Why You Should Adopt Machine Learning in Your App

17 Jun 2021

Machine learning is powering a new generation of app innovation, and it’s hard to find an industry that’s not benefitting from artificial intelligence (AI).


In this article, we’ll be delving into how machine learning is transforming three specific industries and types of apps, and why you need to adopt it to grow your business… especially if it falls under one of these categories.



1. Fitness


Machine learning is revolutionising the fitness industry before our eyes. As we can see, machine learning and digital wearables like Apple Watch and Fitbit are a natural fit for the fitness industry because most of these products have already adopted artificial intelligence in their solutions.


How?


Until recently, if you wanted a sustainable and effective workout routine, you’d need to consult a fitness professional who knew what works and what doesn’t. Nowadays, thanks to machine learning, apps like Freeletics can collect information about a user then analyse it to create a workout routine that’s tailored to their needs, goals, progress, and physical conditions.



Though Freelectis doesn’t claim to be superior to a human trainer, CEO Danial Sobhani has revealed that 85% of their users rate their workout as ‘perfect’ – and it’s all thanks to machine learning.



2. E-commerce


Machine learning is revamping the field as we speak. E-commerce apps like Amazon and eBay are leveraging machine learning to open up new opportunities to improve customer satisfaction, which leads to an increase in sales.


How?


Smart product search, relevant promotions, and personalised product recommendations are only some of the ways machine learning is helping e-commerce apps level up their customer experience.


Machine learning algorithms achieve this by gathering and analysing the customer behavioural data that it’s collected throughout the user’s buying journey, from their search history to their spending habits. Using this data, they can offer customers a more individualistic shopping experience based on their preferences.



3. Social Media


It might come as a surprise to you that many social media posts are ideated, published, and managed by artificial intelligence. That’s right, AI in social media is so widespread that the industry is predicted to be worth more than $2 billion by 2023!



How?


The common uses of social media AI tools are to evaluate the effectiveness of older posts and schedule new ones, but as the tech landscape evolves, more tools will become available that can…


  • Help you identify online trends

  • Auto-generate wording

  • Suggest relevant emojis and hashtags

  • Localise your content to reach wider audiences

These tools are particularly useful for social media marketers who would otherwise have to spend most of their valuable time researching, crafting content, and crunching the numbers to assess how their content is performing.



Is your app ready for the revolution?


Machine learning is revolutionising how we create and interact with apps, and every company wants to stay at the forefront of the movement. If you’re one of these companies, then we may be able to help you!


Talk to us about app goals via hello@digitalworkroom.co.uk or connect with us on LinkedIn, Facebook, Twitter, and Instagram.