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.

1. 5 Machine Learning Case
Studies to explore the Power
of Technology

2. 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

3. 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.

4. “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.

5. 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.
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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.

6. 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.

7. 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.
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