5 AI driven features to add to your SaaS and mobile apps
4 min
March 11, 2024

As a founder or product owner for a Software as a Service (SaaS) or a mobile product, you know how tough it can be to keep up with the competition. Just having a good product isn't enough anymore. To really succeed, you've got to keep improving and giving your users what they want. One great way to do that is by adding artificial intelligence (AI) features.

If you have been reading about all the new AI tools that have come out and have been wondering how I can enhance my product by using the AI capabilities, you have come to the right place. In this blog post, we'll go through five easy ways for you, as a SaaS or mobile app founder, to use AI to make your product even better. From recommending stuff to understanding how your users feel, these ideas can help you make your users happier and your business more successful.

Personalised Recommendations:

Implement a recommendation system that suggests relevant content, products, or actions to users based on their past interactions and preferences. This can significantly improve user engagement and conversion rates by providing tailored experiences. You can start by leveraging collaborative filtering or content-based recommendation algorithms to analyse user behaviour and preferences.

Automated Customer Support:

Integrate a chatbot powered by natural language processing (NLP) to handle common customer queries and support requests. By automating routine tasks like answering FAQs, providing product information, or troubleshooting issues, you can reduce the burden on your support team and improve response times for users. Tools like Dialogflow or IBM Watson can help you build and deploy AI chatbots quickly.

Data Insights and Reporting:

Enhance your SaaS product with AI-powered data analysis and insights generation capabilities. Provide users with actionable insights and visualisations derived from their data, such as trends, correlations, or anomalies, to support data-driven decision-making. Start by implementing basic descriptive analytics and gradually incorporate more advanced techniques like predictive modelling or clustering analysis.

Email Marketing Optimisation:

Use AI to optimise email marketing campaigns by analysing user behaviour, preferences, and engagement data. Implement algorithms that segment users based on their interests and past interactions, and automatically personalise email content, timing, and frequency to maximise open rates, click-through rates, and conversions. Tools like Mailchimp's AI-driven features or platforms like SendGrid can help you integrate AI into your email marketing strategy easily.

Sentiment Analysis for Customer Feedback:

Integrate sentiment analysis capabilities into your SaaS platform or mobile app to automatically analyse and categorise customer feedback, such as reviews, comments, or survey responses. By understanding the sentiment expressed by users, you can identify areas of satisfaction and areas needing improvement more effectively. This insight can inform product development, marketing strategies, and customer support initiatives. You can use pre-trained sentiment analysis models available in NLP libraries like NLTK or TextBlob to quickly implement this feature and start analysing customer sentiment.

By focusing on these low-hanging fruit opportunities, you can quickly add value to your SaaS product with AI features while minimising development time and resources. As you gain experience and feedback from users, you can then explore more advanced AI applications and expand the capabilities of your product further.

If you are looking to add AI capabilities to your existing product or looking to build a new tool, we can help. We have just launched www.lexeme.ai which is an AI based web scraping tool helping thousands of small business owners. Feel free to reach out to us here.

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