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    Machine Learning in e-Commerce

    An impressive branch of artificial intelligence, Machine Learning is advancing moreover simplifying the complex operations of the eCommerce world.

    As we all know Machine Learning (ML) has brought a very innovative turn to fourfold the revenue of the e-commerce industry.

    Moreover, the purpose of machine learning technology is to build algorithms that can get input data and set statistical analyses to predict adequate output value.

    How machine learning can benefit eCommerce businesses?

    Machine Learning in e-Commerce - AI

    So, in this article, we will discuss ML Applications and how machine learning is helping in creating better technology to power today’s business plans. Therefore, ML is a transformation that ultimately benefits both sides of the marketplace.

    Makes Data Actionable

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    The ML approach is making the data actionable for the specified purpose. Data is the prime source in the fast-forward eCommerce industry to stay and shine. Smart and appropriate utilization of data is turning online retailers into stable industrialists.

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    Predicts Customers Behavior

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    Machine learning facilitates the merchants to reach target buyers, and analyze their activities and interactions to predict what shoppers will need and do next in order to optimize offers. Henceforth, machine learning observes and predicts the prospect’s future requirements.

    Develops Brand Engagement

    Machine Learning in eCommerce

    ML approach facilitates the online merchants to execute the right action at the right time, on the right channel. The more data the better the analysis of machine learning technology to engage shoppers in more meaningful ways.

    Agility and balance are essential to engage with customers whenever, and wherever they are and it is not possible with human efforts. Enrolling machine learning technologies, that can act on data with swiftness and accuracy.

    Machine Learning Boosts Sales

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    Machine learning algorithms can handle key pricing variables, such as seasonality, supply, and demand. This feature benefits the eCommerce merchant to boost sales with the ability to offer the right price at the right time.

    Even it accommodates the merchant to track specific targets, such as maximum profit or revenue optimization. Machine learning technology additionally excludes the usually deleterious impact of human mistakes or biases.

    Through effective pricing standards implicated by huge data sets, merchants can more correctly set amounts that fulfil all their purposes in a fast and expeditious way with accuracy as well.

    Personalized Product Recommendations

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    The most complex process for store owners is to serve products and services to the customer based on their tastes, preferences, and choices. It’s a difficult task and extreme touch for merchants with a huge customer base.

    That’s why the Personalised Recommendation System is in trend for store customers observed using machine learning technology. Personalization enables increased customer retention through more appropriate and tailored experiences.

    Machine learning algorithms can generate personalized suggestions for best-suited items, instead of promoting outcast items.

    How ML is important for the marketplace and mobile apps?

    Machine Learning in eCommerce

    Do you want to know the simple way to fourfold your business profit, drive more shoppers, boost sales, and give your brand a new height?

    It’s all possible by building a mobile app for your online marketplace. Nowadays, mobile eCommerce apps are winning over the market, reaching many users, and generating profits.

    eCommerce industry is rolling across the globe using AI and Machine Learning in the marketplace and mobile apps

    Henceforth, be it business tycoons, Startups, enthusiastic entrepreneurs, and project managers even we all routinely use knowledge about trending technologies.

    Why a Mobile App for eCommerce Business? We all look for the latest tech turn to win the market and beat competitors and the most advanced tech benchmark is AI and Machine Learning Approach.

    Top 7 Machine Learning Use Cases for eCommerce merchants

    Machine Learning (ML) is reforming the e-commerce trade, improving the industry’s use of Big Data to automate operations moreover flatter the customer experience to the next level.

    Thus, check below drafted Webkul’s Award-Winning Innovative tools and mobile apps that use complex Machine Learning algorithms and AI (Artificial Intelligence) technologies:

    Enhanced Web Store Search Engine

    Elasticsearch is a highly scalable open-source full-text search and analytics engine. So, advance the eCommerce store with the Magento 2 Elasticsearch engine.

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    Additionally, it allows you to store, search, and analyze big volumes of data quickly and in near real time. Henceforth, it is generally used as the underlying engine/technology that powers applications that have complex search features and requirements.

    Amazon Personalize Service

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    The extension integrates Amazon Personalize service into Magento’s online store to provide real-time personalization and machine learning recommendation.

    With this, every customer will have a unique experience on the web store and will view products based on personalized data.

    Virtual Try On

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    Provide your customers to try products in a virtual environment. On the front end, the customer just needs to upload an image using a camera or can browse it from files.

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    Facebook Chatbot

    Add message template for salutation, not found, greeting, product search, and provide instant replies to customers using Facebook Chatbot.

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    Facebook Chatbot is a program developed for the Facebook Messenger platform. It allows businesses to do automated communicate with their customers.

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    The chatbot can send and receive messages from users. Consequently, with the help of this extension, you can set up Facebook Chatbot for your customers.

    Image Recognition-Based Products Tags

    Image Recognition Based Products Tags for Magento 2 module allow the admin to generate the related tags for the products by analyzing the product image.

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    This module uses the AWS Rekognition APIs to analyze the nature of the image. The tags are clickable and visible to the customer on category pages and product pages.

    Product Search Via Image

    Save the time of your customers by allowing them to search the products by an image of your store. Through machine learning, this module recognizes the image uploaded by the customer.

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    Furthermore displays keywords related to the image by clicking on which the related search results get displayed.

    Voice Recognition Alexa Integration

    Allow the eCommerce store customers to use Amazon’s Alexa voice assistant AI technology to do online shopping, order, and listen to order details. Also, the admin can create the JSON module for the skills and deploy them to the Alexa console.

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    Object & Text Detection

    Using artificial intelligence and machine learning technologies, Webkul has innovated the e-commerce mobile app. Enabling the customers to search the products using smartphone camera.

    Watch the video tutorial to know more:

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    In case of any clarification or query regarding the machine learning application, kindly email us at [email protected] or create your ticket at Webkul UVdesk.

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    2 comments

  • Steven
    This blog having a lot of new ideas… Need more as we can gain more knowledge. Thanks very much!
    • Archana Tiwari (Moderator)
      Hello Steven,
      Thanks for the Appreciation. Sure, we’ll be posting more blogs.
      For any query or requirement, please send an email at [email protected].
      Thanks
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