Learn how retailers can leverage their own Big Data. Go from data sources to increasing profits, margins and market share at a fraction of the time and cost.
1. #bigdataretail
high-speed retail
analytics
courtesy of a new approach to big
data Amos Schwartzfarb
VP, Customer Development
Dhruv Bansal
Chief Science Officer,
Tim Gasper
Product Manager
BlackLocus, Inc. Co-founder Infochimps, Inc.
Infochimps, Inc.
4. #bigdataretail
retail + big data
“Multichannel” has given way to “omnichannel” in
the retail world, with shoppers driving the charge
with their new devices and retailers rushing to
keep up with them.
- CMO Magazine
http://www.cmo.com/mobile/technology-becoming-easy-sell-retail-marketers
9. We collect and match massive amounts of
competitive price and assortment data,
then make it actionable for our retail
customers
>> “I’ve never seen a partner’s product go viral inside our
organization as fast as BlackLocus. We had our biggest
quarter ever, the quarter following our initial engagement
with BlackLocus”
– Chairman, IR Top 75 Retailer
11. the problem we solve for
retailers
Consumers have instant and
complete price and Seasonality
assortment transparency
Social
Consumers have all the tools to Competitor Pricing
Sentiment
price and buy instantaneously
There is too much data for PRICE TO WIN
retailers to analyze Promotions
Inventory
/ Reviews
Retailers have limited tools to
set the:
• Right price at the
• Right time to the Brand
Assortment
Equity
• Right customer
12. the problem we solve
MULTI-SOURCE, BIG DATA ANALYTICS TO OPTIMIZE PRICE AND
ASSORTMENT
“Which of my products “What are the margin, “How do I utilize every
are under- or over-priced conversion and profit relevant data point to
relative to my implications from optimize price and
competition?” dynamic pricing?” assortment?”
Real-time competitive Integrated platform for Big, multi-source data
Pricing intelligence changing price and tracking analytics to optimize price
conversions/ profit
Today 2012 2013
There is so much
When I change price
I have no scalable way to track available data, how
daily, weekly or
competitive pricing at the SKU do I determine its
monthly is it
level. impact on price and
profitable?
assortment?
13. our technology and approach
DATA SCIENCE AND MACHINE LEARNING: WHY DO YOU CARE?
Math and
More than just acquiring Statistics
data
Insight
More than just analyzing and Machine
data Analysis Learning
Deep insight into what
data actually means
Software
Engineering Data Science
Ability to scale and adjust
quickly through
automation.
14. our technology and approach
BLACK LOCUS DATA PIPELINE
Collect Extract Ingest Learn Analyze Deliver
Collect – collect semi-structured and structured data from different
sources
Extract – clean and transform semi-structured data into structured
Ingest – store and make the data available via search and/or query
Learn – iterative machine learning to identify product matches
Analyze – intelligence, metrics, and verification
Deliver – integration into the platform
15. #bigdataretail
The Platform of Big Data
Technology
+
The “Right Product, Right Price, Right Time”
Big Data Application
16. #bigdataretail
big data infrastructure made simple
some of our customers our partners
18. #bigdataretail
Analytics
Applications &
Workflows
Analytics
Technology &
Big Data Platform
Infrastructure
Analytics
Applications &
Workflows
Price and Assortment
Intelligence
19. #bigdataretail
Retail Big Data Architecture
BI Systems
Demo- collect & analyze ask questions,
graphics
Foot Traffic real-time data build apps
ERP
CRM
POS
Social Media
RFID
Mobile predictive
Clickstream
Ratings & analytics
Reviews
20. #bigdataretail
provide customers
Prices from
with pricing
Across the collect data information
Web
Customer
Data
analyze
21. #bigdataretail
benefits we provide retailers
we are
• an end-to-end solution
• a flexible big data foundation to build upon
• your outsourced big data partner
we generate insights you need
• quickly
• without capital investment (cloud)
• without investing in new talent (managed)
• tailored for your business
22. #bigdataretail
learn more >>
sales@infochimps.c amos@blacklocus.co
om m
1-855-328-2386 415-505-7398
Request a Demo: Request a Demo:
http://bigdata.infochimps.c http://resources.blacklocus.co
om/request-a-big-data- m/requestyourdemo/
platform-demo/