1.
USES OF BIG DATA IN
RETAIL

2.
What is Big Data?
■ Any voluminous amount
of structured, semi-
structured and
unstructured data that
has the potential to be
mined for information
■ Large/complex data sets
that traditional data
processing applications
cannot deal with

3.
What is Big Data?
■ Often refers to the use of
■ Predictive analytics
■ User behavior analytics
■ Certain other advanced data analytics methods that
extract value from data

4.
Big Data Overview

5.
How is Retail Leveraging Big Data?
■ Changing how retailers approach customer
personalization and assortment planning
■ Identifying product attribute drivers
■ Collecting customer sentiment and social media data
■ Uncovering influential customers through social
media
■ Analyzing loyalty programs to identify profitable
customers
■ Creating store clusters based on customer data

6.
How is Retail Leveraging Big Data?
■ Recommendation Engines
■ Based on a customer’s purchase history, what is he/she
likely to purchase next?
■ Customer 360
■ Customers expect companies to
■ Anticipate their needs
■ Have the products wanted on-hand
■ Communicate in real time (via social media)
■ Adapt to their needs as they change

7.
How is Retail Leveraging Big Data?
■ Path to Purchase
■ Analyzing a purchase or the path to
purchase
■ Price Optimization
■ The right price on a product can
mean the difference between
making a sale and losing a
customer
■ Fraud Detection
■ The use of predictive capabilities to
create a baseline sales forecast at
the Stock Keeping Unit (SKU) level
■ If a product deviates noticeably
outside of that range, it could
indicate some fishy business

8.
Future of Retail Using Big Data
■ Big Data and IoT
■ Stores will be enabled with
sensors that detect a nearby
shopper with the app on their
phone or tablet
■ The app will deliver timely
incentives and offers to help
■ Turn over more products
■ Introduce shoppers to new
products that they were not
aware of

9.
Future of Retail Using Big Data
■ Big Data and social media
■ With better data analytics,
retailers can filter out all of
the useless noise and zero in
on real data which applies to
what they need to know
■ Their customers
■ Public perception of their
brands
■ How people respond to their
products

10.
Future of Retail Using Big Data
■ Big Data and pricing
■ Big Data can also be used to
establish better pricing models
like
■ Would customers pay more if the
product included X feature?
■ Would the product sell more if
the price was $1 less?

11.
Future of Retail Using Big Data
■ Big Data and supply chain
■ Determine the region where a
new product is going to be the
most/least popular and the
best route to get more stock
delivered there

12.
Future of Retail Using Big Data
■ Big Data and store designs
■ Big Data can help with
■ Product placement
■ Display colors and styles
■ Floor plans
■ Arrangements of cash registers
■ Staffing and scheduling
■ Some stores have improved
revenue significantly by making
minor adjustments to the
layout of their retail stores

13.
More Information
■ If you have an idea or want to innovate, contact us on:
www.extentia.com/contact-us
■ Write to inquiries(at)extentia.com or
call +91 20 6728 5200 (India)/+1-408-627-4094
(United States)