In product development, time is everything so you have to stop wondering how to build AI tools. The longer it takes to move from idea to implementation, the greater the risk that the product will miss the market window or that a competitor will beat you. The good news is that the right generative AI tools can help significantly reduce product development times and get you to market faster.
We'll explore how Lamatic's generative AI tech stack can improve your product development processes. It can help you quickly turn ideas into actionable plans, optimize those plans using smarts driven by data, and automate repetitive tasks so you can focus your human talent on more creative aspects of innovation.
How is Generative AI Used in Product Development?
Generative AI, or GenAI, is an algorithm that creates new content, from images to:
- Text
- Audio
- Code
These algorithms take a training set of existing data and use what they learn to generate new data that reflects the patterns of the original set. GenAI has the power to automate creative processes and enrich outputs across a variety of business applications. In product development, GenAI can help teams accelerate time to market, reduce costs, and better meet customers' needs.
Automating Customer Inquiries with AI-Driven Chatbots
Generative AI tools can drive product innovation by improving customer experience. For example, an intelligent chatbot can address common customer concerns regarding bill explanations.
When customers seek explanations for their bills, a GenAI-powered chatbot can provide detailed explanations, including transaction logs for usage and overage charges. It can also provide new product packages or contract terms that align with a customer’s past usage needs, identifying new revenue opportunities and improving customer satisfaction.
Accelerating Product Modernization with GenAI
Generative AI has the power to automate manual product modernization processes. GenAI technologies can survey publicly available sources, such as press releases, to collect competitor data and compare the current product mix to competitor offerings. It can also understand market advantages and suggest strategic product changes. These new insights can be realized at greater speeds than ever before.
A key benefit of GenAI is its ability to generate code. Now, a business user can use GenAI tools to develop preliminary code for new product features without as much reliance on technical teams. These same tools can analyze code and identify and fix bugs in the code to reduce testing efforts. GenAI solutions such as IBM watsonx™ Code Assistant meet the core technical needs of enterprises. Watsonx Code Assistant can help enterprises achieve a 30% reduction in development effort or a 30% productivity gain. These tools can potentially revolutionize technical processes and increase the speed of technical product delivery.
Analyzing Customer Behavior for Tailored Product Recommendations with GenAI
With the power of predictive analytics and GenAI, businesses can understand when specific customers are best suited for new products, receive suggestions for the appropriate products, and receive suggested next steps for engaging with the client. For example, if a customer undergoes a major business change such as an acquisition, predictive models trained on previous transactions can analyze the potential need for new products.
GenAI can then suggest upselling opportunities and write an email to the customer, which the salesperson will review. This empowers sales teams to increase speed to value while offering customers top-tier service. Using IBM® watson.data™, enterprise data can be prepared for various analytical and AI use cases.
Analyzing Customer Feedback to Inform Business Strategy with GenAI
Enterprises can use GenAI to improve customer experience by more readily actioning customer feedback. Through IBM® watsonx.ai™, various industry-leading models are available for different types of summarization. This technology can quickly interpret and summarize large volumes of customer feedback.
It can then provide suggested product improvements with fleshed-out requirements and user stories, accelerating the speed of responsiveness and innovation. GenAI can pull themes from feedback from lost customers to illuminate trends, suggest new sales strategies, and arm sales teams with business intelligence and pre-scripted follow-ups.
Applying Customer Segmentation for Intelligent Marketing with GenAI
GenAI has the potential to revolutionize digital marketing by increasing the speed, effectiveness, and personalization of marketing processes. Using standard data analytics practices, businesses can identify patterns and clusters within data to enable more accurate targeting of customers. Once the clusters are created, GenAI can power automated content-creation processes that reach specific customer groups across various platforms. IBM watsonx™
Orchestrate enables the user to automate daily tasks and increase productivity. This tool can create content, connect to different platforms, and send updates at the drop, saving marketing teams time and money as they deliver solutions. This content creation and customer outreach ability are the key differentiators of generative AI and are part of what makes these new technologies so exciting. GenAI can translate expensive, manual marketing processes into accelerated, automated processes.
Related Reading
- How to Build AI
- Gen AI vs AI
- GenAI Applications
- Generative AI Customer Experience
- Generative AI Automation
- Generative AI Risks
- How to Create an AI App
- AI Product Development
- Enterprise Generative AI Tools
- Generative AI Development Services
33 GenAI Tools for Product Managers and Product Teams
1. Lamatic: A Managed Generative AI Tech Stack for Fast Implementation
Lamatic offers a comprehensive Generative AI tech stack that empowers teams to rapidly implement GenAI solutions without accruing tech debt. Our platform provides:
- Managed GenAI Middleware
- Custom GenAI API (GraphQL)
- Low Code Agent Builder
- Automated GenAI Workflow (CI/CD)
- GenOps (DevOps for GenAI)
- Edge deployment via Cloudflare workers
- Integrated Vector Database (Weaviate)
Lamatic empowers teams to rapidly implement GenAI solutions without accruing tech debt. Our platform automates workflows and ensures production-grade deployment on the edge, enabling fast, efficient GenAI integration for products needing swift AI capabilities.
Start building GenAI apps for free today with our generative AI tech stack.
2. ChatGPT – The Conversation-Starting AI
No list of top AI tools for product managers was ever going to be complete without mentioning Open AI’s ChatGPT. In addition to helping you summarize, edit, and create texts, ChatGPT can help you with a wide array of tasks.
How ChatGPT Can Help Product Managers
- Idea Prioritization: Use ChatGPT to brainstorm and prioritize ideas for product improvements or new features.
- Data Management: ChatGPT can assist in managing and organizing product-related data by structuring data, creating databases, and generating reports or summaries. This is a real time-saver!
- Launch Plans: Product Managers can collaborate with ChatGPT to outline and refine launch plans. It can assist in drafting release notes, user communications, and marketing content.
3. Google Gemini – Your Conversational AI Chatbot
Imagine having an AI-powered conversational genius at your disposal as a Product Manager. Gemini is just that. More than just an AI writing tool, it's your go-to companion for answering questions, composing diverse forms of content, and even solving complex problems.
How Gemini Can Help Product Managers
- Industry Insights: Bard can provide up-to-date information about industry trends, competitor activities, and market developments.
- Content Generation: Use Bard to quickly generate various types of content, such as reports, documentation, and project plans. This is not only a huge time saver but also ensures consistent quality.
- Multilingual Support: Bard's language translation capabilities are valuable for international Product Managers who must communicate with global teams and customers.
4. Chatbot Prompting Template
Tools like ChatGPT and Google Bard don’t require a technical degree, but they are much more effective when used correctly. This free template from Product School shows you how to craft precise prompts to engage effectively with natural language processing chatbots to ensure you generate quality results.
How to Use Product School’s Prompt Template
Follow the template to provide the right detail and delegate to the chatbot. Prompt for specific elements such as role, audience, and goal to ensure you’re getting the best response possible!
5. AI User Flow Template
AI product development requires a deep understanding of user needs and seamless integration of AI. This free template, validated by Product School’s expert AIPC™ course creator, is your guide to crafting intuitive flows that avoid bias and build user trust. Break down a complicated process into clearly defined flows from the initial entry point to the generated output alongside real-world examples from AI products.
How to Use the AI User Flow Template
Identify user entry point(s) Map out all possible user actions Specify data inputs & generated outputs Apply best practices See the process applied to real-world AI products like Tinder to put the different steps in context.
6. AI Product Requirements Document (PRD) Template
Developing non-deterministic products requires a steep learning curve, even for experienced Product Managers. This free AI PRD Template from Product School gives you everything you need to align stakeholders.
How to Use the AI PRD Template
Write an abstract, delegate to team members, and establish objectives. The template guides you through requirements and considerations for Large Language Models, data, prompting, and testing to ensure your AI features are built on a solid foundation. Complete a risk assessment and check off legal requirements. Follow the guidelines for a successful go-to-market strategy, and get ready to launch!
7. Missive – Streamlined Communication for Product Teams
Communication lies at the heart of successful Product Management, where cross-functional collaboration with teams and clients is paramount. The innovative team inbox platform Missive offers a unified email, SMS, and social media messaging hub. But it doesn't stop there; it seamlessly integrates AI, making it a valuable ally for Product Managers.
Use Missive to Supercharge
- Unified Communication: Missive offers a unified inbox for managing emails, SMS, and social media messages. This helps Product Managers streamline communication and stay organized, particularly when collaborating with cross-functional teams
- Email Automation: Missive's AI integration can automate tasks like summarizing customer emails and fixing grammar mistakes, allowing you to focus on more strategic aspects of your role.
- Real-time Interaction: Real-time interaction with clients and team members ensures that everyone stays on the same page, essential for successful product development and customer support.
8. Catalist - Next-level Collaboration
Effective coordination is the backbone of successful product execution. Catalyst, built by Product School’s AIPC course creator Sam Stevens, is transforming how teams collaborate by offering a suite of features that streamline project management:
Automated Status Reports
Catalist compiles data from meeting transcripts and Slack channels to generate comprehensive status updates, enhancing project visibility and accountability in a fraction of the time.
Meeting Notes
Actionable and easy-to-digest meeting notes. Chat with any meeting transcript to dive deep into any topic.
Task Management
Create and assign tasks based on conversations in meetings and Slack.
9. Julius - Advanced Analytics Made Simple
Julius AI is a way for product managers to interact with and derive insights from data:
Advanced Analytics
Julius uses ML to uncover trends and patterns.
Real-time Insights
By integrating with various data sources, Julius provides up-to-date analytics and visualizations.
Actionable Recommendations
Actionable insights to guide product strategy.
10. ChatPRD - The On-demand Chief Product Officer
Clear product requirements documents are essential for guiding product development. But they can often take hours to write and edit meticulously. ChatPRD transforms the documentation process:
AI-Powered PRD Creation
ChatPRD is an on-demand Chief Product Officer, drafting detailed PRDs that meet high-quality standards.
Document Enhancement
The tool can refine existing PRDs, ensuring consistency and completeness.
Product Manager Coaching
ChatPRD offers valuable insights and recommendations to help PMs hone their skills.
11. Recruitee – Your AI-Powered Recruitment Partner
Product Managers looking to build high-performing teams may find the recruitment process time-consuming. Enter Recruitee. With OpenAI's natural language processing capabilities, this tool can simplify hiring efforts, from crafting compelling job descriptions to maintaining consistent candidate communication.
Use Recruitee For
- Efficient Hiring: Recruitee's AI-powered job description generation simplifies the hiring process for Product Managers. You can create compelling job postings quickly, attracting top talent to their teams.
- Candidate Communication: AI-generated email templates can enhance the candidate experience by maintaining consistent and professional communication with candidates throughout the hiring process.
12. Kadoa – Simplifying Data Extraction with AI
Making data-based decisions is paramount in Product. Extracting and processing data from diverse sources can take time and effort. With Kadoa, you can transform your approach to data processing and analysis, saving time, reducing costs, and unlocking the full potential of your data-driven initiatives.
Ways Kadoa Can Help Product Teams
- Workflow Automation: Reduce manual data entry and processing tasks, freeing up valuable time to focus on strategy, innovation, and decision-making.
- Data Analysis: Access and transform unstructured data into actionable information to gain deeper insights into product performance and customer behavior, facilitating data-driven decision-making.
- Unlocking Unstructured Data: Leverage the true potential of unstructured data, extracting valuable information from sources like websites, PDFs, and CSVs, which might have otherwise remained untapped.
13. MixPanel – Unleashing Real-time User Behavior Insights
In a landscape where understanding user engagement and behavior patterns is paramount, Mixpanel shines. It allows businesses to gain real-time insights into how users interact with their products, identify critical patterns, and make informed choices regarding product development and marketing strategies.
How Mixpanel Can Help Product Managers
- Event Tracking: Mixpanel's event tracking feature is a game-changer for Product Managers and market researchers. It allows businesses to track specific events or user actions within their products meticulously. These events can be customized to align with business objectives and encompass actions like button clicks, form submissions, app installations, etc. This granular tracking facilitates the identification of user behavior patterns, providing deep insights into user needs and preferences.
- User Retention Tracking: With AI-driven user retention tracking, Mixpanel offers a comprehensive view of how frequently users return to a product. This capability provides invaluable insights into user loyalty and opportunities to enhance retention. By analyzing retention rates, businesses can make well-informed decisions to improve user satisfaction, engagement, and long-term relationships.
- A/B Testing: Mixpanel's A/B testing capabilities empower businesses to conduct experiments with different variations of their products or user experiences. This feature is a treasure trove for Product Marketers, enabling them to assess the impact of various marketing strategies, user interface modifications, or product feature changes on user behavior, conversion rates, and other vital metrics.
14. Amplitude – Your AI-Powered Analytics Companion
You'll need to leverage data analytics to stay ahead in the competitive world of Product Management. Enter Amplitude, an AI-powered tool that has been at the forefront of utilizing AI technology long before the AI hype of 2022.
How Amplitude Can Help Product Managers
- Data Assistant: Amplitude's Data Assistant is a crucial tool for Product Managers who understand the importance of high-quality data. It helps measure and qualify data, ensuring product decisions are based on accurate and reliable information.
- Ask Amplitude: One of the challenges Product Managers often face is translating business questions into actionable insights. Ask Amplitude bridges these questions and insights, enabling you to ask complex queries and receive meaningful data-driven answers. This tool streamlines the process of extracting actionable insights from data, saving time and effort.
- Amplitude Experiment: Experimentation is a vital aspect of product development. Amplitude Experiment simplifies the process, from identifying hypotheses to designing experiments, creating variants, deploying changes, and assessing results. This end-to-end solution empowers Product Managers to run experiments efficiently, optimize product features, and drive continuous improvement.
15. Zeda.io – AI-Powered Product Discovery and Strategy
Zeda.io emerges as one of the most formidable AI tools specifically tailored to address the multifaceted challenges faced by product managers, helping you stay ahead and drive innovation. This AI-powered product discovery and strategy tool is designed to streamline Product Management processes and empower Product Managers to create products that meet business objectives and resonate with customer needs and preferences.
How Zeda.io AI Can Help Product Managers
- Automated Tags and Categorized Inboxes: AI technology within Zeda.io generates automated tags and categorizes inboxes, simplifying the organization and management of collected feedback. This organization allows you to prioritize and address customer concerns and product improvement opportunities efficiently.
- Product Intelligence Analysis: Zeda.io enables you to leverage AI technology for in-depth product intelligence analysis. This includes segmenting user cohorts and examining customer attributes to identify trends and patterns. Understanding user behavior and preferences enables you to make informed decisions about feature prioritization and development.
- Document Module with AI: Zeda.io's document module is powered by AI technology, simplifying the creation of essential documents. It includes built-in prompts to guide you in generating documents such as Product Requirement Documents (PRD) and release notes quickly and efficiently. Custom prompts can also be created to tailor document generation to specific needs.
16. ProductBoard – Mastering Customer-Centric Product Management
Product Managers face the monumental task of understanding customer needs, prioritizing features, and rallying stakeholders around a coherent product roadmap. In this landscape, ProductBoard emerges as an invaluable tool, simplifying and streamlining the complex process of collecting feedback, making informed decisions, and effectively communicating the product vision.
How ProductBoard Can Help Product Teams
- Frame AI Integration: ProductBoard's integration with Frame.ai is a game-changer for Customer Experience (CX) leaders. It leverages AI to analyze customer conversations, providing insights into customer sentiments, preferences, and pain points. The integration intelligently categorizes incoming feedback, making it easier for product teams to understand the most pressing issues and prioritize improvements.
- Visual Product Roadmaps: Communication is key in Product Management. ProductBoard excels in this aspect by enabling product teams to create visually appealing, easy-to-understand product roadmaps. These roadmaps help align stakeholders around the product vision, ensuring everyone is on the same page regarding the product's direction and objectives.
- Distinct Feedback Channels: ProductBoard enables the setup of distinct feedback channels, allowing for targeted collection and analysis of user input. This segmentation ensures that product teams can focus on specific areas of interest, whether it's feedback related to a particular feature, customer segment, or market trend.
17. Peak.ai – Elevating Product Inventory and Pricing
Peak.ai isn’t your typical AI platform. It's a powerhouse dedicated to optimizing product inventory, pricing strategies, and customer personalization. While it might not grab the spotlight like flashy generative AI, it brings immense value to businesses by enhancing efficiencies across their value chain.
Ways Peak.ai Can Help Product Managers
- Efficiency Improvement: Peak.ai's "boring" AI isn't dull; it's a game-changer in improving operational efficiencies. Leverage its capabilities to streamline decision-making, allocate resources optimally, and reduce customer service costs.
- Personalization: Personalized customer experiences are a hallmark of successful Product Management. Peak.ai empowers Product Managers to deliver personalized omnichannel experiences, increasing customer lifetime value and loyalty.
- Pricing Optimization: Peak.ai's pricing optimization capabilities allow you to set optimal prices for products throughout their lifecycle. This ensures that products are competitively priced and contributes to revenue growth.
18. Kindly.ai – Elevate Customer Communications with AI
Kindly.ai steps into customer support and sales to elevate customer communications through virtual shopping assistants, AI chatbots, and conversion optimization tools. With advanced machine learning algorithms, Kindly.ai enhances user experiences and empowers support and sales teams.
Ways Kindly.ai Can Help Product Managers
- Integration with Bug Tracking Systems: Kindly.ai can integrate with bug tracking and feature request management systems commonly used by product teams. When users report issues or request new features, the chatbot can automatically create or update tickets in these systems, ensuring nothing gets lost.
- Feedback Summarization: Kindly.ai can summarize and aggregate user feedback over time. This allows you to access concise reports highlighting the most common bug and feature requests, making prioritizing and addressing them easier.
- Conversion Optimization: Use Kindly.ai's conversion optimization tools to fine-tune the customer journey, increasing conversion rates and revenue generation. These tools offer valuable insights into customer behavior and preferences.
19. Notion – The Ultimate Tool for Organization
Effective organization is the cornerstone of efficient Product Management. That’s where Notion comes in.
Notion AI Can Assist Product Managers With
- Document Organization: Notion's AI capabilities help you organize meeting notes, instantly generate action items, and generate other documentation more efficiently. It can also suggest improvements and generate action items automatically.
- Spelling and Grammar: AI-powered proofreading ensures that written content is error-free and polished, improving the quality of communication and documentation.
- Text Summarization: Notion's text summarization feature is beneficial for condensing lengthy documents, reports, or meeting notes into concise summaries, saving time for you and key stakeholders.
20. ClickUp – AI-Powered Project Management
ClickUp empowers Product Managers by automating repetitive tasks, enhancing communication, and promoting creative thinking. Its AI-driven features are designed to improve efficiency, reduce manual work, and ultimately contribute to creating better products.
Ways ClickUp Can Help Product Managers
- AI Content Ideas: Need inspiration for your product's content strategy? ClickUp's AI can generate creative content ideas based on trends, industry insights, and user preferences, helping you plan engaging content.
- Feature Name Suggestions: Naming features and functionalities is crucial to Product Management. ClickUp AI can propose relevant and appealing feature names, simplifying decision-making.
- Survey Generation: When gathering user feedback is essential, ClickUp can assist in crafting surveys tailored to your product's needs, allowing you to collect valuable insights efficiently.
21. Tl;dv – Streamlined Meeting Summaries With AI
Picture a tool that captures, transcribes, and summarizes all your essential meetings within seconds. That's precisely what Tl;dv brings to the table for Product Managers. This AI-powered meeting recorder allows you to focus on active participation and extract valuable insights by automating the tedious task of note-taking during calls.
Use Tl;dv For
- Meeting Efficiency: Tl;dv streamlines the capture of meeting content, generating instant transcripts and summaries of your calls. This helps you retain important information and action items.
- Customizable Summaries: Tailor AI-generated summaries to focus on specific aspects of meetings, such as UX feedback or bug mentions. This ensures that relevant insights are captured and shared with the team.
22. H20.ai – The One For AI Product Managers
A transformative force in AI and machine learning, H2O.ai is one of the most potent AI tools for Product Managers in automating and streamlining complex data tasks. With a primary focus on predictive modeling and data-driven insights, H2O.ai is at the forefront of enabling data-driven decision-making. Whether predictive modeling, classification analysis, or understanding complex customer behavior, H2O.ai offers the tools and scalability needed for data-driven success.
How H2O.AI Can Help Organizations
- Advanced Machine Learning Algorithms: H2O.ai boasts a wide array of advanced machine learning algorithms, providing users with the tools to create predictive models, classification algorithms, and clustering analyses. These algorithms enable you to uncover valuable insights, identify trends, and make data-driven decisions that drive success across various domains, from customer behavior analysis to market research.
- AutoML Capabilities: H2O.ai's AutoML functionality simplifies model selection and hyperparameter tuning. This automation allows users to generate accurate and effective models regardless of expertise level swiftly. By automating these complex tasks, organizations can save time and resources while maintaining the integrity of their analyses.
- Integration and Deployment: H2O.ai seamlessly integrates with popular data analytics and visualization tools, streamlining the incorporation of its insights into existing workflows. It supports model deployment across various environments, allowing organizations to apply data-driven insights in real-world scenarios, from optimizing business operations to enhancing customer experiences.
23. Cohere Generate
Cohere Generate's versatile capabilities empower developers to craft dynamic dialogue systems, enhancing user engagement. Its strength lies in personalized content creation, benefiting marketing campaigns by generating custom emails. While its adaptability is praised, refining the fine-tuning process remains crucial to maintaining coherent context across interactions.
Key Features
- Tailored for diverse natural language generation tasks.
- Creates interactive conversational agents with ease.
- Proficient in crafting personalized email content.
- Delivers human-like responses for authentic interactions.
24. Dall-E2
Dall-E2, a cutting-edge generative AI model, excels in image synthesis. Translating text into captivating visuals empowers artists and designers to explore new realms of creativity. Notable successes include producing unique artwork and custom images. While bridging the text-image gap, it fuels innovation despite occasional inaccuracies and constraints within its trained concepts.
Key Features
- Generative AI model specializing in image synthesis.
- Transforms textual prompts into intricate visual content.
- Accommodates a wide range of image styles and genres.
- Offers control over image attributes like composition and lighting.
- Supports both high-level concept visualization and detailed imagery.
25. Synthesia
Synthesia AI revolutionizes content creation by enabling the generation of lifelike videos using text inputs. Through advanced deep learning techniques, it seamlessly merges text with realistic visuals, transforming concepts into engaging visual experiences. This technology finds applications in marketing, entertainment, and education, reshaping how we communicate and visualize ideas.
Key Features
- The AI-powered platform converts text to videos efficiently.
- Creates dynamic visuals, avatars, and scenes.
- Automated voice synthesis for seamless audio.
- Users can tweak visuals, text, and voice style. Rapidly produce multiple videos simultaneously.
26. Duet AI
Duet AI for Google Workspace seamlessly integrates with Google applications. In the future, you'll discover features for content generation, summarization, and content rewriting within familiar tools such as Gmail, Google Docs, and Google Meet. It uses a robust large language model (LLM) as its foundation. You'll be familiar with this concept if you've used AI chatbots like ChatGPT.
Key Features
- Leverages generative AI capabilities to facilitate text generation.
- Provides AI-driven code assistance for cloud users.
- Easy image generation based on prompts.
- Enables users to create intelligent business applications.
- Build workflows within Google Workspace using natural language commands.
27. Jam
The AI-incorporated features, now available under JamGPT, help product managers identify bugs, get the code to fix them, and allow sharing the solutions with their team in one link.
Key Features
- Screen recordings. It integrates with other product management tools, such as ClickUp.
- Provides AI suggestions or quick TLDRs for bugs.
- Enables quick sharing with engineering teams.
28. Notion
Notion AI is another good tool for summarizing your texts and developing critical takeaways for your team members.
Key Features
- It helps extract research themes from executive presentations, provides access to AI-generated action insights, integrates other product management tools, and offers private team spaces.
29. Bard
Another AI tool that is very similar to ChatGPT. It can help product managers in several ways, including brainstorming and validating product ideas, prioritizing product roadmap by analyzing user behavior or customer feedback data, and more.
Key Features
- Its NLP helps give prompts in natural language and get meaningful suggestions.
- Helps communicate with stakeholders by generating reports, presentations, and other documents.
- Assists in creating templates, checklists, and other documents for tracking progress on your projects.
- Automates tasks such as generating reports, creating presentations, and managing projects.
30. Otter.AI
A must-have AI tool for product managers conducting meetings regularly. It serves as their meeting assistant, recording audio, jotting notes, and generating summaries.
Key Features
- It captures shared presentation slides.
- Summarize meetings 30x faster.
- Record your meetings on Microsoft Teams, Zoom, and Google Meet.
- AI-powered transcription ability.
- Automatically generates takeaways and outlines.
- It offers an advanced playback function.
31. Zendesk
This is an effective AI tool for product managers who have to handle customer inquiries. Its AI-powered chatbot and analytics help save time.
Key Features
- AI-powered ticket routing.
- Automated ticket tagging.
- AI-driven chatbots to handle routine customer inquiries.
- AI-powered sentiment analysis of customer interactions, like emails or chat conversations.
- AI-driven analytics and reporting.
- AI-powered knowledge base suggestions and predictive analytics.
32. Zoho CRM
Zoho CRM enables product managers to engage with customers through omnichannel presence, predictive intelligence, and more.
Key Features
- Lead scoring and qualification.
- Sales predictions.
- AI-driven sales insights.
- Customer segmentation based on their behavior, demographics, and preferences.
- AI-based workflow automation.
- Social media monitoring. AI-driven chatbots.
33. Collato
In team environments, Collato serves as a true partner for product managers. It helps find product information among the numerous documents created by your team. It employs machine learning to access files and saves time.
Key Features
- It is like GPT for your product information.
- It integrates with different platforms, grants access to files from any connected platform, maintains optimal data security,
- Creates easy-to-navigate visual maps.
Related Reading
- Gen AI Architecture
- Generative AI Implementation
- Gen AI Platforms
- Generative AI Challenges
- Generative AI Providers
- How to Train a Generative AI Model
- Generative AI Infrastructure
- AI Middleware
- Top AI Cloud Business Management Platform Tools
- AI Frameworks
- AI Tech Stack
5 Ways to Amplify Product Management With GenAI
1. Use GPTs to Streamline User Feedback Analysis
Generative AI tools like chatGPT can analyze user feedback and product backlogs to help product managers gain actionable insights quickly. Product managers can upload user data, product backlogs, and other relevant info to the tool and instruct it to analyze the data and summarize its findings. For example, you can upload your backlog for prioritization, features, epics, and even your product portfolio. As a bonus, ask the GPT to explain why they prioritized the data the way they did for additional insights and a better understanding of the logic behind the prioritization method.
Collaborating with LLMs saves time and helps product managers think outside the box and explore possibilities they may not have considered otherwise. Once you receive the user data analysis, ask the GPT what insights it has for additional/better features. You will receive a whole list of different ideas that most of you may have already thought of; it’s the one or two you didn’t that makes it worth it.
2. Bring Your Vision to Life With GenAI
Generative AI can also catalyze creativity and problem-solving. Product managers can use LLMs to brainstorm solutions to common customer problems, generate user stories or create compelling product narratives. By collaborating with GenAI, product managers can tap into a wellspring of creative approaches to tackling challenges. User stories are the backbone of product management. The creative aspect here is that you need to translate the image and vision you have of the product in your head to the engineers’ heads.
Refine your prompts to include specific details about the product to guide the AI, and it should translate your vision to write user stories your engineers love because there’s nothing better than user stories written by a machine for engineers. If you enter the base vision and details, AI outputs a much clearer vision with more details and acceptance criteria.
3. Analyze Market Trends With LLMs
Product managers must stay ahead of the curve, and generative AI can be a valuable ally in this pursuit. By analyzing vast amounts of data from various sources, such as customer feedback, social media, and competitor analysis, LLMs can help identify emerging market trends and predict future customer needs.
The tool enables product managers to make data-driven decisions and position their products for success in an ever-changing landscape. Write a prompt about everything you want to know and the sources you want the LLM to pull. Repeat and refine to get to the information that will guide your decisions.
4. Improve Customer Experience With GenAI
One of the most exciting applications of generative AI in product management is its potential to enhance the customer experience exponentially. By leveraging user data, LLMs can generate hyper-personalized product recommendations, tailored content, and adaptive interfaces that cater to individual preferences and needs.
This level of personalization fosters deeper emotional connections between users and products, leading to increased engagement, retention, and satisfaction. Upload your personas and ask for personalized feature reconditions for each segment.
5. Simplify User Flows With LLMs
Many LLMs now exist:
- Claude
- Gemini
- CoPilot
- Mistral AI
- ChatGPT
You can create visual user flows, architecture diagrams, and custom LLMs tailored to specific product needs. Product managers can input a description of the desired user journey to create a visual user flow, and ChatGPT can generate a step-by-step visual representation.
Product managers can provide a high-level overview of the system components for architecture diagrams, and ChatGPT can create a detailed diagram illustrating their relationships and interactions. For premium users with a Lucid account, this is even easier: Go to Explore GPTs, search for Lucid, and then use their GPT. The output is a link that will open the diagram in Lucid.
Start Building GenAI Apps for Free Today with Our Generative AI Tech Stack
Lamatic offers a sophisticated managed middleware solution that seamlessly integrates with existing systems and APIs to accelerate the development and deployment of GenAI applications. It provides the tools to build custom GenAI APIs and deploy them in a secure, production-grade environment to facilitate rapid application development.
Custom GenAI APIs Built for Speed
Lamatic helps you get up and running quickly by automating complex processes to eliminate tech debt and accelerate custom Generative AI application development. Our solution provides a fully managed GenAI middleware that helps teams:
- Integrate AI functionality into their existing systems and applications.
- Build new GenAI applications.
- Deploy them in production-grade environments.
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