Analyzing data, Optimizing Service Experience for Retailers
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Transcript of 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
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/
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