6 Reasons To Use Artificial Intelligence In Mobile Apps

AI or artificial intelligence in mobile apps has many appreneurs, businesses, and developers asking questions. Many of these questions surround the feasibility and implementation of this trailblazing technology in today’s apps. There are also concerns that artificial intelligence is currently in a hype bubble. 

The good news is that leading large language model (LLM) platforms like Bard, ChatGPT, and Copilot make implementation easy via their well-documented application programming interfaces (APIs). But the bad news is that there’s significant hype driven primarily by AI evangelists and the media. This hype often misleads users, developers, and business leaders into thinking that AI is a silver bullet to their problems.

While there’s little doubt that AI can radically boost efficiency, productivity, and workflows, it won’t necessarily deliver the desired results. You can use ChatGPT to write an elaborate blog post about any topic imaginable, but it won’t always be factually accurate or contain the most up-to-date information. You’ll still need to fact-check all the information in your post, read through it a few times, and make several edits before you have an article that’s worth publishing.

As you can tell, some level of human intervention is still necessary regardless of how well LLMs have advanced. But you should still use artificial intelligence in mobile apps to deliver solutions that will make life easier for your customers, employees, and users. The solutions will automate arduous tasks, minimize business costs, and help users boost their creativity.

Mobile apps that facilitate the right mix of human interactivity and generative AI output will change the game in 2024 and beyond. Here’s why you should use AI in your upcoming app project.

1. Stay Ahead By Implementing Artificial Intelligence In 2024

The media may make you think generative AI is enjoying wide adoption, but this isn’t the case. It’s still an emerging technology that had a breakout year in 2023 but hasn’t quite hit the mainstream yet. Will 2024 be the year that this happens, or will the pundits be proven wrong?

Forrester analysts provide several predictions and arguments in favor of adopting generative AI soon:

• More than 90% of enterprises plan to implement generative AI for internal uses and customer service. 
• Almost 50% of enterprises predict that generative AI will help them attain their productivity objectives. 
• Approximately 60% of employees will undergo prompt training in 2024. 
• Bring your own AI (BYOAI) will become commonplace in many enterprises in 2024. 
• AI will heavily impact the human resources (HR) departments by analyzing employee data. 
• AI bots and tools will continue to enhance developer productivity, but companies should not ignore potential security issues.
• Data protection and privacy will play a central role in 2024 as authorities push for legislation to deal with the risks associated with AI. 
• Governance is essential to deal with copyright violations and to ensure a safer and more ethical environment involving generative AI. 

2. Artificial Intelligence In Mobile Apps Facilitates Efficient Content Creation

Businesses, marketers, and influencers must post regularly on social media to build and sustain a reasonably-sized following. Back in the early days of social media — this was easy — due to the minimal availability of feasible mainstream platforms. Just posting on Facebook and Twitter (now X) was enough to gain visibility. 

Nowadays, Instagram, TikTok, and YouTube have become indispensable for targeting Millennials and Gen Z consumers. So, you must be constantly active on at least five platforms to maximize your reach. But that’s demanding, as you must also post quality content relevant to your audience. Can you do this consistently while running your business or leading a team?

You’ll likely burn out wearing multiple hats during the workday, negatively impacting your health and productivity in the long term. One solution is to hire social media marketing experts to handle all your social channels. They’ll create content, post regularly, and engage with your audience, but all this is costly. Expect to pay between $500 and $5,000 monthly for these services. 

If you’re a small business owner or starting as an influencer or creative, even a $500 monthly fee may cause you to overshoot your budget over a long period. However, generative artificial intelligence in mobile apps can lead to a remarkable content creation and social media posting solution. If you team up with a reputable studio like NS804, you can build a generative AI-powered app custom-built to your needs. 

You may use multiple generative AI platforms to train your models based on your own text, images, and videos. Then, by inputting a sequence of prompts on your custom-built app, you can generate and post on-brand marketing copy, images, and videos across all your social channels with minimal work.

3. Create High-Quality Videos With Generative AI

We’ve already discussed why you should utilize more social media platforms, particularly the newer impactful ones. But you must create distinctive and humorous short-form videos to make it on TikTok and more in-depth and professional-level videos to captivate YouTube fans. For professional results, you must invest in video production equipment and lighting. Then, learn the skills to use these effectively with video editing suites. 

But that’s not enough, as you’ll still need to write a video script, build a set, and hire a cast and a crew. Of course, you can outsource most of this work to a professional video production company. Depending on the quality and length of your videos, you could pay as little as $500 and possibly over $100,000. Some production companies will work with you on yearly contracts and charge between $15,000 and $100,000.

As you can tell, it’s cost-prohibitive to compete with top trending video content creators and deep-pocketed enterprises. However, things have changed, especially after OpenAI announced Sora — a trailblazing text-to-video tool designed for generating intricate scenes. 

Sora shocked and amazed the entire video production industry and even caught the attention of Tyler Perry. The world-renowned filmmaker decided to stop the expansion of his studio since this would no longer be necessary with generative AI tools like Sora. He reportedly claimed that these tools save costs but will cause many job losses in the film industry.

While this sounds grim, Sora and similar tools will democratize professional video production soon. And this is an excellent reason to use artificial intelligence in mobile apps aimed primarily at video generation. These apps will find traction in most business environments but also with content creators seeking cost-effective solutions that simplify the entire video production process.

4. Generative AI Enhances The Employee Experience

As a business leader, you want your employees to perform at their best, even when facing organizational change or unsatisfactory task distribution. In more extreme cases, you want employees to perform adequately when key staff members aren’t available. So, you’ll need to implement the tools and methodologies to ensure all your employees stay on track under these scenarios.

Implementing communication and project management platforms like Microsoft Teams, Slack, and Trello is a first step. But your business is unique, so you still need a custom solution that addresses all its needs and covers the blind spots other platforms miss. That’s why you can’t ignore the power and versatility that generative AI brings forth. 

You can train your generative models on employee data by including their work roles, productivity, and skills. Your AI model will help you look at your employee data holistically and help you pinpoint any potential productivity bottlenecks or staff shortages early on. Be sure to comply with data and privacy legislation in your region when collecting and analyzing employee data. 

Another benefit of analyzing employee data is you’ll detect notable workforce trends that impact your organization. If you employ a large workforce, it’s often difficult to accurately determine employee retention rates and the overall success of your human resources (HR) department. Traditionally, you’d hire expensive consultants to figure this out for you — but now — your generative AI model will deliver detailed reports in record time and at little cost. 

Building a custom internal app allows your employees to collaborate and complete all their tasks, and you can pull all this data in real-time. The app can also let your employees provide feedback that will help you improve work conditions and the overall employee experience.

5. Use Artificial Intelligence In Mobile Apps To Transform Customer Service

It’s no secret that AI chatbots are very effective at offering customer service around the clock. But how well do they resolve customer complaints and deliver satisfactory service to rival a human agent? It ultimately depends on the capabilities of the AI chatbot platform you decide to use. 

You can choose from several notable chatbot platforms available today, like Botpress, Dialogflow, and UChat. Botpress is ideal for creating conversational chatbots for organizations of all sizes. Dialogflow is Google’s feature-rich solution for building versatile and scalable chatbots and voicebots. Then, there’s UChat, aimed at digital marketers and small business owners who want a simple solution that integrates with all their social channels.   

Of course, there are many more AI chatbots in the marketplace. But instead of trying to find a solution that’s a good fit for your organization, you could always build a custom solution that addresses all your needs. Moreover, you can avoid the monthly fees and limitations these chatbot platforms will subsequently impose on your organization. 

More importantly, you have some control over the intelligence of your custom AI chatbot solution. Before the availability of generative AI chatbots, traditional chatbots weren’t particularly smart since they followed set rules. Thus, these could never convince anyone that they were nothing more than customer-facing bots. 

Once the GPT-5 LLM is available, convincing human-like interactions will become the norm. But you can achieve impressive results depending on how well you train your AI chatbot using GPT-4. You’ll need to collect large datasets of human interactions and then prepare these for training by removing unnecessary datasets. After you train your model, evaluate the results before deploying to all your customer-facing channels.

6. Improve Order Fulfillment With AI

While your organization doesn’t have control of the entire supply chain, it can impact the order fulfillment process. And this segment of your business should run like a well-oiled machine that responds to all types of scenarios like delays, stock shortages, and logistics issues. As a first step, you must implement an order management system (OMS) that’s right for your company structure. 

Then, you’ll need to pick an order fulfillment strategy your organization can handle. For example, if you have enough storage space, employees, and skills, you’ll go with an in-house order fulfillment. But if you don’t have these resources, it’s better to outsource fulfillment to a third party. 

Regardless of your strategy, you should become proficient in forecasting and planning every step to avoid wastage and costly interruptions in order fulfillment. However, you can drastically reduce the guesswork by integrating AI into your order fulfillment operations. Of course, it’s best to do this from day one of your operations, but there’s little harm in integrating AI in due course. 

Using artificial intelligence in mobile apps that aid order fulfillment will help your staff quickly ascertain all current and future inventory levels. They can accurately predict when they’ll run low on inventory and when to order from suppliers. Thus, your company won’t have to turn away customers due to unavailable stock. 

AI-powered order fulfillment is essential for large organizations, but small retailers benefit also. For sustainability reasons alone, retailers must reduce inventory waste. A well-trained inventory model will alert them when they’re ordering too much or too little of a specific item. They can further improve the accuracy of this model with sales and store visitor data.

The Bottom Line

The hype surrounding generative AI is astounding, but so is the technology. We expect future iterations of LLMs to improve and impact even more industries. Also, we expect the use cases to grow exponentially as appreneurs, businesses, and users embrace AI in 2024. Contact us today to learn how NS804 can help you build and use artificial intelligence in mobile apps that will drive growth from now on!