5 Machine Learning Case Studies to explore the Power of Technology

Machine Learning Case Studies – Power that is beyond imagination!

Machine Learning is hyped as the “next big thing” and is being put into practice by most of the businesses. It has also achieved a prominent role in areas of computer science such as information retrieval, database consistency, and spam detection to be a part of businesses.

WAIT! Before proceeding ahead, first, you must complete the Machine Learning Use Cases

Here are a few real-world case studies on machine learning applications to solve real problems.

Machine Learning Case Studies

Here are the five best machine learning case studies explained:

1. Machine Learning Case Study on Dell

The multinational leader in technology, Dell, empowers people and communities from across the globe with superior software and hardware. Since data is a core part of Dell’s hard drive, their marketing team needed a data-driven solution that supercharges response rates and displays why certain words and phrases outperform others.

Dell partnered with Persado, the world’s leading technology in AI and ML generated marketing creative, to harness the power of words in their email channel and garner data-driven analytics for each of their key audiences.

As a result of this partnership, Dell noticed a 50% average increase in CTR and a 46% average increase in responses from customers. It also generated a 22% average increase in page visits and a 77% average increase in add-to-carts.

Excited by their success and learnings with email, Dell was eager to elevate their entire marketing platform with Persado. Dell now uses machine learning to improve the marketing copy of their promotional and lifecycle emails, Facebook ads, display banners, direct mail, and even radio content.

Do you know – How Facebook uses Data Science

2. Machine Learning Case Study on Sky

Sky UK transforms customer experiences with the help of machine learning and artificial intelligence through Adobe Sensei.

“We have 22.5 million very diverse customers. Even attempting to divide people by their favorite television genre can result in pretty broad segments.” said the Head of Digital Decisioning and Analytics, Sky UK.

This will:

• Create hyper-focused segments to engage customers.
• Use machine learning to deliver actionable intelligence.
• Improve relationships with customers.
• Apply AI learnings across channels to understand what matters to customers.

The company was able to make sense of its large volumes of customer information with the help of machine learning frameworks to recommend them with products and services that resonated the most with each customer.

“People think of machine learning as a tool for delivering experiences that are strictly defined and very robotic, but it’s actually the opposite. With Adobe Sensei, we’re drawing a line that connects customer intelligence and personalized experiences that are valuable and appropriate” says McLaughlin.

3. Machine Learning Case Study on Trendyol

Trendyol which is a leading e-commerce company based in Turkey faced threat from global competitors like Adidas and ASOS, particularly for sportswear.

To help gain customer loyalty and enhance its emailing system, it partnered with vendor Liveclicker, which specializes in real-time personalization.

Trendyol used machine learning and artificial intelligence to create several highly personalized marketing campaigns. It also helped to distinguish which messages would be most relevant to which customers. It also created an offer for a football jersey imposing the recipient’s name on the back to ramp up personalization.

By creatively using one-to-one personalization, the retailer’s open rates, click-through rates, conversions, and sales reached all-time highs. It generated a 30% increase in click-through rates for Trendyol, a 62% growth in response rates, and an impressive 130% increase in conversion rates.

It has now also employed strong marketing functions like social media utilization, mobile app, SEO blogs, celebrity endorsement, etc to reach its customer base.

Become an AI Expert by completing the Artificial Intelligence Tutorial Series by DataFlair

4. Machine Learning Case Study on Harley Davidson

The place we are in today is where it is difficult to break through traditional marketing. For a business like – Harley Davidson NYC, Albert (an artificial intelligence-powered robot) has a lot of appeal. Powered by machine learning and artificial intelligence, robots are writing news stories, working in hotels, managing traffic, and even running McDonald’s.

Albert can be applied to various marketing channels including social media and email. The software predicts which consumers are most likely to convert and adjusts personal creative copies on its own.

Harley Davidson is the only brand to make use of Albert. The company analyzed customer data to determine the behavior of previous customers whose actions were positive in terms of purchasing and spending more than the average amount of time on browsing through the website. With this information, Albert created segments of customers and scaled up the test campaigns accordingly.

Results show that Harley Davidson increased its sales by 40% with the use of Albert. The brand also had a 2,930% increase in leads, with 50% of those from high converting ‘lookalikes’ identified by artificial intelligence and machine learning.

5. Machine Learning Case Study on Yelp

While Yelp might not seem to be a tech company at first glance, it is taking advantage of machine learning to improve users’ experience.

Yelp’s machine learning algorithms help the company’s human staff to collect, categorize, and label images more efficiently. Since images are almost as vital to Yelp as user reviews themselves, it is always trying to improve how it handles image processing. Through this, the company is serving millions of its users now.

For an entire generation today, taking photos of their food has become second nature and thanks to these people because of whom Yelp has such a huge database of photos. Its software uses techniques for analysis of the image to identify color, texture, and shape. It means that it can recognize the presence of say, pizzas, or whether a restaurant has outdoor seating.

As a result, the company is now able to predict attributes like ‘good for kids’ and ‘classy ambiance’ with more than 80% accuracy. It is also planning to use this information to auto-caption images and improve search recommendations in the future.

These were all the machine learning case study examples.

Summary

These case studies of machine learning listed above would have been almost impossible to even think as recently as a decade ago, and yet the pace at which scientists and researchers are advancing is nothing short of amazing. In the coming future, we’ll see that machine learning can recognize, alter, and improve upon their own internal architecture with minimal human intervention.

The next article in the machine learning tutorial series by DataFlair – Machine Learning Infographic for Beginners

Would you like to add any other case study in machine learning? Share your views in the comment section.