Blog

What comes to mind when you consider industries capable of altering our culture as we know it? When we talk to experts in their disciplines, they always say there will be technology in the next decade that we haven't even imagined yet. 

AI appears to be the buzzword of the day and for a good reason. Every business seeks a competitive advantage to propel it to new heights. For many forward-thinking companies, AI appears to be the holy grail differentiator. Many businesses encounter problems that can be solved with automation, and many successful automation initiatives are underpinned by powerful AI software. 

Specific industries will not be complete without a significant concentration on machine learning features in the future. Set aside your fears of a world governed by robots and meet some of AI's future titans and seasoned vets. 

The SaaS Market Today 

A SaaS provider hosts an application and makes it available to consumers via the internet. SaaS is an abbreviation for Software as a Service. This implies that the software is hosted on a SaaS company's server and is accessed remotely by the user. 

In 2020, the global Software as a Service (SaaS) market was worth USD 113.82 billion. The market is expected to rise at a CAGR of 27.5%, from USD 130.69 billion in 2021 to USD 716.52 billion in 2028. 

As developers continue to innovate and offer increasingly diversified and personalized solutions to business challenges, the software-as-a-service (SaaS) market has experienced unprecedented growth. Almost every industry and role have a SaaS product, and SaaS is significant money. These current SaaS trends are a testament to the industry's rapid development. 

While the SaaS industry is predicted to increase, it is expected to grow slower than in prior years. The SaaS business is developing, and it appears that those who will emerge victorious will need to be on to the next "big thing." 

8 Ways SaaS Company can Benefit from AI 

Let's look at a few ways the software business might benefit from this revolutionary shift: 

Personalization Using AI 

Modern firms cannot serve all their clients in the same way. As each customer is unique, modern firms must treat them as such. Personalization is essential and is also required for SaaS organizations. 

But how can you introduce personalization? How do you examine the interactions and behavior of many customers? It would be challenging to commit many resources to this! 

AI SaaS can help you examine the vast amounts of data created by client interactions with your product. This assists you in determining the intentions of your specific consumers. You might then divide your consumers into more valuable divisions. 

Personalization insights can assist you in providing targeted features. 

Customer Service Using Chatbots 

Customer support is likely to be more challenging in your SaaS firm. SaaS enterprises, by definition, operate remotely.  

If you've successfully grown your SaaS business, you'll have many customers. This increases the number of customer support queries. It can be challenging to assemble a large enough staff of competent customer service professionals to handle such a volume. 

Chatbots powered by AI can be utilized to manage this. Train these chatbots to solve simpler tickets using your customer service incident information. Customers will not experience any delays because chatbots are available 24 hours a day, seven days a week. 

Natural language processing techniques can train your chatbots to direct more complicated inquiries to your experienced customer service crew. Keep your clients happy while improving the usage of your support team! This is one of the advantages of AI in SaaS. 

Improved Customer Engagement 

Every organization, including your SaaS company, requires client engagement. In the case of a SaaS company, determining whether a customer is disengaging may be difficult. Your main point of contact with customers is your product. You must examine how clients utilize your goods and whether they are decreasing their use. 

In this exercise, use machine learning to add predictive analytics. Machine learning can assist you in predicting your consumers' future behavior, which will inform you if they are disengaging. You can then take the necessary actions to address any issues raised by your clients. You engage your consumers before they churn, thanks to machine learning insights in SaaS. 

Take your AI-powered SaaS company in an outcome-oriented direction 

You are most likely selling your SaaS product using seat-based pricing. This indicates that a business "X" purchases your product for Y number of its employees, and you are compensated for Y number of "seats." 

Is "X" making the best use of your product? This question may stay open, but you are still paying for Y number of seats! You can see how you're heading in the commodity direction, which you don't want! 

Instead of allowing your SaaS offering to become commoditized, focus on value. When you incorporate AI and ML into your SaaS solution, you will provide your clients with increased efficiency. They will need to purchase fewer seats because they are now using a more efficient product. The emphasis has switched from the number of users to the outcome! 

You've just moved from seat-based to outcome-based pricing and dodged the commoditization trap! 

Enhanced Security 

Cyber-attackers aren't idle while you're innovating to improve your SaaS product! Every day, cybercriminals create new malware, yet your security solution may be completely unaware of it. With the support of AI, you may move from a reactive to a proactive strategy. AI-powered systems are being "trained" by cybersecurity professionals to spot suspicious online behavior patterns. 

These AI algorithms can now detect new malware and other cyber threats. Such solutions can help isolate malware before infiltrating your SaaS product's infrastructure. Through predictive analytics, these AI systems can also prepare you for potential future threats. 

Improve Your Marketing 

Effectively marketing your SaaS product can significantly boost your revenue. You must have already invested in marketing platforms and strategies, but you should continue to improve them. 

When attempting to improve your marketing, you must examine several factors, such as: 

• How can you target your marketing initiatives most effectively? 
• What can you do to get more out of your marketing data? 
• Which incentives are most likely to boost your sales? 

AI and machine learning can help you answer these problems. They can also improve the efficiency of your marketing efforts in the following ways: 

• You may save time on reporting and analysis by using AI and machine learning. 
• Machine learning may detect patterns in user activity and help you segment your consumer base more intelligently. 
• In SaaS, machine learning can help uncover the most effective lead nurturing tactics. 

Recommend User Actions Using AI SaaS Platform 

Your customers purchase your SaaS product to meet a specific demand. Users must often follow workflows when using SaaS products. These workflows aren't all the same because they are dependent on the product's features. Despite your best attempts to make the workflows as easy as possible, some can be complicated. It would be best to make your users' lives easier, and AI-powered recommendation engines can assist you. 

You already have massive databases, including information about how users have engaged with your product in the past. These datasets can be used to "train" an AI recommendation engine. 

When your users interact with your SaaS product, these AI recommendation engines can suggest the next course of action. These suggestions will be based on user preferences and historical data. 

Improved Predictive Analysis 

Some SaaS companies specialize in high-stakes predictive models, which is the primary service they provide. They'd have to make accurate models, of course! 

Take, for example, the SaaS startup Invenia. It uses data from energy grids to gain insights into energy usage and grid operations. It also takes advantage of weather information. 

Its revenue comes from its predictive models, which are also crucial to corporations that control electricity networks. To avoid overproduction and blackouts, grid operators use Invenia's predictive models. 

AI SaaS Startups 

Artificial Intelligence (AI) is the all-in-one solution that connects everything, making it a valuable, marketable asset in the SaaS sector. Let's look at the top artificial intelligence SaaS companies. 

CrowdStrike 

CrowdStrike is a cloud-based SaaS company that uses artificial intelligence to provide end-to-end security. Their platform enables users to detect any suspected harmful activity before a breach occurs. This allows businesses to take the required steps to avoid data breaches and keep their data safe. 

CrowdStrike provides network managers with artificial intelligence (AI) that assists them in detecting threats in real-time, preventing any potential harm to their businesses. 

Domino Data Lab 

Domino Data Lab provides comprehensive SaaS solutions to tech and data experts. They also test various AI models and other components and collect the results for the AI community. They also research various SaaS solutions and develop the best deployment strategy for businesses using artificial intelligence and data science. 

Shift Technology 

As one of the top cybersecurity platforms, Shift Technology provides IT solutions to various business concerns. They mix artificial intelligence with cutting-edge mathematical techniques to create the most accurate business models. 

They also use their data science capabilities to automatically identify a potential network of fraudsters or cyber risks in any industry, mainly eCommerce and insurance organizations. The solutions are then deployed in a SaaS model readily available via their cloud platform. 

Apptio 

Apptio, as a SaaS company, assists other SaaS companies with licensing, planning, and investing with AI-driven insights. The Apptio SaaS model includes analytics produced from AI, which aids in deploying and utilizing other firms' financial systems. 

They employ AI to assist other organizations in making informed investment decisions. 

Uniphore 

Uniphore is a SaaS company that provides software solutions based on conversational AI technology. This software helps enterprises with conversational analytics, conversational security, conversational assistants, and other tasks. They use computer vision, voice AI, and tonal emotion to bring each AI dialogue to life. Companies typically utilize such software to improve their customer service capabilities. 

AI for SaaS Companies; Future Opportunities 

Are you thinking about incorporating machine learning and artificial intelligence into your SaaS company? Machine learning and AI are no longer a thing of the future but rather today's reality. Thus, now is the time to use them to build your business. The primary software businesses use this strategy, such as Microsoft and Oracle, to extend their client base and target specific consumers who might be interested in buying their products. 

Making random suggestions to clients is no longer practical, as competition is becoming increasingly tough with each passing day, and failing to prepare for it would be costly. No business can thrive, no software can acquire traction, and no service can perform at its best if it is not personalized according to the user's mind. For this, AI is the answer. 

To stay ahead in the marketing game, companies have begun to incorporate artificial intelligence and machine learning technology. When do you intend to jump into the mainstream? 

Conclusion 

The advantages of AI in software development are self-evident. Machine learning enables computers to execute several jobs that would otherwise take too much time and effort, lowering costs and enhancing overall development efficiency. 

AI provides a substantial competitive advantage and may be why your key competitors outperform you. AI offers new user experience standards that are impossible to satisfy without it. As a result, we propose that you do not dismiss artificial intelligence. It is not only a trend but the future of SaaS products.