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Boosting Customer Engagement:
Turn Streams of Data into Action
with PCF and GCP
DEMO
Mike Goddard, Prasad Bopardikar, and Scott Truitt
INTROS
Advisory Field Engineer,
Global Ecosystem Team
Mike Goddard
@linuxologist
Advisory Field Engineer,
Global Ecosystem Team
Prasad Bopardikar
@prasadb26
Principal Product Manager,
Global Ecosystem Team
Scott Truitt
@sct
CONTEXT
Amazon changed retailing
with software and data
Reality check:
(They change it again every 10 seconds)
Low cost Fast delivery Predictable
And with it, customer expectations
Friction-free
tl;dr: don’t make me think!
“Our customers are loyal to us right
until the second somebody offers
them a better service.”
https://www.fastcompany.com/3067455/why-amazon-is-the-worlds-most-innovative-company-of-2017
A superior customer experience is now
a competitive advantage for retailers
THESIS
AN IDEA
We made up a retailer: @bohochicsf
We made up a customer: @miapisjef
Use Mia’s social media data to create
a personalized sale offer
EXPERIMENT
Respond in seconds with a personalized offer
Architecture

• Pivotal Cloud Foundry runs
Spring and Python apps,
and brokers connections to
Google Cloud services
• Spring Cloud Data Flow
serves as the data pipeline
for ingesting and processing
Mia’s activity
• Google Cloud data and
machine learning services
do the heavy lifting of
processing raw data,
deriving insights, and
making them actionable

Result

A team of two developers, two
designers, and one PM made
this in six weeks
Thanks!
@sct
struitt@pivotal.io

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Boosting Customer Engagement