Best AI tools for< Analyze Product Data >

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.

AdGen AI is an AI-powered creative generator that helps businesses create high-performing ad copy and visuals for multiple ad channels. It uses machine learning models to analyze product data and generate a variety of ad creatives that are tailored to the target audience. AdGen AI also allows users to publish ads directly from the platform, making it easy to launch and manage ad campaigns.

June is a product and customer analytics software designed for B2B SaaS companies. It integrates with popular CRMs like Salesforce and HubSpot to help product, customer success, and sales teams better understand customer behavior and drive growth. June provides automated reports, no-code metric creation, and success playbooks to enhance user experience and increase customer retention. Trusted by numerous B2B SaaS companies, June offers a comprehensive solution for analyzing product usage data and improving customer interactions.

Sku Fetch is a powerful tool that helps you fetch, prepare, and list product information from hundreds of suppliers. It provides multiple free templates, helps you find keywords, and can even add UPCs to your products. With Sku Fetch, you can also analyze your competition, add reviews to your listings, and process multiple products with preset settings. Plus, it supports multiple listers, such as Wise Lister, Crazy Lister, eBay Selling Manager, Ink Frog, Shopify, and others.

Deepform is a customer feedback portal software that allows software teams to capture, organize, and analyze product feedback in one place. It helps teams build products that their customers love by providing a platform for customers to share ideas, vote on features, and engage in discussions.

ViableView is an AI-powered market and product data analytics tool that helps entrepreneurs identify profitable products and niches. By collecting and analyzing market data, the tool provides indication metrics such as opportunity score, competition score, and profit margins to guide investment decisions. ViableView uses viability simulations to turn messy market data into actionable insights, enabling users to make informed choices about product advertising and market strategies. The tool offers features like real-time tracking of market trends, market overview insights, and data projections based on industry KPIs. ViableView is suitable for digital products, physical products, SaaS, and real estate markets, providing comprehensive data aggregation and market analysis for each sector.

tak.chat is an AI-powered assistant designed to resolve 70% of support questions for e-commerce stores. It offers 24/7 sales automation through a GPT-4o assistant that is seamlessly integrated into Shopify and WooCommerce platforms. The tool provides instant answers to customer queries, access to live store data, hassle-free setup, and complete control over the store's intelligence. With real-time store integration, users can sync product details, track orders, automate policy-related queries, and tailor the assistant to their store's unique needs. Additionally, tak.chat offers analytics for data-driven decisions to enhance customer interactions and business outcomes.

Parker.ai is an intelligent platform that helps product teams capture and action their conversations, wherever they are. By integrating with popular communication and collaboration tools, Parker.ai surfaces what matters most, empowering product teams to concentrate on strategic thinking, influencing stakeholders, and engaging directly with users. Parker.ai's advanced analysis capabilities transform qualitative data into actionable quantitative insights, providing product teams with a deeper understanding of customer needs and pain points. This enables teams to make better decisions, create stronger roadmaps, and ultimately build better products.

Hogwarts AI empowers users to effortlessly build dashboards and unlock valuable data insights without the need for SQL or complex data analytics tools. Trained on a vast repository of queries and patterns, Hogwarts AI seamlessly transforms product data into intuitive charts and summaries. Its diverse data integration capabilities allow for effortless connection to various sources, including Postgres, Snowflake, Salesforce, Stripe, and even Excel tables. The AI Copilot feature enables users to create visually compelling charts with text in minutes, eliminating the need for SQL and DAX queries. Hogwarts AI also provides intelligent chart recommendations to facilitate deeper insights and enables the generation of shareable charts for product documentation and executive reviews.

Turtle is an AI-powered customer service chatbot that offers a comprehensive CRM platform for businesses. It enables teams to cover the entire customer journey, collaborate seamlessly, and manage various tasks such as live chat, support tickets, sales funnel, and product analytics on a single platform. With features like secure data storage, cost reduction, and improved customer retention, Turtle aims to streamline customer service operations and enhance user experience.

Lancey is an AI copilot for product teams that leverages customer feedback, CRM, and product analytics data to assist in building innovative ideas. It provides insights on themes, sentiment, and feature areas impacted by feedback, enabling continuous product discovery without manual effort. With integrations for data collection and analysis, Lancey helps product teams make better decisions and drive new ARR. The application is praised by product leaders for its ability to surface valuable insights and streamline product development processes.

Prelaunch.com is a product validation platform that helps creators test market demand before launching a product. It provides tools for concept validation, price validation, positioning testing, and idea validation. Users can gather early customer feedback, define pricing, identify target audiences, and make data-driven decisions to either launch confidently or pivot their product idea. The platform offers AI market research assistance, co-creation opportunities, and analytics to optimize product launches.

Woven Insights is an AI-driven Fashion Retail Market & Consumer Insights solution that empowers fashion businesses with data-driven decision-making capabilities. It provides competitive intelligence, performance monitoring analytics, product assortment optimization, market insights, consumer insights, and pricing strategies to help businesses succeed in the retail market. With features like insights-driven competitive benchmarking, real-time market insights, product performance tracking, in-depth market analytics, and sentiment analysis, Woven Insights offers a comprehensive solution for businesses of all sizes. The application also offers bespoke data analysis, AI insights, natural language query, and easy collaboration tools to enhance decision-making processes. Woven Insights aims to democratize fashion intelligence by providing affordable pricing and accessible insights to help businesses stay ahead of the competition.

Luzmo is a customer-facing analytics platform for SaaS companies. It provides embedded analytics, embedded dashboard editor, and Luzmo AI to help businesses make better decisions with data. Luzmo is easy to use, scalable, and affordable, making it a great choice for businesses of all sizes.

DataBrain is an AI-powered embedded analytics platform that enables product teams to create and share beautiful dashboards with customers, vendors, and partners. It helps generate insights to drive business outcomes by providing self-serve analytics capabilities, reducing ad-hoc reporting requests, and enabling easy access and sharing of insights across various platforms. With features like modular SDK, white-labeled dashboards, and enterprise security, DataBrain offers a comprehensive solution for crafting end-user analytics experiences. The platform prioritizes data security, offering end-to-end encryption and compliance with industry standards like SOC 2 and ISO 27001.

Monterey AI is an AI-powered insights platform that helps businesses understand their customers' needs and build better products. It aggregates, triages, and analyzes user feedback, tickets, conversations, surveys, and transcripts to provide businesses with real-time insights into what their customers are saying and what they want. Monterey AI is used by businesses of all sizes, from startups to Fortune 20 companies, to improve their product development process and build better products that meet the needs of their customers.

Product Lab AI is an innovative AI tool designed to assist businesses in optimizing their product development process. The tool utilizes advanced machine learning algorithms to analyze market trends, consumer preferences, and competitor strategies. By leveraging AI technology, Product Lab AI provides valuable insights and recommendations to help companies enhance their product offerings and stay ahead of the competition. With its user-friendly interface and customizable features, Product Lab AI is a powerful solution for streamlining product development workflows and driving business growth.

Smarter Sales is a sales call data management and automation tool that helps businesses streamline their sales processes, improve performance metrics, and save time. It integrates with popular video conferencing platforms like Zoom, Teams, and Meets to automatically pull call recordings for analysis. The tool also automates CRM data entry, providing instant, personalized feedback post-call. Managers can access detailed performance dashboards and summarized email reports to make data-driven coaching decisions. Smarter Sales is fully customizable, allowing businesses to set their own CRM data preferences and extract specific data from each call. The tool also offers personalized AI learning materials and stunning chart creation capabilities to help businesses better understand their sales data and improve their sales strategies.

DataGems is an AI-powered platform that helps users unlock the stories hidden in their data by transforming scattered data into compelling narratives. It offers customized insights and storytelling to improve decision-making and communication. Users can explore their data like never before, discover valuable insights, and effortlessly report key findings to their team. With features like AI-generated workspaces, Canva-style storytelling interface, and integration with various tools, DataGems simplifies the data analysis process and enhances data-driven storytelling.

Industrial Data Labs (IDL) provides AI-powered sales tools specifically designed for the Pipe, Valve, Fitting, and Flange (PVF) industry. Their flagship product, the RFQ Organizer, uses AI to automate the time-consuming process of organizing and analyzing RFQs, saving sales teams hours per RFQ. This allows sales reps to focus on more strategic tasks, such as customer engagement and follow-ups, leading to increased sales performance and improved accuracy.

Laravel Slower is a powerful package designed for Laravel developers to optimize the performance of their applications by identifying slow database queries and providing AI-driven suggestions for optimal indexing strategies and performance improvements. It offers actionable insights for debugging and monitoring database interactions, enhancing efficiency and scalability.

Mage is an open-source data pipeline tool for transforming and integrating data. It offers an easy developer experience, engineering best practices built-in, and data as a first-class citizen. Mage makes it easy to build, preview, and launch data pipelines, and provides observability and scaling capabilities. It supports data integrations, streaming pipelines, and dbt integration.

Awesome-LLM-Large-Language-Models-Notes is a repository that provides a comprehensive collection of information on various Large Language Models (LLMs) classified by year, size, and name. It includes details on known LLM models, their papers, implementations, and specific characteristics. The repository also covers LLM models classified by architecture, must-read papers, blog articles, tutorials, and implementations from scratch. It serves as a valuable resource for individuals interested in understanding and working with LLMs in the field of Natural Language Processing (NLP).

TrustLLM is a comprehensive study of trustworthiness in LLMs, including principles for different dimensions of trustworthiness, established benchmark, evaluation, and analysis of trustworthiness for mainstream LLMs, and discussion of open challenges and future directions. Specifically, we first propose a set of principles for trustworthy LLMs that span eight different dimensions. Based on these principles, we further establish a benchmark across six dimensions including truthfulness, safety, fairness, robustness, privacy, and machine ethics. We then present a study evaluating 16 mainstream LLMs in TrustLLM, consisting of over 30 datasets. The document explains how to use the trustllm python package to help you assess the performance of your LLM in trustworthiness more quickly. For more details about TrustLLM, please refer to project website.

Tools4AI is a Java-based Agentic Framework for building AI agents to integrate with enterprise Java applications. It enables the conversion of natural language prompts into actionable behaviors, streamlining user interactions with complex systems. By leveraging AI capabilities, it enhances productivity and innovation across diverse applications. The framework allows for seamless integration of AI with various systems, such as customer service applications, to interpret user requests, trigger actions, and streamline workflows. Prompt prediction anticipates user actions based on input prompts, enhancing user experience by proactively suggesting relevant actions or services based on context.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

The Google Cloud Document AI Samples repository contains code samples and Community Samples demonstrating how to analyze, classify, and search documents using Google Cloud Document AI. It includes various projects showcasing different functionalities such as integrating with Google Drive, processing documents using Python, content moderation with Dialogflow CX, fraud detection, language extraction, paper summarization, tax processing pipeline, and more. The repository also provides access to test document files stored in a publicly-accessible Google Cloud Storage Bucket. Additionally, there are codelabs available for optical character recognition (OCR), form parsing, specialized processors, and managing Document AI processors. Community samples, like the PDF Annotator Sample, are also included. Contributions are welcome, and users can seek help or report issues through the repository's issues page. Please note that this repository is not an officially supported Google product and is intended for demonstrative purposes only.

Superflows is an open-source alternative to OpenAI's Assistant API. It allows developers to easily add an AI assistant to their software products, enabling users to ask questions in natural language and receive answers or have tasks completed by making API calls. Superflows can analyze data, create plots, answer questions based on static knowledge, and even write code. It features a developer dashboard for configuration and testing, stateful streaming API, UI components, and support for multiple LLMs. Superflows can be set up in the cloud or self-hosted, and it provides comprehensive documentation and support.

Litlyx is a single-line code analytics solution that integrates with every JavaScript/TypeScript framework. It allows you to track 10+ KPIs and custom events for your website or web app. The tool comes with an AI Data Analyst Assistant that can analyze your data, compare data, query metadata, visualize charts, and more. Litlyx is open-source, allowing users to self-host it and create their own version of the dashboard. The tool is user-friendly and supports various JavaScript/TypeScript frameworks, making it versatile for different projects.

Data-Juicer is a one-stop data processing system to make data higher-quality, juicier, and more digestible for LLMs. It is a systematic & reusable library of 80+ core OPs, 20+ reusable config recipes, and 20+ feature-rich dedicated toolkits, designed to function independently of specific LLM datasets and processing pipelines. Data-Juicer allows detailed data analyses with an automated report generation feature for a deeper understanding of your dataset. Coupled with multi-dimension automatic evaluation capabilities, it supports a timely feedback loop at multiple stages in the LLM development process. Data-Juicer offers tens of pre-built data processing recipes for pre-training, fine-tuning, en, zh, and more scenarios. It provides a speedy data processing pipeline requiring less memory and CPU usage, optimized for maximum productivity. Data-Juicer is flexible & extensible, accommodating most types of data formats and allowing flexible combinations of OPs. It is designed for simplicity, with comprehensive documentation, easy start guides and demo configs, and intuitive configuration with simple adding/removing OPs from existing configs.

A curated repository of code recipes, demos, and resources for basic and advanced Redis use cases in the AI ecosystem. It includes demos for ArxivChatGuru, Redis VSS, Vertex AI & Redis, Agentic RAG, ArXiv Search, and Product Search. Recipes cover topics like Getting started with RAG, Semantic Cache, Advanced RAG, and Recommendation systems. The repository also provides integrations/tools like RedisVL, AWS Bedrock, LangChain Python, LangChain JS, LlamaIndex, Semantic Kernel, RelevanceAI, and DocArray. Additional content includes blog posts, talks, reviews, and documentation related to Vector Similarity Search, AI-Powered Document Search, Vector Databases, Real-Time Product Recommendations, and more. Benchmarks compare Redis against other Vector Databases and ANN benchmarks. Documentation includes QuickStart guides, official literature for Vector Similarity Search, Redis-py client library docs, Redis Stack documentation, and Redis client list.

Middleware is an open-source engineering management tool that helps engineering leaders measure and analyze team effectiveness using DORA metrics. It integrates with CI/CD tools, automates DORA metric collection and analysis, visualizes key performance indicators, provides customizable reports and dashboards, and integrates with project management platforms. Users can set up Middleware using Docker or manually, generate encryption keys, set up backend and web servers, and access the application to view DORA metrics. The tool calculates DORA metrics using GitHub data, including Deployment Frequency, Lead Time for Changes, Mean Time to Restore, and Change Failure Rate. Middleware aims to provide DORA metrics to users based on their Git data, simplifying the process of tracking software delivery performance and operational efficiency.

BehaviorTree.CPP is a C++ 17 library that provides a framework to create BehaviorTrees. It was designed to be flexible, easy to use, reactive and fast. Even if our main use-case is robotics, you can use this library to build AI for games, or to replace Finite State Machines. There are few features which make BehaviorTree.CPP unique, when compared to other implementations: It makes asynchronous Actions, i.e. non-blocking, a first-class citizen. You can build reactive behaviors that execute multiple Actions concurrently (orthogonality). Trees are defined using a Domain Specific scripting language (based on XML), and can be loaded at run-time; in other words, even if written in C++, the morphology of the Trees is not hard-coded. You can statically link your custom TreeNodes or convert them into plugins and load them at run-time. It provides a type-safe and flexible mechanism to do Dataflow between Nodes of the Tree. It includes a logging/profiling infrastructure that allows the user to visualize, record, replay and analyze state transitions.

Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.

Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.

Screen-pipe is a Rust + WASM tool that allows users to turn their screen into actions using Large Language Models (LLMs). It enables users to record their screen 24/7, extract text from frames, and process text and images for tasks like analyzing sales conversations. The tool is still experimental and aims to simplify the process of recording screens, extracting text, and integrating with various APIs for tasks such as filling CRM data based on screen activities. The project is open-source and welcomes contributions to enhance its functionalities and usability.

LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.

Professional, data-driven product management expert

An AI adept in product visuals and data, creating compelling images and documents.

Helping you optimize your product. How can I help?

I optimize dish discoverability using data analysis.

Analyzes behavioral data to understand user interactions and preferences, improving product designs.

Create, analyze & duplicate customized automated message campaigns to boost retention & drive revenue for your website or app

Expert in marketing research, with a clever twist on its origins.

Apply gold-standard startup valuation and assessment methods to identify risks and gaps in your business model and product ideas.

API Finder: Analyze, Clarify, Suggest, build code, Iterate, test ... International version

Nerdy, interactive advisor for digital product optimization.

能帮你深度分析问题，而不是只看到表面。偶尔还有点毒舌。

Analyzes and summarizes dashboard visuals

Creating Business Value using AI, Digital, Data

Analyzes current trends and usage in the GPT Store.

Free, beautiful, and AI-generated product surveys

Creates detailed, data-driven buyer personas.

Retrieve data on DeFi protocols and blockchains

A data assistant for devs, now with real video and image links.

Advanced AI advisor for dropshipping with real-time data analysis and comprehensive e-commerce tools.

Adds seller and brand info to Amazon ASIN data tables.