feedback on their responses, helping them identify areas for improvement and develop stronger answers. Interview.study also offers a variety of features to help candidates prepare for their interviews, including a database of interview questions, a mock interview tool, and a resume builder.

This directory contains samples for a QA chain using an AmazonKendraRetriever class. For more info see the samples README. Note : If you are using an older version of the repo which contains the aws_langchain package, please clone this repo in a new location to avoid any conflicts with the older environment. We are deprecating the aws_langchain package, since the kendra retriever class is available in LangChain starting v0.0.213.

Repository for training and deploying Generative AI models, including text-text, text-to-image generation, prompt engineering playground and chain of thought examples using SageMaker Studio. The tool provides a platform for users to experiment with generative AI techniques, enabling them to create text and image outputs based on input data. It offers a range of functionalities for training and deploying models, as well as exploring different generative AI applications.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

A sleek and powerful macOS client for Amazon Bedrock, bringing AI models to your desktop. It provides seamless interaction with multiple Amazon Bedrock models, real-time chat interface, easy model switching, support for various AI tasks, and native Dark Mode support. Built with SwiftUI for optimal performance and modern UI.

This repository provides a sample solution for building generative AI agents using Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain. The solution creates a generative AI financial services agent capable of assisting users with account information, loan applications, and answering natural language questions. It serves as a launchpad for developers to create personalized conversational agents for applications like chatbots and virtual assistants.

This repository contains sample code demonstrating various use cases leveraging Amazon Bedrock and Generative AI. Each sample is a separate project with its own directory, and includes a basic Streamlit frontend to help users quickly set up a proof of concept.

This repository provides sample applications and tutorials to showcase the power of Amazon Bedrock with Python. It helps Python developers understand how to harness Amazon Bedrock in building generative AI-enabled applications. The resources also demonstrate integration with vector databases using RAG (Retrieval-augmented generation) and services like Amazon Aurora, RDS, and OpenSearch. Additionally, it explores using langchain and streamlit to create effective experimental applications.

This repository contains sample code for hands-on exercises related to the book 'Amazon Bedrock 生成AIアプリ開発入門'. It allows readers to easily access and copy the code. The repository also includes directories for each chapter's hands-on code, settings, and a 'requirements.txt' file listing necessary Python libraries. Updates and error fixes will be provided as needed. Users can report issues in the repository's 'Issues' section, and errata will be published on the SB Creative official website.

The AWS Lex Web UI is a sample Amazon Lex web interface that provides a chatbot UI component for integration into websites. It supports voice and text interactions, Lex response cards, and programmable configuration using JavaScript. The interface can be used as a full-page chatbot UI or embedded as a widget. It offers mobile-ready responsive UI, seamless voice-text switching, and interactive messaging support. The project includes CloudFormation templates for easy deployment and customization. Users can modify configurations, integrate the UI into existing sites, and deploy using various methods like CloudFormation, pre-built libraries, or npm installation.

The serverless-rag-demo repository showcases a solution for building a Retrieval Augmented Generation (RAG) system using Amazon Opensearch Serverless Vector DB, Amazon Bedrock, Llama2 LLM, and Falcon LLM. The solution leverages generative AI powered by large language models to generate domain-specific text outputs by incorporating external data sources. Users can augment prompts with relevant context from documents within a knowledge library, enabling the creation of AI applications without managing vector database infrastructure. The repository provides detailed instructions on deploying the RAG-based solution, including prerequisites, architecture, and step-by-step deployment process using AWS Cloudshell.

This repository showcases how to deploy generative AI models from Amazon SageMaker JumpStart using the AWS CDK. Generative AI is a type of AI that can create new content and ideas, such as conversations, stories, images, videos, and music. The repository provides a detailed guide on deploying image and text generative AI models, utilizing pre-trained models from SageMaker JumpStart. The web application is built on Streamlit and hosted on Amazon ECS with Fargate. It interacts with the SageMaker model endpoints through Lambda functions and Amazon API Gateway. The repository also includes instructions on setting up the AWS CDK application, deploying the stacks, using the models, and viewing the deployed resources on the AWS Management Console.

aiobotocore is an async client for Amazon services using botocore and aiohttp/asyncio. It provides a mostly full-featured asynchronous version of botocore, allowing users to interact with various AWS services asynchronously. The library supports operations such as uploading objects to S3, getting object properties, listing objects, and deleting objects. It also offers context manager examples for managing resources efficiently. aiobotocore supports multiple AWS services like S3, DynamoDB, SNS, SQS, CloudFormation, and Kinesis, with basic methods tested for each service. Users can run tests using moto for mocked tests or against personal Amazon keys. Additionally, the tool enables type checking and code completion for better development experience.

This repository contains reference architectures and test cases for distributed model training with Amazon SageMaker Hyperpod, AWS ParallelCluster, AWS Batch, and Amazon EKS. The test cases cover different types and sizes of models as well as different frameworks and parallel optimizations (Pytorch DDP/FSDP, MegatronLM, NemoMegatron...).

ai-apps is a collection of browser extensions that enhance various AI-powered services like Amazon shopping, Brave Search, ChatGPT, DuckDuckGo, and Google Search. These extensions provide functionalities such as adding AI answers to search engines, auto-clearing ChatGPT query history, auto-playing ChatGPT responses, keeping ChatGPT sessions fresh, and more. The repository offers tools to improve user experience and interaction with AI technologies across different platforms and services.

This repository is part of Intelligent Document Processing with AWS AI Services workshop. It aims to automate the extraction of information from complex content in various document formats such as insurance claims, mortgages, healthcare claims, contracts, and legal contracts using AWS Machine Learning services like Amazon Textract and Amazon Comprehend. The repository provides hands-on labs to familiarize users with these AI services and build solutions to automate business processes that rely on manual inputs and intervention across different file types and formats.

This repository provides guidance on building a multi-tenant SaaS solution for accessing foundation models using Amazon Bedrock and Amazon SageMaker. It helps enterprise IT teams track usage and costs of foundation models, regulate access, and provide visibility to cost centers. The solution includes an API Gateway design pattern for standardization and governance, enabling loose coupling between model consumers and endpoint services. The CDK Stack deploys resources for private networking, API Gateway, Lambda functions, DynamoDB table, EventBridge, S3 buckets, and Cloudwatch logs.

MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.

This repository is a sample chatbot using the Anthropic company's LLM Claude, one of the foundational models provided by Amazon Bedrock for generative AI. It allows users to have basic conversations with the chatbot, personalize it with their own instructions and external knowledge, and analyze usage for each user/bot on the administrator dashboard. The chatbot supports various languages, including English, Japanese, Korean, Chinese, French, German, and Spanish. Deployment is straightforward and can be done via the command line or by using AWS CDK. The architecture is built on AWS managed services, eliminating the need for infrastructure management and ensuring scalability, reliability, and security.

GPT Home is a project that allows users to build their own home assistant using Raspberry Pi and OpenAI API. It serves as a guide for setting up a smart home assistant similar to Google Nest Hub or Amazon Alexa. The project integrates various components like OpenAI, Spotify, Philips Hue, and OpenWeatherMap to provide a personalized home assistant experience. Users can follow the detailed instructions provided to build their own version of the home assistant on Raspberry Pi, with optional components for customization. The project also includes system configurations, dependencies installation, and setup scripts for easy deployment. Overall, GPT Home offers a DIY solution for creating a smart home assistant using Raspberry Pi and OpenAI technology.

This repository provides code to deploy a chatbot powered by Multi-Model and Multi-RAG using AWS CDK on AWS. Users can experiment with various Large Language Models and Multimodal Language Models from different providers. The solution supports Amazon Bedrock, Amazon SageMaker self-hosted models, and third-party providers via API. It also offers additional resources like AWS Generative AI CDK Constructs and Project Lakechain for building generative AI solutions and document processing. The roadmap and authors are listed, along with contributors. The library is licensed under the MIT-0 License with information on changelog, code of conduct, and contributing guidelines. A legal disclaimer advises users to conduct their own assessment before using the content for production purposes.

Asesor experto en Amazon FBA, al estilo de Jeff Bezos

Expert in Amazon selling, providing precise guidance on various Amazon-related issues.

A role-play enabled Amazon/AWS interview coach specializing in STAR format and Leadership Principles.

Expert in Amazon PRFAQs, providing strategic advice and document editing.

Guides on Amazon Bedrock setup and use

I assist with creating optimized listings for Merch by Amazon.

Amazon product shopping search, conveniently query products, get discounts and discounted products more quickly.

Structures Amazon Merch on Demand listings with SEO-optimized, focusing on design appeal and marketability. Upload design to begin.

Amazon Product Listing Optimisation.

最新トレンドを調査し、表紙をJPGまたはPNGでダウンロード可能にするAmazon Kindle出版支援ゴーストライター

Bilingual translator for Amazon, Chinese to 50 languages.

A no-nonsense gift recommender with direct Amazon links.

Adds seller and brand info to Amazon ASIN data tables.

A guide for sellers on Amazon.

Teaching and applying Bezos' insights through his letters to shareholders at Amazon

I write detailed, engaging Amazon product reviews based on your points.

Allegro, Amazon, AliExpress - Expert in dropshipping and online sales, offering tailored and trust-building product descriptions.

Expert in various online reselling platforms. Reseller Buddy is trained on tons of data about reselling. eBay, Amazon, Etsy, Poshmark and more. Please consider rating Reseller Buddy if you find any value in it.

Connect your Spotify, Apple Music, Amazon Music, or Deezer account to create music playlists in your library.

A powerful and multilingual music identifier for Spotify Wrapped, Amazon Music, YouTube, TikTok by listening to your songs or scanning playlists from screenshots.