The artificial intelligence market is constantly rising and is projected to double annually. Here’s what to expect from AI 2025 and beyond.
In this article, we’ll list and briefly review more than 20 examples of how AI advances are used to create more efficient systems and find new ways to increase revenue.
AI-Based Product Ideas for E-Commerce
#1: Chatbot, Voice Assistant, Voice Search. Examples:
Voice assistants like Alexa or Siri use speech recognition and can be integrated into an online store. Popular eCommerce chatbots like DialogFlow or ActiveChat are customizable according to a company’s products, sales flows, and other specifics.
#2 Recommendation system, visual search
How to use it: Making customer experience more efficient, improving sales, and building a substance for retargeting.
Potential: An AI-based product recommendation system can be a powerful tool for future sales and long-term engagement. It can analyze each customer’s purchase history, activities, likes and dislikes, and other patterns.
Examples: Youchoose and Qubit use an eCommerce recommendation engine that tracks users’ behavior and suggests relevant products. Syte is a solution that allows customers to search by any image to find precisely what they want.
#3 Fake reviews filtering software
How to use it: Find and clean up fake reviews about products.
Potential: A significant improvement in a company’s reputation, using machine learning techniques and other AI-related technologies to detect fake and genuine reviews. It is undoubtedly one of the most excellent AI ideas for business development and building strong customer relationships.
How to Use: Answer common customer queries, offer 24/7 hands-on support, and help customers select and purchase products online.
Potential: Voice assistants could be a prime example of how AI can generate revenue, as more than 50% of search queries are voice-based. No wonder this e-commerce tool is among the top software development trends that are expected soon. Chatbots are also among the best AI-powered ideas for online sales, saving businesses over 2 billion hours of work. The success of an e-commerce business often depends on offering customers quick answers and multiple ways to explore products.
Examples: Fakespot can detect, analyze, and identify misleading online reviews. Implementing a product review analyzing tool with the help of ML and AI can be one of the most interesting small business app ideas.
#4 eCommerce sales forecasting tool
- How to use it: Collecting information from chatbots and analyzing and scoring leads to understand which ones are more likely to convert.
- Potential: If you are searching for what you can build with AI, a sales forecast application for e-commerce is an invaluable tool. Improving all predictions with relevant data will help salespeople focus on the most promising leads and increase revenues.
- Examples: HubSpot and PipeDrive are among the best AI development companies, building great tools for sales forecasting.
Best AI Products for FinTech
#1 Fraud prevention software
- How to use it: Analyzing big data to detect suspicious transaction patterns and prevent cyber crimes.
- Potential: Artificial Intelligence, predictive analytics, and various machine learning techniques provide limitless opportunities for financial risk management, helping decrease fraud and similar crimes.
- Examples: ClearSale and DataDome are examples of many such AI-based tools. If you are looking for some AI business ideas, this is one of the most relevant in industries like FinTech and cybersecurity.
#2 AI-powered chatbot for finance businesses
- How to use it: Provide 24/7 online answers to guide customers through different financial products and consult them on how to save money.
- Potential: Financial consultation will always be relevant to people using banking and insurance products. Chatbots and voice assistants are some of the most promising AI ideas for the future, and more technologies are likely to appear—for instance, those based on NLP (Natural Language Processing). According to research, financial organizations can save globally from $5 to $7 billion on operational costs if they use a chatbot or voice assistant for customer support.
- Examples: SEB, Bank of America, and other huge financial institutions provide virtual assistants for customers and employees.
#3 AI-powered process automation
- How to use it: Streamlining routine back-office tasks such as transactions, loan application processes, security checks, etc.
- Potential: Process automation is vital for financial institutions. You can build an artificial intelligence product that allows them to do the work quickly and cost-effectively.
- Examples: Deutsche Bank, Axis Bank, and other major financial organizations incorporate AI-powered process automation.
#4 Biometric security systems
How to use it: Enhance security and save users’ time on mobile banking apps and ATMs.
Potential: ATMs with biometric authentication and QR code recognition are more secure and convenient for customers. A startup can consider many finance app ideas, and a mobile banking app with biometric security, image recognition, and similar features can be a great example of an AI product for FinTech.
Existing solution: Many large banks have adopted AI-based recognition systems that use fingerprints, palms, faces, irises, and DNA.
AI Solutions for Cybersecurity
Many cybersecurity solutions use AI for product development in Finance, Healthcare, Insurance, and more. There is a wide range of use cases of AI-based digital protection, for example:
Credit card fraud prevention;
- Anti-money laundering;
- CCTV cameras with face recognition;
- Border control;
- House security;
- Spam filtering in email;
- Secure automation and integration services;
- Finding potential threats;
- Timely cyber incident response;
- Customer sensitive information protection;
- Cloud security for AWS and Google Cloud migration.
These and many other cybersecurity solutions show what one can build with AI to protect important information and make customers feel safer. Let’s examine some AI application ideas in more detail.
#1 Object Detection System
How to use it: Identifying potential threats and criminal actions like shoplifting or physical violence.
Potential: Crime prevention CCTV cameras can spot potential criminals, enhance safety during significant events, recognize approved visitors, etc.
Existing solution: AI Guardman is an artificial intelligence product that scans live videos using artificial intelligence and machine learning.
#2 House security
How to use it: Monitor the house and inform the owner about specific events.
Potential: The growing industry of AI-powered home security is predicted to reach over $74 billion soon. Machine learning techniques, deep learning, NLP (Natural Language Processing), and IoT devices make it possible to use AI to start a business in this industry.
Existing solution: Lighthouse is an app that recognizes many movements and events, helping people manage their property.
Examples of Artificial Intelligence Products for Real Estate
#1 AI-driven chatbot for real estate
How to use it: Answer customer questions and match them with properties, schedule viewings, send follow-ups, etc.
Potential: Conversational AI greatly impacts the real estate industry, streamlining human agents’ work and reducing time spent on routine activities.
Existing solution: Hyro is one of the best AI products. Its text and voice recognition features help real estate buyers and sellers find the right option.
#2 Property recommendation software
How to use it: Matchmaking of properties and potential buyers with the help of ML.
Potential: Human agents can find better client offers and save time on manual searches.
Existing solution: Redfin uses AI-driven technology to analyze customers’ search criteria and suggest better options.
#3 Efficiency solutions for buildings
How to use it: Analyzing what can be improved and optimized in or around the building.
Potential: AI-based technologies are successfully implemented in parking app development, energy usage optimization, waste management, and more. This may be one of the most excellent AI ideas for the future because the problems of building safety and sustainability will always be significant.
Existing solution: Carbon Lighthouse uses Artificial Intelligence to monitor energy usage in buildings that have commercial purposes.
AI in HealthCare
There are a lot of machine learning and AI application ideas for doctors and patients, offering different kinds of assistance:
- Improving diagnostics and treatment;
- Matching diagnosis and medication;
- Conducting robotic surgeries;
- Keeping healthcare data safe;
- Consulting patients remotely;
- Organizing and monitoring information.
AI in Marketing, Social Media, and Entertainment
The use of Artificial Intelligence in media and entertainment is vast and diverse. If you are looking for interesting AI ideas, here are some examples:
AI and neural networks for social networking app development and building all types of social media suggestion features;
- AI-based music creation platform;
- Music recommendation app that analyzes user preferences;
- Apps for video and photo editing online;
- AI-driven search tool for images, audio, or video content;
- Autocorrect tool based on text and context recognition;
- Fake news detector project in AI.
AI and Machine Learning Tools for HR, eLearning, and other Industries
Using the AI technology, you can generate lots of modern SaaS product ideas, including but not limited to:
- Resume parser (AI project that analyzes tons of data, making HR specialists’ routine more efficient);
- AI-based learning apps that can analyze learners’ progress, difficulties, and goals;
- Translator app, Design tool, and other AI ideas for education;
- AI for marketers – studying target audiences and business trends, automating A/B tests and other marketing processes.
AI for product managers – assisting with customer research, product evolution, finding new ways of monetization, etc.