Machine learning is redesigning services for the whole business world nowadays. It is making devices as well as applications smarter than humans, allowing them to generate decisions on their own and offer a better experience.
In future, the number of businesses spending on Machine Learning will obtain doubled (about 65%). Machine learning, on a world scale, creates mobile platforms more straightforward to utilise, enhances the customer experience, sustains customer loyalty, as well as aids and generates consistent omnichannel experiences.
Advanced searching functionality
Machine learning solutions ensure users can optimise their experience on the application. It offers improved as well as more contextual results and the search more intuitive and less troublesome for the clients.
It is because the machine learning algorithms learn from customer queries in order to fine-tune results to the needs of the consumer.
Modern applications allow you to gather complete available information about your customers, such as search histories as well as regular activities. You may utilise this information along with behavioural data as well as search requests to rank products as well as services. Furthermore, you may update your application with spelling as well as voice search corrections.
Now, let’s consider some mobile app ideas where you may implement machine learning technology:
The utilization of machine learning in online e-commerce apps may offer customers with relevant search results while they find for products. Such functionalities will aid the app to recommend products depending on user preference. Some apps could even predict fashion trends as well as news on offers and deals. Most of our ecommerce sites and applications make use of machine learning.
Mobile finance apps
Mobile finance apps with machine learning integrated may observe your transaction history as well as provide suitable deals. Such apps may also be utilised to maintain the income and expenditure of a customer by linking their credit cards as well as accounts. Erica is one such ML powered voice supporter that helps with handling your finances.
If a machine learning algorithm has access to millions of healthcare database corresponding to every different diseases, it can suggest a perfect path of treatment as well as medication.
Similarly, fitness apps and consumer healthcare apps track health and fitness data of millions of people and provide valuable insights on trends concerning lifestyle-related diseases. These may recommend treatments as well.
Transportation Oriented apps
Such transportation apps may shed light on factors such as the expected time of arrival as well as a detailed description of the journey with real-time tracking on maps as well as many more.
What do you think about machine learning? Boon and an ever-intrusive bane?