analyzing data, optimizing service experience for retailers

© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.

Dean Samuels Manager, Solutions Architecture – Hong Kong & Taiwan

Amazon Web Services

8th December 2016

Analyzing Data, Optimizing Service Experience for Retailers

“We see our customers as invited guests to a party, and we are the hosts. It’s our job everyday to make

every important aspect of the customer experience a little bit

better.” Jeff Bezos

CEO, Amazon.com

“People think we got big by putting big stores in small towns. Really, we got big by replacing inventory with information”

Sam Walton, Founder of Wal-Mart

Today’s Shopper Journey

Retail Major Objectives

Optimize Personalize Modernize

Modernization Go Mobile Data platform Automation Engagement IOT

Excellence in data Excellence in analytics

Six common categories of investments in Big Data

Experiment and scale based on your business needs

Ingest/ Collect

Consume/ visualize Store Process/

analyze

Data 1 4

0 9 5 Answers &

Insights

SHORT LIST BUSINESS CASES

Modernization Automation

A full-service residential real estate brokerage

Redfin manages data on hundreds of millions

of properties and millions of customers

The Hot Homes algorithm automatically calculates

the likelihood by analyzing more than 500 attributes

of each home

Was fully AWS-native since day one

https://aws.amazon.com/solutions/case-studies/redfin/

Hot Homes

There's an 80% chance this home will sell in the next 11 days – go tour it soon.

Three big indicators of individual behavior

Purchases Movement Influence

A platform to build business outcomes from data

Purchases

Movement

Influence

Ingest/ Collect

Consume/ visualize Store Process/

analyze

1 4 0 9

5

Revenue Lift Market acquisition Customer delight Brand advocacy Inventory optimization Supply chain efficiency ...

Get detail from Ben Roberts

Point to highlight partner ecosystem

•  Personalisation emails based on customer browsing and buying data. Populated with products that customers have browsed but not bought

•  The ability to save size preferences on the types of products that are shown in women wear. That means the site will remember a customer’s size and only show her products that are available in that size

•  Recently viewed recommendations on sites, based on customer browsing history 11 further personalisation initiatives are being piloted, including: •  a personalised style adviser; •  recommendations at some point in the mobile shopping journey; •  personalised navigation; •  user specific content on the home page

Technology that helps brick-and-mortar retailers optimize performance

Trusted by over 500 global brands in 45 countries worldwide

and counting

Euclid analyzes customer movement data to

correlate traffic with marketing campaigns and to help retailers optimize

hours for peak traffic

Was fully AWS-native since day one

https://aws.amazon.com/solutions/case-studies/euclid/

Personalization via Influence

CMP.LY, a New York-based startup, offers proprietary social media monitoring, measurement, insight, and compliance solutions for Fortune 100 financial services, automotive, and consumer packaged goods companies, as well as leading advertising, social, and PR agencies.

Topsy, formed in 2006, is a social media analytics and search company based in San Francisco, California. The company takes data from sources like Twitter, Google Plus, and LiveJournal and analyzes it for influence, sentiment and location. Topsy delivers insights to customers including marketing, news, entertainment, and financial organizations. Customers include the National Football League (NFL), The New York Times, Yahoo, Warner Brothers, AOL, Geico, and Nielsen.

One of SE Asia's largest private sector companies

Leads the market in many segments of CPG, and

serves retailers nationwide with a diverse range of

food and beverage products

Due to the transportation infrastructure, it must

manage a complex supply and delivery chain, with

limited downstream visibility

With visionaries that are driving the group to new innovations, they need to modernize and decouple

legacy technologies

Large Asian Manufacturing Conglomerate

Need to create incentives for motorbike delivery team to fill underserved markets

Created mobile applications that track the delivery performance of the various contractors and employees, and the consumption of goods at the point of sale. The mobile apps use behavioral analysis to understand what is impacting performance and a gamification engine has been introduced.

Large Asian Manufacturing Conglomerate

A business focused Big Data and Analytics Platform

Start with the desired customer experience and work backwards, using lean AWS design

On-demand services let you experiment, without costly delays and heavy infrastructure spend

Continuous innovation is made easier by using agile & fully managed services, reducing administration

Operations – Supply Chain Inventory - Delivery

Supply-Inventory

DR-Inventory

DB-Backup

PCI-Security

eComms - Personalisation Recommendations - Big

Data

Order delivery

Order Capture System

E-Science Program

SAP ERP and BO

eComms on Magento - PrestaShop

Web front - Magento

Personalisation and Recs

Personalisation and Ad-targeting

SAP CRM and BO

Web log analysis and Recs

On-line payments with social media marketing

Thank you!

Dean Samuels Manager, Solutions Architecture – Hong Kong & Taiwan

Amazon Web Services

Retail Focus Areas

Cloud Benefits AWS Potential Impact