This presentation discusses the acquisition of dynamic yield by McDonald's Corporation and the prospects of implementing this machine learning engine to encourage customer's healthy dietary habits. This presentation is strictly for educational purposes and not intended for use as a business proposal.

1. McDonald's Corporation and
Dynamic Yield
Implementing Dynamic Yield to
encourage customer’s healthy dietary
habit.
MIS 6677 Course Presentation
By : Chukwuemeka Anthony Orji

2. The idea behind the “Plan to win” strategy was to improve customer experience, collect customer
feedback and utilize the data to optimize business and sales operations .
McDonalds corporation has taken this idea a step forward by acquiring “Dynamic yield” which is a
machine learning tool that provides personalized user engagement solutions and customer
experiences
https://www.youtube.com/watch?v=wsBtRjiB4-o

3. Benefits of
integrating
Dynamic yield
into
McDonald's
business
intelligence
platforms
provide a better customer data
platform (CDP) that will
integrate disparate customer
data into a single source
create explicit customer target
segments that will help for
efficient market segmentation
and target marketing
with affinity-based
personalization and cluster
analysis ,implement industry
specific personalization
campaigns
provide models that will ensure
agile execution methods

4. Implementing Dynamic yield to
encourage healthy dietary habits
• Imagine a fast food company that pays attention to
enhancing customer's dietary habit
• MYS- allows customers choose order dressing
• How will this work?
• With Dynamic yield McDonalds can create a
personalized customer ordering service based on
customer health and fitness records and provide meal
suggestions that meet the customer’s health
requirements

5. Implementing Dynamic
yield for healthy meal
recommendations
1.Data Collection: This will involve
collecting the right customer health
and fitness records.
• Dynamic yield allows for
interoperability of data and can
collect data from different data
sources (e.g. ihealth, fit-bit,
google fit)
• The corporation already stores
nutrition and ingredient
information of every menu.
2.Data Aggregation: This is
compiling of data gathered with
intent to prepare the combined
datasets for data processing.
3. Machine Learning : Algorithm
creation and testing

7. Fig 1. Flow chart of the Dynamic yield machine language
personalization process

8. Benefits of
implementation
of this platform
Enhances customer healthy eating habits
Reduces public accusations of the company as
the major cause of obesity in America
May eliminate very elaborate and expensive
healthy eating fitness programs and advisers
Individuals may take active control and
monitor effectively their dietary content since
it is made available on the ordering interface

9. Limitations of
this platform
Collecting the data may be a
limiting factor
The machine learning process
may involve a complex set of
algorithms

10. Recommendation and conclusion
• I believe this is an idea the corporation can do some research on.
Dynamic Yield program is still at its infancy and there is room for
R&D, DY has a lot of prospects and if properly integrated into the
corporation BI practices we can say McDonalds is really prepared for
the 4th industrial revolution.
• Since the corporation is really concerned about customers experience,
this idea would go a long way to show how involved they are with the
customers , by not just selling food to them or creating an avenue where
they can select their own choice of meals (i.e. using Made for you
system ), but also recommending personalized healthy dietary menus
that suits customer’s health and fitness needs.

11. Reference
• McDonald’s and Dynamic Yield.(2019,March 25). Fast-Tracking Our
Transformation. https://www.youtube.com/watch?v=wsBtRjiB4-o
• Meet Dynamic Yield's AI Powered Omnichannel Personalization
Technology.(2018,Jan 4).
https://www.youtube.com/watch?v=sLyL6HuKIsk&t=16s