Best AI tools for< identify customer churn >

Syncly is an AI-powered customer feedback analysis tool that helps businesses understand their customers' needs and improve their customer experience. With Syncly, businesses can categorize feedback, identify negative signals, and prioritize issues to resolve. Syncly also integrates with other business tools, making it easy to manage all customer feedback in one place.

TheLoops is an all-in-one Intelligent platform providing actionable insights for CX teams using prediction and GenAI to increase your team’s productivity. Trusted by the world’s leading SaaS companies, TheLoops helps you drive actionable insights from your support data, achieve 10x productivity and agent efficiency with GenAI, predict and prevent escalations, make intelligent collaboration easy with AI, and get real-time operations visibility like you've never seen before. With TheLoops, you can connect your data in 1 hour, drive insights in 1 day, and start predicting in 1 week.

Talklab is an AI-powered analytics tool for Zendesk tickets. It uses natural language models to analyze and classify ticket history by topics, sentiments, and more, delivering insightful and convenient reports. With Talklab, you can deeply understand your customer support and team interactions, identify the most pressing issues, and take action to solve them. You can also see a satisfaction score for each ticket and identify the customers that are most likely to churn, allowing you to take action before it's too late.

Shimoku is a catalog of Data & AI tools for professionals and teams. It enables different teams to harness the potential of AI. Marketing and Sales can leverage sales opportunities identified by AI, Python developers can build AI applications with "Low-Code", and startup Founders can launch AI SaaS with expert guidance. Shimoku offers a variety of features, including: * **No-code/low-code development:** Shimoku allows users to build AI applications without having to write any code. This makes it easy for non-technical users to get started with AI. * **Pre-built templates:** Shimoku provides a library of pre-built templates that users can use to quickly create AI applications. This can save users a lot of time and effort. * **Cloud-based platform:** Shimoku is a cloud-based platform, which means that users can access their applications from anywhere with an internet connection. This makes it easy for teams to collaborate on AI projects. * **Open source technology:** Shimoku is open source, which means that users can customize it to meet their specific needs. Shimoku has a number of advantages over other AI platforms, including: * **Ease of use:** Shimoku is designed to be easy to use, even for non-technical users. * **Affordability:** Shimoku is a cost-effective solution for businesses of all sizes. * **Scalability:** Shimoku can be scaled to meet the needs of growing businesses. * **Support:** Shimoku provides excellent customer support to its users. Shimoku has a few disadvantages, including: * **Limited functionality:** Shimoku does not offer as many features as some other AI platforms. * **Lack of documentation:** Shimoku's documentation is somewhat lacking. * **Can be buggy:** Shimoku can sometimes be buggy, which can be frustrating for users. Here are some frequently asked questions about Shimoku: **Q: What is Shimoku?** A: Shimoku is a catalog of Data & AI tools for professionals and teams. **Q: What are the benefits of using Shimoku?** A: Shimoku offers a number of benefits, including ease of use, affordability, scalability, and support. **Q: What are the disadvantages of using Shimoku?** A: Shimoku has a few disadvantages, including limited functionality, lack of documentation, and can be buggy. **Q: How much does Shimoku cost?** A: Shimoku is a cost-effective solution for businesses of all sizes. Pricing starts at $99 per month. **Q: Is Shimoku easy to use?** A: Yes, Shimoku is designed to be easy to use, even for non-technical users. **Name:** Shimoku **Slogan:** "The AI platform for everyone" **Features:** * No-code/low-code development * Pre-built templates * Cloud-based platform * Open source technology * Excellent customer support **Advantages:** * Ease of use * Affordability * Scalability * Support **Disadvantages:** * Limited functionality * Lack of documentation * Can be buggy **FAQ:** * Q: What is Shimoku? A: Shimoku is a catalog of Data & AI tools for professionals and teams. * Q: What are the benefits of using Shimoku? A: Shimoku offers a number of benefits, including ease of use, affordability, scalability, and support. * Q: What are the disadvantages of using Shimoku? A: Shimoku has a few disadvantages, including limited functionality, lack of documentation, and can be buggy. * Q: How much does Shimoku cost? A: Shimoku is a cost-effective solution for businesses of all sizes. Pricing starts at $99 per month. * Q: Is Shimoku easy to use? A: Yes, Shimoku is designed to be easy to use, even for non-technical users. **For_jobs:** * Data scientist * Machine learning engineer * AI developer * Data analyst * Business analyst **AI_keywords:** * Artificial intelligence * Machine learning * Data science * AI platform * No-code AI **For_tasks:** * Predict sales * Identify customer churn * Optimize marketing campaigns * Automate tasks * Improve customer service

Klynk is a Customer Success as a Service (CSaaS) platform that helps SaaS companies improve their customer success outcomes. Klynk's team of experts provides customized customer success strategies, AI-powered insights, and global support to help SaaS companies reduce churn, increase upsells, and build stronger customer relationships.

Staircase AI is a customer intelligence and analytics platform that helps businesses predict and prevent customer churn, discover growth and expansion opportunities, and boost productivity and team efficiency. It uses artificial intelligence to analyze customer data from various sources, including emails, tickets, messages, calls, meetings, and product usage, to provide insights and recommendations. Staircase AI integrates with popular business tools, such as Salesforce, Zendesk, and Intercom, to provide a comprehensive view of customer interactions.

Rargus is a generative AI-powered customer feedback analysis tool that helps businesses understand what their customers want and need. It collects feedback from multiple channels, including app reviews, customer support tickets, and social media, and then uses AI to analyze and segment the feedback, providing businesses with valuable insights that they can use to build better products and improve customer satisfaction.

Lang.ai is an AI-powered customer experience (CX) insights and automation platform designed for mid-market businesses. It helps businesses unlock CX data, increase automation beyond chatbots, drive decisions based on relevant and accurate CX insights, and improve the overall customer experience. Lang.ai offers a range of features, including intelligent triage of complex requests, email automation, continuous improvement of chatbots, granular tagging, proactive alerts, automated discovery of new topics, and custom taxonomies. It integrates seamlessly with popular helpdesks such as Zendesk, Salesforce, Intercom, Kustomer, Dixa, and Freshworks.

Beyond Limits is an industrial-grade, hybrid artificial intelligence company built for the most demanding sectors. Beyond traditional AI, Beyond Limits’ unique Hybrid AI technology combines numeric techniques like machine learning with knowledge-based reasoning to produce actionable intelligence.

HappyML is a cloud-based machine learning platform that makes it easy to build, train, and deploy machine learning models. With HappyML, you can access a variety of pre-built machine learning algorithms, or you can create your own custom models. HappyML also provides a user-friendly interface that makes it easy to manage your machine learning projects.

SupportLogic is a cloud-based support experience management platform that uses AI to help businesses improve their customer support operations. The platform provides a range of features, including sentiment analysis, case routing, and quality monitoring, that can help businesses to identify and resolve customer issues quickly and efficiently. SupportLogic also offers a number of integrations with popular CRM and ticketing systems, making it easy to implement and use.

SupportLogic is a Support Experience Management Platform that uses AI to help businesses improve their customer support operations. It offers a range of features, including sentiment analysis, backlog management, intelligent case routing, proactive alerts, swarming and collaboration, account health management, customer support analytics, text analytics, SLA/SLO management, quality monitoring and coaching, agent productivity, and translation. SupportLogic integrates with existing ticketing systems and apps, and can be implemented within 45 days.

Fini is an AI application that turns your knowledge base into an AI chat in just 2 minutes. It helps businesses supercharge their customer support by resolving 70% of customer questions with AI agents, saving costs, and keeping customers happy. Fini securely integrates with private data and provides AI agents ready 24/7 to solve customer queries on platforms like Zendesk, Slack, and Discord. It also helps growth teams at PLG companies identify reasons for churn and deliver personalized experiences to retain existing customers.

Fini is a customer support AI chatbot that helps businesses resolve customer queries, increase retention, revenue, and activation. It integrates with various platforms like Zendesk, Slack, and Discord, and can be customized to match the tone and character of the business. Fini uses machine learning to learn from customer interactions and improve its responses over time. It offers features such as seamless human routing, multi-channel deployment, and feedback-based learning.

Faraday is a no-code AI platform that helps businesses make better predictions about their customers. With Faraday, businesses can embed AI into their workflows throughout their stack to improve the performance of their favorite tools. Faraday offers a variety of features, including propensity modeling, persona creation, and churn prediction. These features can be used to improve marketing campaigns, customer service, and product development. Faraday is easy to use and requires no coding experience. It is also affordable and offers a free-forever plan.

Kaizan is an all-in-one AI platform that helps businesses measure client sentiment, increase client coverage, and optimize productivity. It uses AI to analyze client communication and identify the root causes affecting clients from renewing and scaling. Kaizan also provides AI-generated client development plans that help businesses close more deals and increase revenue.

June is a product analytics platform designed specifically for B2B SaaS companies. It provides ready-to-go reports, customer profiles, and churn risk analysis. June also integrates with popular CRMs and has an AI-powered chatbot for advanced questions. With June, product teams can easily track key metrics, identify trends, and make data-driven decisions to improve their products.

EdgeTier is a customer engagement platform that uses AI to improve the efficiency and quality of customer interactions. It offers a range of features, including real-time trend detection, agent quality assessment, and personalized agent prompts. EdgeTier is used by a variety of businesses, including retail, travel, gaming, and utilities, to improve customer satisfaction and drive retention.

Essense is an AI-powered customer and competitor analysis platform that helps businesses understand their customers and competitors better than ever before. Essense transforms qualitative customer feedback and competitor reviews into actionable insights. This allows businesses to focus their product roadmap on the most critical customer needs, improve customer adoption and engagement, and understand how their product compares to the competition. Essense is used by product and customer success teams, marketing and growth teams, and consultancies and agencies to make better decisions about their products and marketing.

CustomerIQ is an AI-powered platform that helps businesses collect, analyze, and prioritize customer feedback. It uses natural language processing and machine learning to automatically extract insights from customer conversations, surveys, and other sources. This information can then be used to improve products and services, identify customer pain points, and make better decisions. CustomerIQ is designed to be easy to use and integrates with a variety of popular business applications. It is also highly scalable, making it suitable for businesses of all sizes.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

The W3C Cognitive AI Community Group focuses on advancing Cognitive AI through collaboration on defining use cases, open source implementations, and application areas. The group aims to demonstrate the potential of Cognitive AI in various domains such as customer services, healthcare, cybersecurity, online learning, autonomous vehicles, manufacturing, and web search. They work on formal specifications for chunk data and rules, plausible knowledge notation, and neural networks for human-like AI. The group positions Cognitive AI as a combination of symbolic and statistical approaches inspired by human thought processes. They address research challenges including mimicry, emotional intelligence, natural language processing, and common sense reasoning. The long-term goal is to develop cognitive agents that are knowledgeable, creative, collaborative, empathic, and multilingual, capable of continual learning and self-awareness.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval.

Here we will keep track of the AI Game Development Tools, including LLM, Agent, Code, Writer, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 * Tool (AI LLM) * Game (Agent) * Code * Framework * Writer * Image * Texture * Shader * 3D Model * Avatar * Animation * Video * Audio * Music * Singing Voice * Speech * Analytics * Video Tool

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.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

crewAI is a cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. It provides a flexible and structured approach to AI collaboration, enabling users to define agents with specific roles, goals, and tools, and assign them tasks within a customizable process. crewAI supports integration with various LLMs, including OpenAI, and offers features such as autonomous task delegation, flexible task management, and output parsing. It is open-source and welcomes contributions, with a focus on improving the library based on usage data collected through anonymous telemetry.

This practical free hands-on course focuses on Large Language models and their applications, providing a hands-on experience using models from OpenAI and the Hugging Face library. The course is divided into three major sections: Techniques and Libraries, Projects, and Enterprise Solutions. It covers topics such as Chatbots, Code Generation, Vector databases, LangChain, Fine Tuning, PEFT Fine Tuning, Soft Prompt tuning, LoRA, QLoRA, Evaluate Models, Knowledge Distillation, and more. Each section contains chapters with lessons supported by notebooks and articles. The course aims to help users build projects and explore enterprise solutions using Large Language Models.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

This repository contains projects and notes on common practical techniques for fine-tuning Large Language Models (LLMs). It includes fine-tuning LLM notebooks, Colab links, LLM techniques and utils, and other smaller language models. The repository also provides links to YouTube videos explaining the concepts and techniques discussed in the notebooks.

Analyzes customer churn and provides strategies to improve loyalty and retention.

Enhances customer loyalty and reduces churn rates.

Advising B2B founders on identifying customer burning needs

Un aiuto nella costruzione della Customer Journey del tuo cliente

Strengthens business relationships through client interaction and feedback analysis.

Expert in JTBD, business strategy, and Lean Startup

Guides B2B startups in a structured customer segment evaluation process. Stop guessing! Ideate, Evaluate & Make data-driven decision.

Optimizes business operations through process enhancements.

Analyzes and enhances customer's journey across all touchpoints.

Show me your job description or just describe what you do professionally, and I'll help you identify high value use cases for AI in your day-to-day work. I'll also coach you on simple techniques to get the best out of ChatGPT.

Analyzes text for narcissistic or inconsiderate traits.

Efficient in identifying key customer outcomes, related KPIs, and thoughts-provoking, outcomes-deciphering questions.

Enables sales & marketing leadership to identify high-value AI use cases

Resolves complex customer complaints to ensure satisfaction.

Keyword Extraction Tool: Efficiently extracts keywords from various texts, social media, and customer feedback with our user-friendly, scalable tool.

Strategize, Identify, Contact, Close

A helpful guide for identifying unknown callers and missed calls.

分析用户输入的文本，帮他们明晰需求

Indoor plant care and troubleshooting expert, plant identifier, multilingual

Will bucket users based on available characteristics.