2025’s Best Product Management Examples to Inspire Your Strategy!

In 2025, the most successful product management examples emphasize customer-centric strategies and agile development approaches. These two key strategies are crucial for addressing market demands and ensuring continuous product improvement. 

In this blog, we’ll explore these strategies in detail, showing how top companies implement them to achieve success. You'll discover actionable insights and product management tools that can be applied to your own practices.

Want to learn product management strategies for driving innovation and optimizing product lifecycles? upGrad’s Management Courses can equip you with tools and strategies to stay ahead. Enroll today!

Top 10 Product Management Examples: A Global Perspective

As a product manager, one of the biggest challenges you face is aligning your team, prioritizing features, and managing customer expectations while delivering value. In this section, we’ll highlight top product management examples that directly address these pain points.

If you want to develop industry-ready product management skills to drive successful product strategies, the following courses from upGrad can help you succeed.

• Professional Certificate Program in Financial Modelling and Analysis in association with PwC Academy
• Master’s in International Accounting and Finance by JGU (Accredited by ACCA, UK)
• HR Analytics Course Certification from IIM-K

You’ll learn how leading companies handle resource constraints, balance short-term vs long-term goals, and drive product innovation. These examples will provide you with practical product management strategies to implement in your role. Dive in!

1. India: Matri Pro – Innovating Menstrual Wellness

(Source: Amazon)

Matri Pro is an innovative product developed by Matri, an Indian femtech startup that specializes in creative solutions for women's health. The company focuses on creating products that address the needs of women in areas such as menstrual wellness and personal care. 

In 2025, Matri launched the Matri Pro, a revolutionary device designed to provide drug-free relief from menstrual cramps. Using Transcutaneous Electrical Nerve Stimulation (TENS) technology, Matri Pro offers a non-invasive solution that targets period pain without the need for medication.

This product is unique for its sleek design and dual-connectivity feature, allowing users to choose between wired and wireless options. Matri's approach is aimed at empowering women with a practical, easy-to-use alternative for managing menstrual pain.

Matri Pro’s Product Management Strategy

• Customer-Centric Approach: Matri focused on understanding real consumer pain points through surveys and feedback to design a solution that directly addressed menstrual discomfort.
• Technology Integration: They incorporated TENS (Transcutaneous Electrical Nerve Stimulation) technology to offer a drug-free, non-invasive solution, combining innovation with practical needs.
• Agile Development: Using an iterative approach, Matri continuously improved the product based on user feedback, ensuring it remained relevant and effective.
• Dual Connectivity: The product’s flexibility with wired and wireless options gave users more choice and convenience, enhancing its appeal.
• Effective Positioning: Matri positioned the device as sleek, user-friendly, and accessible, leveraging strong marketing to emphasize its benefits over traditional pain relief methods.

Key Takeaway and Lesson to Learn

Matri’s success with Matri Pro highlights the importance of integrating user feedback into product development. By focusing on consumer needs and combining innovative technology with customer-centric design, Matri created a standout product that gained customer loyalty.

The key lesson is to always place the customer at the center of your product strategy. Whether through agile methodologies, scrum frameworks, iterative development, feedback loops, or leveraging new technologies, success depends on solving the user's pain points.

Also read: Your Ultimate Product Manager Roadmap: A Step-by-Step Guide for 2025

2. France: LVMH – Leveraging AI for Luxury Goods

(Source: Instagram)

LVMH, the French luxury goods conglomerate, has integrated Artificial Intelligence (AI) into its business operations. In 2025, LVMH expanded its use of AI through a partnership with Google Cloud, creating a centralized data platform for its 75 luxury brands. 

This platform enabled LVMH to improve operational efficiency by using AI for predictive analytics in inventory management, personalized marketing, and product design. By doing so, the company was able to understand customer preferences better and optimize its processes.

LVMH’s use of AI helped the company stay ahead in the luxury market by enhancing product management strategies and improving customer experiences.

LVMH’s Product Management Strategy

• Data-Driven Decisions: LVMH used AI to optimize inventory management, forecast trends, and make informed decisions that improved both product offerings and customer satisfaction.
• Personalization: By analyzing customer data, LVMH tailored marketing and product recommendations to individual preferences, improving customer engagement.
• Continuous Improvement: LVMH applied agile practices, constantly refining AI models based on user feedback and market data to keep their product offerings aligned with current demands.
• Efficient Supply Chain: Predictive analytics enabled LVMH to predict demand better, reducing waste and ensuring products were available when and where customers wanted them.
• Product Design with AI: By using AI to analyze consumer preferences and trends, LVMH was able to design products that met customer expectations, maintaining its position in the luxury market.

Key Takeaway and Lesson to Learn

LVMH’s success with AI highlights the importance of data-driven decision-making and personalization. By continuously collecting data and improving their processes, they were able to enhance their product offerings and better meet customer needs.

The main takeaway is that AI, machine learning, and predictive analysis are essential tools for improving both internal operations and customer interactions. Companies can benefit by applying these technologies to streamline processes and deliver products that align with customer expectations.

3. USA: General Motors – Developing Ultifi Platform

(Source: gmauthority.com)

General Motors (GM), a global leader in the automotive industry, is focusing on building its own software platform called Ultifi. In 2025, GM made strides to integrate a personalized and connected experience into its vehicles by replacing traditional software interfaces with Ultifi. 

This platform allows users to customize their vehicle experience, offering services like in-car shopping, entertainment, and real-time health tracking. 

GM’s approach to developing Ultifi demonstrates how product management can create highly customized user experiences by integrating software into traditionally hardware-based industries. 

General Motors’ Product Management Strategy

• User-Centric Design: GM focused on creating a personalized experience for drivers by allowing them to tailor vehicle features to their preferences through Ultifi, moving beyond traditional automotive features.
• Software Integration: The development of Ultifi shows GM’s shift toward software-centric product management in the automotive sector, where digital services are becoming as important as the physical vehicle itself.
• Partnerships for Growth: By collaborating with tech companies, GM integrated advanced cloud technologies and AI to create a highly adaptive platform that improves over time.
• Continuous Innovation: Ultifi uses over-the-air updates to deliver new features and improvements, ensuring that vehicles continue to evolve and meet customer needs without requiring physical upgrades.
• Enhanced Customer Engagement: GM’s focus on personalization and integrating AI to predict user preferences has increased customer engagement, creating new opportunities for cross-selling and improved services.

Key Takeaway and Lesson to Learn

GM’s development of Ultifi highlights the value of personalization and software integration in product management. By prioritizing customer needs and offering a flexible, adaptable platform, GM created a product that not only enhances the driving experience but also continuously evolves.

The key lesson is that even in traditionally hardware-focused industries like automotive, integrating software and offering personalized experiences can drive innovation and customer loyalty. Utilizing technologies like Scala, Go, and Flask for backend development can help streamline your platform’s performance, ensuring regular updates and flexible services. 

4. China: DeepSeek – AI Model Commercialization

(Source: deepseek.com)

DeepSeek, a Chinese AI startup, is focused on bringing its R1 AI model to market, shifting from research to commercialization in 2025. The company specializes in large language models and is now expanding its product management efforts by turning its AI model into usable, consumer-facing products. 

DeepSeek is recruiting for roles in product management and design to refine and bring its AI-based solutions to various industries. The goal is to make AI more accessible and practical for businesses, enhancing processes like customer service automation, data analysis, and decision-making.

DeepSeek’s approach to product management is a great example of turning cutting-edge research into real-world applications by focusing on commercializing AI solutions to meet market demands.

DeepSeek’s Product Management Strategy

• Commercializing AI Research: DeepSeek shifted from a purely research-driven model to product-focused development, aiming to make AI technologies practical for real-world businesses.
• User-Focused Development: The company uses customer feedback to tailor its AI products, ensuring that the technology meets business needs and adds value to different industries.
• Agile Product Strategy: DeepSeek adopted an iterative development approach, refining the AI model continuously based on user feedback, making adjustments as they go.
• Expanding Market Reach: The company is focusing on entering multiple industries, including e-commerce and customer service, by offering tailored AI models for specific business needs.
• Hiring for Product Management Excellence: To ensure the successful commercialization of its AI models, DeepSeek is expanding its team, hiring skilled product managers and designers who can bridge the gap between AI research and end-users.

Key Takeaway and Lesson to Learn

DeepSeek’s journey into AI commercialization demonstrates the importance of adapting innovative technology to real market needs. By focusing on solving practical business problems with AI, DeepSeek is able to transition from research to valuable consumer-facing products.

The key lesson is to focus on customer-centric product management, even when dealing with complex technologies like NLP, CNN, and RNN. Making your products adaptable and user-friendly while addressing real business problems ensures long-term success in any industry.

5. Singapore: SwipeRx – Personalized Pharma E-Commerce

(Source: swiperx.com) 

SwipeRx, a leading pharma e-commerce platform in Southeast Asia, has focused on improving the accessibility and efficiency of pharmaceutical products in 2025. The company has launched a new AI-driven platform that allows pharmacies to personalize the purchasing experience for their customers. 

By analyzing customer data and behavior, SwipeRx tailors product recommendations, promotions, and content to individual preferences, enhancing customer engagement. The platform also integrates with various suppliers, streamlining the supply chain and ensuring pharmacies can access the medications their customers need.

SwipeRx’s product management strategy is a great example of how AI can improve both the operational side and customer experience in the e-commerce sector, especially in pharma.

SwipeRx’s Product Management Strategy

• Personalization through AI: SwipeRx uses AI to analyze user data and recommend tailored products, promotions, and content, increasing the relevance of offerings for customers.
• Supply Chain Integration: The platform improves the supply chain by connecting pharmacies with suppliers, reducing stockouts and improving inventory management.
• Customer-Centric Development: SwipeRx has focused on building a user-friendly interface and providing personalized content to meet the specific needs of pharmacy owners and their customers.
• Agile Approach: SwipeRx’s team continually refines the platform based on customer feedback and market trends, ensuring that it stays aligned with user needs and industry standards.
• Streamlined Processes: By offering an integrated e-commerce platform, SwipeRx simplifies procurement and management for pharmacies, making it easier for them to run their businesses efficiently.

Key Takeaway and Lesson to Learn

SwipeRx’s approach highlights the importance of personalizing the customer experience and improving operational efficiency using technology. By integrating AI into its platform, SwipeRx was able to enhance the purchasing experience while streamlining supply chain management for pharmacies.

The key lesson is to always focus on making your product work for the customer by using data and technology, like Spark for real-time analytics. This approach not only improves customer satisfaction but also makes operations more efficient and responsive to market changes.

6. USA: JPMorgan Chase – GenAI Integration

(Source: jpmorganchase.com)

JPMorgan Chase, a leading global financial institution, has made significant strides in integrating Generative AI (GenAI) into its product offerings in 2025. The company is using GenAI to enhance customer service and operational efficiency across various banking services. 

With the help of AI models, JPMorgan is personalizing financial advice, automating customer service, and improving internal decision-making processes. By integrating AI-driven chatbots and virtual assistants, JPMorgan can offer more efficient and real-time support to its customers. This is while ensuring data security and compliance with financial regulations.

JPMorgan’s AI strategy exemplifies how financial institutions are incorporating new technologies to create better, more personalized customer experiences and increase overall business efficiency.

JPMorgan Chase’s Product Management Strategy

• AI for Personalization: JPMorgan is using GenAI to personalize financial advice, helping customers make better decisions by analyzing their financial behaviors and goals.
• Automation in Customer Service: The use of AI chatbots and virtual assistants has allowed JPMorgan to streamline customer service, providing real-time solutions and reducing wait times.
• Data-Driven Decision Making: AI models are integrated into internal decision-making processes, enabling JPMorgan to improve risk assessment, detect fraud, and optimize financial strategies.
• Continuous Learning and Improvement: JPMorgan’s AI systems continuously learn from customer interactions, improving their accuracy and the quality of their recommendations over time.
• Compliance and Security: With a strong focus on regulatory compliance, JPMorgan has integrated AI in a way that ensures secure customer interactions, meeting financial industry standards.

Key Takeaway and Lesson to Learn

JPMorgan’s integration of GenAI demonstrates the power of AI and automation in transforming customer service and internal processes. By using AI to offer personalized services and streamline operations, JPMorgan not only improved customer satisfaction but also enhanced efficiency.

The key lesson is to embrace artificial intelligence, including neural networks for advanced decision-making and cybersecurity to protect data. AI can automate routine tasks, provide tailored advice, and enhance operational decision-making, all of which can significantly elevate a business's overall performance.

7. Australia: Emily Canon – Navigating APIs

(Source: mindtheproduct.com)

Emily Canon, an Australian-based product manager, has been influential in improving the way APIs (Application Programming Interfaces) are used in product management. In 2025, she shared key strategies for efficiently navigating APIs to build scalable and reliable products. 

Emily focuses on simplifying API integrations by promoting clear documentation, testing processes, and allowing strong communication between technical and non-technical teams. This approach helps product managers integrate APIs into their products smoothly, ensuring they meet user needs while remaining efficient.

By focusing on these areas, Emily Canon has successfully demonstrated how product managers can make API integrations more seamless and beneficial for both developers and end-users.

Emily Canon’s Product Management Strategy

• Clear Documentation: Emphasizing the importance of well-structured and comprehensive API documentation, making integration easier for developers.
• Testing and Validation: Emily stresses regular testing to ensure APIs function as expected and are free of bugs before deployment.
• Effective Communication: Encouraging close collaboration between technical teams and product managers to align on goals and ensure proper API implementation.
• Scalability: Ensuring that APIs are designed for long-term scalability, allowing them to grow with the product as new features are added.

Key Takeaway and Lesson to Learn

Emily’s strategies for managing API integrations show the importance of clear communication and testing in ensuring that APIs work smoothly. By focusing on these areas, product managers can ensure better collaboration, faster development, and a more reliable product.
The lesson here is to prioritize simplicity and collaboration when working with complex technologies like REST APIs, ReactJS for frontend integration, and Node.js for backend support. Effective use of these technologies can help streamline development processes and improve product reliability.

8. USA: Google Cloud – AI-Powered Customer Engagement

(Source: cloud.google.com)

Google Cloud introduced an AI-powered platform in 2025 to help businesses enhance customer engagement and improve customer service. By integrating AI with cloud services, Google Cloud allows companies to personalize their interactions with customers, automate repetitive tasks, and offer real-time assistance. 

The platform uses Natural Language Processing (NLP) to understand customer queries and provide more relevant responses, helping companies create smoother and more effective customer service experiences.

This strategy highlights how AI can be applied not only for internal efficiencies but also to directly improve customer-facing interactions, increasing satisfaction and loyalty.

Google Cloud’s Product Management Strategy

• AI-Powered Personalization: Using AI to tailor content and responses based on customer data and interactions
• Automation: Implementing automation to streamline customer service processes and reduce wait times for responses.
• Real-Time Assistance: Leveraging AI to provide immediate solutions and answers to customer queries, improving the overall experience.
• Continuous Improvement: Using data-driven insights to adapt and refine AI models over time for improved customer engagement.

Key Takeaway and Lesson to Learn

Google Cloud’s approach to AI-powered customer engagement shows how automation and personalization can drive better customer experiences. By integrating AI into customer support, businesses can automate repetitive tasks and offer faster, more relevant responses.
The key lesson is to always look for ways to apply AI, using platforms like AWS and Azure, to improve customer interactions while maintaining a high level of personalization and service quality. These technologies can help scale support systems efficiently and ensure timely, relevant responses.

Also read: 5 Ways Intelligent Automation Helps Your Business Grow Faster

9. Saudi Arabia: Ciovita – Strategic Growth in Apparel

(Source: Instagram)

Ciovita, a South African cycling apparel company, expanded its operations in Saudi Arabia by focusing on strategic growth in 2025. The company launched new products tailored to local markets, using insights from customer feedback and regional trends. 

By focusing on quality and performance, Ciovita has successfully positioned itself as a leading brand in the cycling apparel industry.

The company's growth strategy was centered around creating locally relevant products. They also used a data-driven approach to track sales, customer preferences, and market demand in each region. 

Ciovita’s Product Management Strategy

• Market Research: Conducting thorough research on local consumer preferences and trends to ensure product offerings meet regional needs.
• Local Adaptation: Adapting products to suit local climates and customer preferences, such as breathable fabrics and temperature-regulating designs.
• Data-Driven Decisions: Using analytics to track sales performance, customer behavior, and market demand to guide future product offerings and marketing strategies.
• Brand Positioning: Focusing on quality and performance in their product positioning to differentiate from competitors in the market.

Key Takeaway and Lesson to Learn

Ciovita’s growth in Saudi Arabia demonstrates how adapting your products and services to local markets can drive success. By using data-driven decisions and conducting market research, they were able to build a strong connection with local customers and successfully scale their business.

The key lesson is always to consider local needs and preferences when expanding into new markets. Utilizing technologies like Java for backend development and JavaScript for dynamic, responsive front-end solutions can enhance the user experience.

Also read: Understanding and Conducting a Market Research like Experts

10. USA: Adobe – AI-Driven Creative Tools

(Source: adobe.com) 

Adobe has introduced AI-driven creative tools in 2025 to enhance the capabilities of designers and content creators. These tools, such as Adobe Firefly, integrate generative AI to help users quickly generate artwork, images, and designs based on specific prompts. 

The tools also automate repetitive tasks, allowing users to focus more on creative aspects while improving efficiency. Adobe’s AI tools are designed to assist both professional designers and beginners, making advanced creative capabilities more accessible.

Adobe’s strategy of integrating AI into its creative suite demonstrates the impact of technology on enhancing artistic workflows and broadening creative possibilities.

Adobe’s Product Management Strategy

• AI-Powered Creativity: Adobe integrates AI to assist designers in generating creative content quickly, offering new possibilities in design and artwork.
• Workflow Automation: Automating repetitive tasks like image editing and asset management, allowing creatives to focus on higher-level tasks.
• User-Focused Design: Ensuring that the tools are intuitive and easy to use, catering to both professionals and beginners in the creative field.
• Continuous Updates: Regularly updating AI models and tools to improve the user experience and provide users with the latest innovations in creative tools.

Key Takeaway and Lesson to Learn

Adobe’s introduction of AI-driven creative tools emphasizes the power of technology in enhancing creative workflows. By focusing on automation and personalization, Adobe helps users produce better results in less time.

The key lesson here is to embrace AI to enhance your product's capabilities while also improving the overall user experience. Tools like Python for automation and R for data analysis can significantly improve product development and user experience.

Also read: Data Analysis Using Python [Everything You Need to Know]

As we’ve seen with these top product management examples, the right strategies and innovations can lead to great success. Now, let’s take a look at the essential tools that can help you implement these strategies effectively in your own product management processes.

Tools to Use in Product Management for 2025

Looking at product management examples from top companies, it’s clear that the right tools are crucial for success. From customer research to agile development and design, having the right tools helps product managers stay efficient and effective. 

Here’s a list of essential tools to help streamline your product management process in 2025.

1. Customer Research & Feedback

• SurveyMonkey: Collect valuable customer insights through surveys.
• Typeform: Create engaging surveys and forms for feedback.
• UserTesting: Conduct usability testing and gather feedback on prototypes.

2. Agile Product Management

• Jira: Manage agile workflows, track progress, and handle project backlogs.
• Trello: Organize tasks and collaborate visually.
• Asana: Coordinate tasks and manage projects efficiently.

3. Prototyping & Design

• Figma: Design interactive prototypes and UI/UX designs.
• Sketch: Create detailed UI designs and wireframes.
• InVision: Build prototypes and gather feedback on designs.

4. Data Analytics & Reporting

• Google Analytics: Track product performance, user behavior, and engagement.
• Tableau: Visualize data, create insightful reports, and drive informed decision-making with Tableau for interactive dashboards.
• Mixpanel: Analyze user flows and track product usage metrics.

5. Marketing & Positioning

• HubSpot: Manage inbound marketing efforts and customer interactions.
• Salesforce: Streamline marketing campaigns and customer relationship management.
• Hootsuite: Schedule and analyze social media marketing campaigns.

6. Collaboration & Communication

• Slack: Facilitate real-time team communication and collaboration with Slack for streamlined messaging and task management.
• Microsoft Teams: Host meetings and share documents across teams.
• Zoom: Conduct virtual meetings and webinars for better team interaction.

Also read: Product Management Best Practices You Should Be Following

Now that we've reviewed essential tools through various product management examples, let's examine the key challenges product managers face. You will also learn how to overcome them, ensuring your strategies and tools lead to success.

upGrad’s Exclusive Product Management Webinar for you –

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Key Challenges for Product Managers and How to Overcome Them?

With the top product management examples, we often see how successful managers overcome key challenges to deliver impactful products. From aligning teams to managing timelines, the challenges are numerous and varied. 

By understanding these obstacles and applying the right solutions, product managers can navigate their roles effectively and keep projects on track.

Let’s dive into the key challenges product managers face and the solutions to overcome them. 

Also read: Importance of Product Management in Software Industry: 11 Essential Insights for 2025

Having understood the key challenges in product management examples, it's time to level up your skills. upGrad can help you become a successful product manager with the proper training and guidance.

Become a Successful Product Manager with upGrad! 

Matri’s success was built on continuously listening to user feedback, integrating technology to solve real-world problems (like menstrual pain), and iterating their product based on customer insights. This focus on user needs, combined with a practical and scalable solution, is an invaluable lesson for any aspiring product manager.

To be a great product manager, you need to develop skills in areas like customer research, agile development, data analysis, and strategic decision-making.upGrad’s Product Management Courses are designed to equip you with these crucial skills. 

Here are some additional courses to help you succeed: 

• Professional Certificate Program in Business Analytics & Consulting in association with PwC Academy
• Introduction to Entrepreneurship
• Introduction to Consumer Behavior

Ready to take your product management skills to the next level? Get personalized counseling and explore our offline centers to start your journey today! Visit upGrad to learn more.

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