AI-Powered SaaS Development: How AI Transforms SaaS Products

Benefits of AI for SaaS products

Customer demands are ever-changing. But one thing is always set in stone – it’s the fact that customers always have a lot of demand and expectation from their products. With multiple companies vying for their attention (and money), they want only the best. If your product is not the best that the market offers, you’ll be gone from their list.

Luckily, with AI, SaaS companies can meet these demands in the most efficient way possible. This is because they provide some key features that can make your SaaS products better than before. Some of it are: 

Hyper personalization

Want to know what the most in-demand feature of SaaS products is? It’s personalization. Before, customers were treated as one single homogeneous entity. They receive the same message, regardless of their age, gender, or location. 

But through personalization, businesses can give suggestions or tailored experiences that are specifically fitted to your individual customer’s needs and tastes. 

How does hyperpersonalization differ from personalization? Well, hyperpersonalization is essentially an even more detailed and intensive analysis of data. Unlike before when you could only gather customers' demographics, you can now collect data such as:

• Browsing activity (what websites you usually visit, how much time you spend on one page etc.)

• Purchase history (what items have you bought before, what items do you typically buy)

• Purchase behaviour (do you buy full price or only when there’s a sale, do you prefer free shipping or 50% off voucher, do you pay using this specific card, etc.)

• Behaviour towards your products (do you add a lot of items to cart, do you only browse but don’t purchase anything)

Hyperpersonalization can also do real-time analysis of customer’s data. They can see your current location, the weather you are experiencing right now, shops that are close to you, and so on. 

This leads to even more tailored suggestions. For example, with personalization, you can see gym clothes ads when you click on an exercise video. But with hyperpersonalization, you can see thermal gym clothes ads since you are experiencing the winter season right now. 

All of these intensive data gathering and analysis are easily done through AI. AI can use its algorithms to instantly analyze a vast amount of customer data and provide insights in just a short time. 

You can see this on Spotify. The app provides its users with tailored song or artist suggestions based on their playlists, last played songs, or preferred music genres. This leads to a more enjoyable user experience, as users can listen to songs and discover new artists that fit their preferences.

Automation

Many SaaS products are created to autonomously take care of menial tasks. And by harnessing AI, automation tools can take on more time-consuming and repetitive tasks for a more efficient workflow. This also lessens the risk of human error, as AI doesn’t get distracted or confused from monotonous tasks. 

Automation is a great help for any industry. Have a long list of leads that you need to contact for your email marketing? You can just use automated email tools to automatically replace and fill in information in your messages. You can also set them to send these messages at whichever time or day you prefer.

In the manufacturing industry? You can also use tools to track your inventory and automatically create invoices from orders.

Automation can also improve graphic design workflow. Tools like TimeBolt have an AI-powered feature where the AI can detect long silences in your video footage and automatically cut them out. This results in more concise videos that are more engaging to your audience.

Adding AI to the mix can greatly improve the automation capabilities of your software. An example is Zendesk, which is a customer support platform. They use AI to analyze customer concerns to automatically route them to the correct agent. AI can also identify which of the messages are more urgent and automatically put them at the top of the line. 

Predictive Analytics

Predictive analytics isn't a new trend. Companies have been using data to make business choices for a long time. However, AI has helped it develop by leaps and bounds. The volume of client data has risen, as have the capabilities of software and technology. When combined with AI's capabilities, data mining and analytics are faster and smarter than before. 

One example is Xero, an accounting software. They use AI to predict cash flow trends and analyze your financial performance. Another one is Zia, Zoho CRM's AI tool, which uses AI to find trends in customer data and behavior and forecast future sales trends.