Using Location Intelligence to
Drive Post-Pandemic Retail
Site Selection
Follow @CARTO on Twitter
This webinar is about to start at 11AM ET // 5PM CET
Use the Q&A Panel for questions, comments or feedback
Recording will be emailed within 1-3 business days after the webinar
Using Location Intelligence to
Drive Post-Pandemic Retail
Site Selection
Follow @CARTO on Twitter
Using Location Intelligence to
Drive Post-Pandemic Retail
Site Selection
CARTO — Unlock the power of spatial analysis
Introductions
Jamie Woolley
Product Marketing Manager at
CARTO
Argyrios Kyrgiazos
Data Scientist at
CARTO
CARTO — Unlock the power of spatial analysis
Agenda
1. Post-pandemic Retail: Key trends and challenges
2. Location Intelligence approaches, tools and data
streams to improve Retail Site Selection decisions
3. Practical examples of how Spatial Data Science can
optimize Site Selection strategies
CARTO — Unlock the power of spatial analysis
Download our
latest report
● Produced in collaboration
with Retail Gazette
● Retailer case studies outlining
responses to the global
pandemic
● Key recommendations to
optimize network planning
decisions
https://go.carto.com/ebooks/retail-site-selection
CARTO — Unlock the power of spatial analysis
POLL 1
Reduction in the number of stores/outlets?
Increase in the number of stores/outlets?
Store numbers to stay the same?
How do you expect brick & mortar retail networks to change in 2021?
CARTO — Unlock the power of spatial analysis
Retail’s Perfect Storm
CARTO — Unlock the power of spatial analysis
The pandemic has accelerated
changes in consumer behaviors
● Unrelenting move to online purchases
● Shift to localism, as remote working becomes the norm
● Consumers looking to browse and be inspired on the high street,
and then purchase online
● Growth in mobile ordering, contactless pick-up experiences, and
concern for in-store safety
● Stores acting as “mini warehouses”, serving more local online
shoppers
CARTO — Unlock the power of spatial analysis
How have retailers
responded?
● Decision in 2020 to expand
convenience-led formats, while closing up
to 400 traditional stores
● ‘Starbucks Pickup’ stores in dense markets,
including New York City, Chicago, Seattle,
and San Francisco
● The company’s mobile app is seen as
integral for order ahead and rapid
collection
● ‘Starbucks Delivers’ concept grows, via a
partnership with Uber Eats
CARTO — Unlock the power of spatial analysis
● New stores being opened across the US
and UK, offering visitors “just walk out”
capability
● Amazon customers to check in with
their app, pick their products, and leave
the store without visiting a checkout
● A visible example of how physical retail
is being digitized and how shops can
play a connected role in an increasingly
online environment
How have retailers
responded?
CARTO — Unlock the power of spatial analysis
● The UK’s Next opened pickup-drop-off
hubs in two car parks owned by
grocery chain Morrisons
● The pods allowed supermarket
customers to also collect or return Next
purchases, as part of the same
shopping journey
● The pilot scheme in two locations
covers an gap in Next’s UK store
coverage
How have retailers
responded?
CARTO — Unlock the power of spatial analysis
Retailers are building a more informed
strategy for their estate by incorporating
Location Intelligence techniques and tools to
make better decisions relating to site
suitability.
CARTO — Unlock the power of spatial analysis
POLL 2
Own store performance, sales data?
Consumer demographics?
Consumer spend, mobility or behavioural data?
Which data sources do you typically use to drive site selection decisions?
A combination of all of the above?
CARTO — Unlock the power of spatial analysis
Spatial Data Sources
Behavioral
Geosocial Segments: behavioral segments based
on the analysing social media feeds with location
information
Behavioral Audiences: audiences derived from
online behaviors
POI’s
POIs: database with the location of
businesses and other points of interest
categorized by classes and industry groups.
Demographics
Sociodemographics: basic
socio-demographic and socio-economic
attributes estimated at current year and
projected 5 years into the future
Geographic Insights: providing sales-based dynamics
of a location with indices measuring the evolution of
credit card spend, number of transactions, etc.
happening in a retail area over time
Financial
COMMERCE
PEOPLE
Physical Digital
CARTO — Unlock the power of spatial analysis
● Given the speed of change in consumer
behavior, it is critical that modern and
updated data streams are utilized
● These datasets can include information
on credit card spend, human mobility
patterns, weather, road traffic patterns,
and social media sentiment
Enhanced Spatial
Datastreams
Replace this image
CARTO — Unlock the power of spatial analysis
● Credit card spend is an increasingly
accurate snapshot of where consumers
are spending
● Key for understanding consumer
behaviors and how those evolve over
time and space
● Evaluate site expansion or consolidation,
by analyzing how economic trends and
consumer spend will affect brick and
mortar revenues
Consumer Spend
Data
Replace this image
CARTO — Unlock the power of spatial analysis
● Today, retailers can leverage dynamic
human mobility data round their
locations
● The data can reveal insights into the
visitors demographics, the number of
visits and dwell time
● Cross referenced with Point of Interest
data, it can give a comprehensive picture
of human mobility in a given location.
Mobility Data
Replace this image
CARTO — Unlock the power of spatial analysis
● Retailers can use geosocial, or
behavioral data, to analyze the
relationships between social media
behaviors and sales
● Analyzing segments of geosocial data in
relation to physical assets can provide
key insights for site expansion and
consolidation
● New consumer behaviors can be
surfaced based on the differing interests
within the same demographic
Behavioral Data
Replace this image
CARTO — Unlock the power of spatial analysis
Introducing CARTO for Site Selection
CARTO — Unlock the power of spatial analysis
Identify performant areas
in new territories based on
store performance in a
similar locations
Twin Area
Analysis
CARTO — Unlock the power of spatial analysis
Explore expansion
opportunities in the target
territory where key
business indicators are
favourable
White Space
Analysis
CARTO — Unlock the power of spatial analysis
Predict a new store or
branch’s potential based on
modeling revenue
predictions from existing
top performing stores
Simulated Store
Analysis
CARTO — Unlock the power of spatial analysis
POLL 3
Twin area analysis?
White space analysis?
Other techniques?
Which analytical approaches do you employ to drive
site selection decisions?
A combination of all of the above?
CARTO — Unlock the power of spatial analysis
Beyond Site selection
➔ Combine with advanced
predictive analytics
➔ Exploit advanced mathematical tools
to built on top of site selection and
location data
Optimize Distribution
Network
Predictive
Analytics
Geomarketing Customer / Outlet
Segmentation
CARTO — Unlock the power of spatial analysis
Optimise Supply Chain Distribution
Network
● Strategic Planning: Facility location, transportation and distribution
network design
● Tactical planning: Demand forecasting, last mile distribution areas design
● Operational planning: Routing
CARTO — Unlock the power of spatial analysis
Optimised network
Network analysis
CARTO — Unlock the power of spatial analysis
Enriching Point of Sales data and
Predictive analytics
● Identify geo-factors driving sales
● “Exploit” this information for targeted promotions in locations based on
area characteristics
● Planning geo-marketing accordingly
CARTO — Unlock the power of spatial analysis
Geodata Predicting Liquor
Consumption
CARTO — Unlock the power of spatial analysis
Customer segmentation : e-commerce
➔ Optimise areas of allocation for business developers (BDs) - distance,
capacity, etc.
➔ Optimise routing planning
➔ Identify “right” promotional tactics for each customer depending on the
service area
➔ Planning geo-marketing to achieve a higher reach
WHO? WHY? WHERE? HOW?
Thanks for listening!
Any questions?
Request a Site Selection demo at CARTO.COM
Argyrios Kyrgiazos
Data Scientist // argyrios@carto.com
Jamie Woolley
Product Marketing Manager // jwoolley@carto.com

Using Spatial Analysis to Drive Post-Pandemic Site Selection in Retail

  • 1.
    Using Location Intelligenceto Drive Post-Pandemic Retail Site Selection Follow @CARTO on Twitter This webinar is about to start at 11AM ET // 5PM CET Use the Q&A Panel for questions, comments or feedback Recording will be emailed within 1-3 business days after the webinar
  • 2.
    Using Location Intelligenceto Drive Post-Pandemic Retail Site Selection Follow @CARTO on Twitter
  • 3.
    Using Location Intelligenceto Drive Post-Pandemic Retail Site Selection
  • 4.
    CARTO — Unlockthe power of spatial analysis Introductions Jamie Woolley Product Marketing Manager at CARTO Argyrios Kyrgiazos Data Scientist at CARTO
  • 5.
    CARTO — Unlockthe power of spatial analysis Agenda 1. Post-pandemic Retail: Key trends and challenges 2. Location Intelligence approaches, tools and data streams to improve Retail Site Selection decisions 3. Practical examples of how Spatial Data Science can optimize Site Selection strategies
  • 6.
    CARTO — Unlockthe power of spatial analysis Download our latest report ● Produced in collaboration with Retail Gazette ● Retailer case studies outlining responses to the global pandemic ● Key recommendations to optimize network planning decisions https://go.carto.com/ebooks/retail-site-selection
  • 7.
    CARTO — Unlockthe power of spatial analysis POLL 1 Reduction in the number of stores/outlets? Increase in the number of stores/outlets? Store numbers to stay the same? How do you expect brick & mortar retail networks to change in 2021?
  • 8.
    CARTO — Unlockthe power of spatial analysis Retail’s Perfect Storm
  • 9.
    CARTO — Unlockthe power of spatial analysis The pandemic has accelerated changes in consumer behaviors ● Unrelenting move to online purchases ● Shift to localism, as remote working becomes the norm ● Consumers looking to browse and be inspired on the high street, and then purchase online ● Growth in mobile ordering, contactless pick-up experiences, and concern for in-store safety ● Stores acting as “mini warehouses”, serving more local online shoppers
  • 10.
    CARTO — Unlockthe power of spatial analysis How have retailers responded? ● Decision in 2020 to expand convenience-led formats, while closing up to 400 traditional stores ● ‘Starbucks Pickup’ stores in dense markets, including New York City, Chicago, Seattle, and San Francisco ● The company’s mobile app is seen as integral for order ahead and rapid collection ● ‘Starbucks Delivers’ concept grows, via a partnership with Uber Eats
  • 11.
    CARTO — Unlockthe power of spatial analysis ● New stores being opened across the US and UK, offering visitors “just walk out” capability ● Amazon customers to check in with their app, pick their products, and leave the store without visiting a checkout ● A visible example of how physical retail is being digitized and how shops can play a connected role in an increasingly online environment How have retailers responded?
  • 12.
    CARTO — Unlockthe power of spatial analysis ● The UK’s Next opened pickup-drop-off hubs in two car parks owned by grocery chain Morrisons ● The pods allowed supermarket customers to also collect or return Next purchases, as part of the same shopping journey ● The pilot scheme in two locations covers an gap in Next’s UK store coverage How have retailers responded?
  • 13.
    CARTO — Unlockthe power of spatial analysis Retailers are building a more informed strategy for their estate by incorporating Location Intelligence techniques and tools to make better decisions relating to site suitability.
  • 14.
    CARTO — Unlockthe power of spatial analysis POLL 2 Own store performance, sales data? Consumer demographics? Consumer spend, mobility or behavioural data? Which data sources do you typically use to drive site selection decisions? A combination of all of the above?
  • 15.
    CARTO — Unlockthe power of spatial analysis Spatial Data Sources Behavioral Geosocial Segments: behavioral segments based on the analysing social media feeds with location information Behavioral Audiences: audiences derived from online behaviors POI’s POIs: database with the location of businesses and other points of interest categorized by classes and industry groups. Demographics Sociodemographics: basic socio-demographic and socio-economic attributes estimated at current year and projected 5 years into the future Geographic Insights: providing sales-based dynamics of a location with indices measuring the evolution of credit card spend, number of transactions, etc. happening in a retail area over time Financial COMMERCE PEOPLE Physical Digital
  • 16.
    CARTO — Unlockthe power of spatial analysis ● Given the speed of change in consumer behavior, it is critical that modern and updated data streams are utilized ● These datasets can include information on credit card spend, human mobility patterns, weather, road traffic patterns, and social media sentiment Enhanced Spatial Datastreams Replace this image
  • 17.
    CARTO — Unlockthe power of spatial analysis ● Credit card spend is an increasingly accurate snapshot of where consumers are spending ● Key for understanding consumer behaviors and how those evolve over time and space ● Evaluate site expansion or consolidation, by analyzing how economic trends and consumer spend will affect brick and mortar revenues Consumer Spend Data Replace this image
  • 18.
    CARTO — Unlockthe power of spatial analysis ● Today, retailers can leverage dynamic human mobility data round their locations ● The data can reveal insights into the visitors demographics, the number of visits and dwell time ● Cross referenced with Point of Interest data, it can give a comprehensive picture of human mobility in a given location. Mobility Data Replace this image
  • 19.
    CARTO — Unlockthe power of spatial analysis ● Retailers can use geosocial, or behavioral data, to analyze the relationships between social media behaviors and sales ● Analyzing segments of geosocial data in relation to physical assets can provide key insights for site expansion and consolidation ● New consumer behaviors can be surfaced based on the differing interests within the same demographic Behavioral Data Replace this image
  • 20.
    CARTO — Unlockthe power of spatial analysis Introducing CARTO for Site Selection
  • 21.
    CARTO — Unlockthe power of spatial analysis Identify performant areas in new territories based on store performance in a similar locations Twin Area Analysis
  • 22.
    CARTO — Unlockthe power of spatial analysis Explore expansion opportunities in the target territory where key business indicators are favourable White Space Analysis
  • 23.
    CARTO — Unlockthe power of spatial analysis Predict a new store or branch’s potential based on modeling revenue predictions from existing top performing stores Simulated Store Analysis
  • 24.
    CARTO — Unlockthe power of spatial analysis POLL 3 Twin area analysis? White space analysis? Other techniques? Which analytical approaches do you employ to drive site selection decisions? A combination of all of the above?
  • 25.
    CARTO — Unlockthe power of spatial analysis Beyond Site selection ➔ Combine with advanced predictive analytics ➔ Exploit advanced mathematical tools to built on top of site selection and location data Optimize Distribution Network Predictive Analytics Geomarketing Customer / Outlet Segmentation
  • 26.
    CARTO — Unlockthe power of spatial analysis Optimise Supply Chain Distribution Network ● Strategic Planning: Facility location, transportation and distribution network design ● Tactical planning: Demand forecasting, last mile distribution areas design ● Operational planning: Routing
  • 27.
    CARTO — Unlockthe power of spatial analysis Optimised network Network analysis
  • 28.
    CARTO — Unlockthe power of spatial analysis Enriching Point of Sales data and Predictive analytics ● Identify geo-factors driving sales ● “Exploit” this information for targeted promotions in locations based on area characteristics ● Planning geo-marketing accordingly
  • 29.
    CARTO — Unlockthe power of spatial analysis Geodata Predicting Liquor Consumption
  • 30.
    CARTO — Unlockthe power of spatial analysis Customer segmentation : e-commerce ➔ Optimise areas of allocation for business developers (BDs) - distance, capacity, etc. ➔ Optimise routing planning ➔ Identify “right” promotional tactics for each customer depending on the service area ➔ Planning geo-marketing to achieve a higher reach WHO? WHY? WHERE? HOW?
  • 31.
    Thanks for listening! Anyquestions? Request a Site Selection demo at CARTO.COM Argyrios Kyrgiazos Data Scientist // argyrios@carto.com Jamie Woolley Product Marketing Manager // jwoolley@carto.com