Machine learning has gained significant traction in enterprise applications as it aids in delivering personalized user experiences across devices. When it comes to enterprise web app development, the use cases of machine learning have increased by leaps and bounds. After surpassing the $15 billion mark in 2021, the machine learning market is headed for new milestones. As predicted by the leading market research store, Research and Markets, the machine learning market is expected to hit the $40 billion mark by the end of 2025.
With soaring use cases and applications, new businesses are adopting this cutting-edge technology to improve their website user experiences. Besides, with tech giants like Amazon, Google, and Microsoft coming head-to-head with their innovations, it’s only adding more heat to the competition.
This blog post highlights the most crucial business use cases of machine learning in enterprise web app development. For each use case, we also provide examples of similar features being used by industry giants and fortune 500 companies.
The social networking giant, Twitter uses ML algorithms to auto-correct pictures tagged by users in their posts. This is done with the implementation of neural networks that turn images uploaded by the users into low-resolution preview images. This also resolves the thumbnail issue that Twitter users had been experiencing for quite a long period of time.
The leading technology company, Apple has filed a new patent recently to prioritize cross-device personalization using Machine Learning. Owing to these new technological developments, it’s quite likely that you may soon see a user’s Apple Watch suggesting an iTunes playlist, matching the user’s heartbeat goal in another app.
If you are running an eCommerce store, delivering personalized website user experiences goes a long way towards amplifying your sales benefits. The Chinese retail giant, Alibaba was the first to adopt this approach to boost their website’s user engagement. As of today, all popular eCommerce websites have embedded AI and machine learning algorithms to deliver personalized online shopping experiences across devices. Here, customers are shown personalized product recommendations based on their browsing history and past purchases.
Chatbots have gained immense popularity in enterprise web app development because of their ability to engage users or website visitors. They are also intended to deliver personalized user experiences and addressing general queries of customers by virtue of AI, natural language processing, and machine learning. There are ample applications of chatbots in enterprise websites that cater to the needs of both B2B and B2C industries. The AI-powered chatbots have also gained immense popularity in eCommerce apps for addressing customer queries about various products. Other common applications of chatbots include food delivery apps, travel planning apps, and government websites.
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These were some crucial business applications and use cases of machine learning in enterprise web app development. Due to apparent benefits of machine learning in enterprise web app development, more number of companies are investing in these data-driven software technologies. As we step into a digital era, the applications and use cases of AI and machine learning are poised to rise.
At Oodles ERP, we provide end-to-end enterprise web app development services with a focus on implementing next-gen software technologies. Our 360-degree ERP application development services enable enterprises to streamline their operations and achieve higher levels of productivity. To learn more about our enterprise web app development services, reach out at [email protected].