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How AI Technology Will Run the Future of Mobile App Personalization

You’re in the office and it’s natural for you to feel hunger pangs at 1 in the afternoon. So, it’s a routine task to grab your smartphone around 12:30 pm every day and order your lunch using a food app. So, you first open the app, choose a restaurant and an item on the menu, select your delivery address, and then finally pay to get the food delivered for satiation. But, spending 10 minutes in the same mundane process every day no longer feels to be a pleasing experience.

How Artificial Intelligence (AI) reshapes the Way You Interact with Mobile Apps

Now imagine, you get a new food app that can copy your intelligence and learn from your food ordering behavior for 10 days, so much so that it can take action on its own to fulfill your intent. The app learns that you order a salad on Monday from Hale and Hearty, sandwiches and burgers on Tuesday and Wednesday from McDonald's, Pizza on Thursday from Domino’s and chicken on Friday from KFC. At sharp 12:30 Wednesday, you get a notification “order burger from McDonald’s”. And then pops up another notification “30% discount on Double Bacon Smokehouse Burger”. You simply click or use your voice command “place order” and your order gets delivered.

The food app handled your delivery address, payment and everything on its own... you just thanked your app for scraping the rigmarole and treating you as an individual with own set of preferences like everybody else.

Well, this is the level of personalization mobile app users are now looking for to which AI is certainly the key. So, are we are already there? The answer is a yes, thanks to big advancements and hefty investments already being made in AI to bring an all-new level of in-depth and predictive mobile app performance. We can’t think of AI without having a mention of Apple’s Siri and Cortana, Google Assistant and Amazon’s Alexa, making it possible for users to even go touchless to answer questions, track down information, send messages, launch services, and more.

Now arises a bigger question, what all it takes to build robust AI that mimics human intelligence?

We first must understand that AI is a polymorphous concept and it learns from user demographics, inputs and behavior patterns to deduce user intent and respond accordingly. Which means AI apps gather piles of user data and make big data, machine learning (ML), natural language processing, machine vision, knowledge management and problem-solving pivotal to their success.

Machine learning and predictive AI algorithms are being increasingly integrated into shopping apps now to predict what a customer is likely to buy based on their previous buying and browse history. So, you get suggestions based on your preferred choices, not serving you the plate of somebody else that doesn’t suit your palate. So, throwing the same content to everybody will soon become the thing of the past with content delivery becoming more personalized, sensible and logical with AI.

For instance, Recent News is an AI-powered app that analyzes your reading habits to show you only those articles and news that you love. So, AI makes content delivery go free of a scattershot approach, keeping it intact to your choices.

Among other AI app examples that use machine learning are Socratic and Microsoft Pix. The former is a tutor app that helps students find answers to questions related to Biology, Algebra, Chemistry, English Grammar, History, Economics and more. By using cutting-edge computer vision technologies, the app deciphers questions from images and provides explanations and videos for step-by-step help.

Microsoft Pix is a photo app that uses AI to give you the best shot. It captures 10 frames with every click and uses AI to choose the best three shots and delete the rest. AI in the lens analyzes scene and lighting between each shutter click and adjusts accordingly between each shot. It’s a kind of photographer in the camera that automatically optimizes capture settings to give you the best shot.

AI is the way forward for mobile app businesses to retain users by facilitating highly interactive, engaging and personalized experiences. More and more IT and app development companies are moving towards AI technology and the time is not far when devices will respond more actively than humans. You may soon wake up one day with your phone tracking your health and telling you if you’re ill or not. If ill, the phone will make a doctor appointment, share your medical data, make a note of your prescription and send it to pharmacy to get the medication delivered.

How Evon can help build Your AI App Startup

Evon Technologies has the competency in the AI space to help shape your AI app idea into a reality. Highly capable and proficient developers at Evon use cognitive APIs, machine learning algorithms, deep learning techniques, and big data analytics to guarantee top-level reasoning and exact fulfillment of the users’ intent. Contact us if you have an AI app idea and we will collaborate with you at every step to bring it to the market fast and meet the changing demands of today’s app users.

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