6 Ways to Leverage AI in Custom Enterprise Application Development

It’s no longer controversial to say no business is complete without custom enterprise application development. But you might be surprised to learn what comes next: no custom app is complete without artificial intelligence (AI).

Given that AI was a gimmick just a decade ago, that may seem far-fetched. However, with the global AI market expected to hit $1,771.62 billion by 2032, it’s time to start believing it.

Why Use AI in Custom Enterprise Application Development

Custom enterprise applications are software solutions tailor-made to fill gaps in your business processes. Whether internal or customer-facing, the customizable nature of these apps gives you an advantage over competitors.

Artificial intelligence takes custom software’s benefits up a notch in the following ways –

• User Engagement – AI-powered personalization engines create a unique experience for every user. An app that understands user preferences will consistently present them with content that they care about, driving higher engagement.
• Lower Operational Costs – Automation can now take over more processes than ever, thanks to AI’s complexity. That means you can spend less on everything from customer service to logistics.
• Content Creation – AI’s ability to generate original text, images, audio, and more helps your team save on time and resources.
• Data-Driven Decision-Making – One of AI’s best features is its ability to collect, process, and interpret huge amounts of data in seconds. The resulting insights allow you and users to make decisions with as much information as possible.
• Efficient Resource Allocation – From delegating tasks to managing inventory, AI can objectively assess where your resources are needed most.

These boosts are all you could want from custom enterprise application development.

💡 Intrigued? Find out how popular AI mobile app development really is.

Industries That Benefit from AI-Powered Software 

The good news is, for every industry that exists, there are a dozen ways AI can improve it. Here are some of the most common use cases, though this is by no means an exhaustive list.

Customer Service

According to Forbes, the most popular use of AI in custom enterprise application development is for customer service.

That only makes sense when you consider how many industries and platforms need customer support. AI can automate a chunk of that effort by responding to inquiries, making recommendations, and maintaining customer databases.

These are the features you’re likely to find in healthcare and eCommerce applications.

Marketing

In the world of marketing, engagement is everything.

AI accomplishes that by interacting directly with consumers, communicating with them and offering them content they enjoy. It also acts behind the scenes by tracking and predicting market trends, optimizing SEO, and targeting ads to specific users.

Finance

Financial technology (Fintech) provides the perfect platform for AI to shine.

Fintech apps require complete accuracy in their financial documents and market trend analysis, beyond what’s humanly possible. AI, as the natural solution, eliminates human error to produce spotless reports, forecasts, insights, and audits.

Human Resources

HR is designed to be the glue that holds your organization together. The more streamlined and advanced its operations, the more it can fulfill that role.

Data-driven insights transform the way businesses manage employee performance, engagement, and retention. What’s more, AI speeds up the recruitment process by handling job descriptions and screening candidates.

🔥 Hot tip! AI implementation doesn’t stop at custom mobile apps and enterprise systems. Integrate AI’s benefits into your web app development projects as well!

The Top 6 Types of AI in Custom Business Apps

If you’re looking into custom enterprise software development, your interest has no doubt been piqued by AI’s versatility.

So, it’s time to take a closer look at the six types of AI that make it so valuable across industries.

1) Predictive Analytics

Predictive AI uses machine learning (ML) and statistical analysis to identify patterns in data and forecast data trends. It does this not only with higher accuracy than human analysts, but also in a fraction of the time.

If you implement predictive analytics into your custom enterprise application development, you can expect your app to –

• Provide insights into customer behavior, such as churn, conversion, and preferences
• Monitor and predict equipment health, inventory stock, and supply chain disruptions
• Track sales trends and suggest competitive product pricing

2) Generative AI

True to its name, this AI subset generates original content in response to user prompts by drawing from existing data.

As with all ML models, the generative AI landscape takes billions of parameters and datasets to produce sophisticated outcomes. But it’s worth the effort, as it creates one of the most interactive and engaging forms of AI out there.

Generative AI is able to –

• Create images, text, videos, sounds (such as music and speech), data-based simulations, and software code
• Take over digital “paperwork” and administrative tasks
• Draft copy for web content and visuals for marketing

3) Natural Language Processing

Natural language processing (NLP) uses ML to process, interpret, and respond to human language.

NLP empowers generative AI to produce coherent, context-relevant text and speech. But it has a few more tricks up its sleeve for custom enterprise application development, as it can –

• Enhance the search function beyond simple keyword matching, providing meaningful results by understanding user intent
• Find, extract, and organize information databases much faster than a human can
• Lay the foundations for sophisticated chatbots and voice assistants

4) Chatbots

Speaking of chatbots, they’re just what you need if customers can interact with your app.

These tools have become increasingly complex as technology has evolved. Now, most modern chatbots come equipped with NLP capabilities. This allows them to handle increasingly advanced customer inquiries with reflexive, unscripted responses.

Here’s what chatbot development does for your custom business app –

• Offers 24/7 customer support, eliminating the need for an offshore customer support center
• Automates responses to repetitive inquiries, freeing up your staff for higher-level tasks
• Enhances customer experience and engagement via instant responses and multilingual support

5) Security

AI-powered cybersecurity uses ML to pinpoint software vulnerabilities, anomalous behavior, and data breaches. They’re the ultimate supplement to a security team, flagging suspicious activity for experts to handle.

AI cybersecurity is capable of this and more –

• Threat hunting
• Fraud and phishing detection
• Vulnerability management
• Data protection

6) Personalization

AI-driven personalization is so widespread that users are coming to expect it from their online shopping and entertainment experiences. So, make sure to factor this trend into your custom enterprise application development, otherwise your engagement may suffer.

Through a combination of NLP, ML, and generative AI, personalization can –

• Target advertising to users who are most likely to be interested in particular products or services
• Tailor content such as emails, text messages, and even product descriptions to individuals based on their preferences
• Analyze and predict users’ interests to suggest content they may enjoy

Thinking About Bringing AI to Your Custom Software?

DPL is just the enterprise application development company you’ve been waiting for. Our team’s expertise in all things app and AI makes us the perfect fit for your project.

Tell us about your app in the form below so we can bring your vision to life.