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customer segmentation


MakeMyTrip Dynamic Pricing

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MakeMyTrip is an Indian online travel company founded in 2000. Headquartered in Gurugram, Haryana, the company provides online travel services including flight tickets, domestic and international holiday packages, hotel reservations, rail, and bus tickets. With over 47% market share, MakeMyTrip is India's first and biggest travel company. In fact, one in every four passengers at an airport is their customer. As of 31 March 2018, they have 7 million monthly active users with14 company-owned travel stores in 14 cities, over 30 franchisee-owned travel stores in 28 cities, and counters in four major airports in India.


AI Key To Making First-Party Data Work

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Artificial intelligence (AI)-powered marketing technologies communicate with consumers and know what they want long before marketers do. The mathematical calculations wrapped in a bunch of data will become more important to marketers as technology advances. There is not enough information on how AI supports advertising -- just that it does, Google CEO Sundar Pichai told investors and analysts during Alphabet's Q4 2021 and year-end earnings call. He said extensive AI investments continue to help the company lead in Search quality, as well as powering innovations beyond Search. Those innovations span hardware and software.


Customer Segmentation using Machine Learning in Apache Spark - Projects Based Learning

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In this project, we will perform one of the most essential applications of machine learning – Customer Segmentation. We will implement customer segmentation in Apache Spark and Scala, whenever you need to find your best customer. Customer Segmentation is one of the most important applications of unsupervised learning. In this machine learning project, we will make use of K-means clustering which is the essential algorithm for clustering unlabeled datasets. Welcome to this project on Customer Segmentation using Apache Spark Machine Learning using Apache Zeppelin platform which allows you to execute your spark code in Apache Zeppelin notebook.


Master Data Management: Cornerstone of Explainable and Optimized ML models

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A recent Accenture research on the state of machine learning (ML) in enterprises indicates 84% of C-suite executives believe they must leverage artificial intelligence (AI) to achieve their growth objectives, yet 76% report they struggle with how to scale. The key challenges in scaling ML in enterprises are availability of quality data and ability to explain ML outcomes; here we will discuss how Master Data Management (MDM) can help address these challenges. In 1959, Arthur Samuel defined machine learning as "... gives computers the ability to learn without being explicitly programmed". And how exactly is that achieved? At its core, machine learning is the application of statistical methods to uncover patterns in the training data and make predictions or decisions without being explicitly programmed.


Customer Segmentation using K-Means Clustering

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Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. "The aim of marketing is to know and understand the customer so well the product or service fits him and sells itself".


Customer Segmentation

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Machine Learning systems can be classified according to the amount and type of supervision they get during training. There are four major categories: Supervised Learning, Unsupervised Learning, Semisupervised Learning ad Reinforcement Learning. In this section, we will be talking about Unsupervised Learning. In Unsupervised Learning, as you might guess, the training data is unlabeled. The system tries to learn without a teacher.


Top Data Science Guest Authors of 2021 - Analytics Vidhya

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Analytics Vidhya has been at the helm when it comes to publishing high-quality content since the beginning of its inception. From the latest developments to guiding people through the thorns of career, Analytics Vidhya has it all in its blog archives. And this would not have been possible without leveraging the power of the community. And there is no better gift for an organization that has a community eager to teach and learn from each other. So here is the list of top Guest Authors for the year ending 2021.



Why Machine Learning Engineers Are Replacing Data Scientists - AI Summary

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But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets. An ML engineer, on the other hand, will shine at building and optimising data flows, implementing models, and putting them in production. He or she will come from a computer science background, might have less formal education than data scientists, and will be good at programming and understanding cloud infrastructures, for instance. That means many organisations are hiring people to solve basically the same types of problems, over and over again, in parallel. At the same time, we see companies like Google and Amazon, who have some of the best data scientists in the world, working on "ready-to-use" ML systems on their cloud platforms (GCP and AWS, respectively).


Customer Segmentation With Clustering

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Let's say that you work with the sales and marketing team to reach your company's pre-set goals. While your company is doing well in terms of generating revenue and retaining customers, you can not help but think that it can do better. As things stand, the advertisements, promotions, and special offers are homogenous across all customers, which is a serious issue. Engaging with customers in a manner that they won't be receptive to is tantamount to wasting your advertising budget. After all, you don't want your company to spend its limited budget sending diaper coupons to college students or advertising gaming consoles to elderly women.