Predictive analytics is at the core of machine learning applications in the retail industry. By using historical data, retailers can calculate lifetime value, optimize inventory, and even identify new product opportunities. This presentation looks at how predictive analytics can be applied, using the example of Nike.

1. SEPTEMBER27,2019
Clark Boyd
Predictive
Analytics

2. 27th September, 2019
The power of prediction
How predictive analytics works
Nike Case Study
How to get started
Presentation
Overview

3. "MODERN ARTIFICIAL
INTELLIGENCE IS
REALLY A
PREDICTION
TECHNOLOGY."
Thepowerofprediction
Prediction Machines

4. Predictive Analytics
This system depends on prediction.
Based on the values in the data, it
must predict what it is in the image.
Many companies are based on the
same principle. When we search on
Google, it predicts what we want to
see; Amazon recommends products
we will like; a self-driving car
predicts what signals will mean.

5. 463
EXABYTES of data will be
created every single day by
2025.

6. 0.5%
of all data created today is
analyzed by businesses.

7. Predictive analytics
takes information
we do have, then
uses it to generate
information we
don't have.

8. "90 PERCENT OF WHAT MOST
PEOPLE DO IN ANY DAY
CAN BE PREDICTED
WITH JUST A FEW
MATHEMATICAL EQUATIONS."
Thepowerofprediction
MIT

9. Customer Lifetime Value
Product Recommendations Customer Retention
Demand Forecasting
Fraud DetectionInventory Optimisation
Credit Applications
Translations
Image Classification
Uses of Predictive Analytics

10. How Nike
Uses
Predictive
Analytics
CaseStudy

11. Nike has developed a
huge database of
customer data.
This goes beyond
purchase data to
understand how they
use the products, what
music they listen to,
and even their health
information.
Hustle Loft Coworking
Start hustling
with us.
Predictive Analytics

12. “THE MORE YOU USE NIKE.COM
AND THE NIKE APPS, THE BETTER
NIKE CAN GET TO KNOW YOU AND
SERVE YOU WITH PROMOTIONS
TAILORED TO YOUR INTERESTS
AND GOALS.”
Thepowerofprediction
Nike Company Statement

13. However, companies must
have access to all of their
customer data to achieve
this.
Retailers will want to cut
out the middlemen to
ensure they have control
of the customer
relationship.
Predictive Analytics

14. Predictive Analytics
Nike can identify new
insights about its
customers based on
their interests, rather
than just their
demographics.
This can influence
product
creation,content
marketing, and in-store
experiences.

15. Predictive Analytics

16. Retailers use predictive
analytics to figure out
what we will buy. Then,
they ship the products to
a warehouse closer to our
home.
Soon, they will start
delivering the items
before we order them.
Amazon is working on this
now and companies like
Nike will follow suit.
Predictive Analytics

17. Clear Challenge Historical Data Technology Partner
What You Need to Get
Started

18. LinkedIn
https://www.linkedin.com/in/clark
-boyd-digital/
Twitter
@ClarkBoyd
Email Address
clarkboyd15@gmail.com
Get in touch!
Gracias!