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How Retailers Can Put Location Data On Steroids With Machine Learning

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Access the full event here: https://event.on24.com/wcc/r/1953101/68D5CE2E4BAD4600C955413E78783AB2

"Retailers have already recognized the value of geolocation data, for everything from targeting promotional messages to determining the optimal location for a new brick-and-mortar store. But to truly maximize the value of geolocation data, retailers need solutions that can not only comb through extremely large data sets, but that can identify which specific factors within those data sets are important and relevant to the retailer’s business. Accomplishing both of these goals requires the application of machine learning to geolocation data.

This Connected Consumer Series webinar will explain how machine-learning enhanced geolocation data can:
• Predict, with a high degree of accuracy, the incremental sales increases from both digital and physical sales channels that will be generated by a proposed new brick-and-mortar store in a given area;
• Use expanded data sets to identify, and quantify, new market opportunities on a wider geographic scale than has been previously possible; and
• Quantify geographic data to determine the relevance of specific data points to the query posed by the retailer.

Presenters Gary Sankary, Industry Marketing Strategy – Retail, and Joel McCune, Spatial Data Scientist – GeoAI Business Development, from Esri will discuss how machine learning multiplies the value of location data, and also provide several examples and retail use cases showing the benefits of this supercharged data analysis."

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How Retailers Can Put Location Data On Steroids With Machine Learning

  1. 1. #CCS19 How Retailers Can Put Location Data On Steroids With Machine Learning SPONSORED BY:
  2. 2. #CCS19 Follow this event on LinkedIn & Twitter #CCS19 Retail Touchpoints: @RTouchPoints Adam Blair: @adamblair29 Esri: @Esri Gary Sankary: @GarySankary
  3. 3. #CCS19 About Retail TouchPoints  Launched in 2007  Over 45,000 retail subscribers  To provide executives with relevant, insightful content across a variety of digital medium Sign up for our weekly newsletter: www.retailtouchpoints.com/subscribe
  4. 4. #CCS19 Prize Pack: Register & Attend to Win Earn 1 automatic entry when you register and a second entry when you attend live. Register For & Attend #CCS19 Webinars For the Best Chance to Win! • Free Pass to #RIC19 in NYC May 6th-8th – 1 Winner Per Day • Apple AirPods – 1 Winner • $10 Starbucks Gift Cards – 1 Winner Per Session
  5. 5. #CCS19 Questions, Tweets & Resources Submit your questions here Download today’s resources Join the conversation #CCS19
  6. 6. #CCS19 Panelists Gary Sankary Industry Marketing Strategy Esri @GarySankary Joel McCune Solution Engineer Esri MODERATOR: Adam Blair Editor Retail TouchPoints
  7. 7. Empowering New Insights Machine Learning & Location Intelligence Gary Sankary gsankary@esri.com Joel McCune jmccune@esri.com
  8. 8. Location Intelligence Drives Market Development
  9. 9. Why Location Intelligence? Why Machine Learning? •Drive for new insights •Data sources continue to explode •Overcoming Complexity
  10. 10. Analysis Data Collaboration Insights Action Decision Support Modeling & Forecasting Location Centric Analysis Correlation & Clustering Data & Integration Applying Machine Learning to Location Intelligence Pose the Question
  11. 11. Are there any opportunities for a coffee shop left in Portland Oregon?
  12. 12. Analyzing a Proposed Location • How will this location change our current penetration in this market? • What effect does the competition have on this location? How will it change? • How many new customers can we expect to attract to our brand by adding this location?
  13. 13. • How do competitor locations affect performance? • How do our own nearby brand locations affect performance? • How much do complimentary store locations affect performance? • What are complimentary store brands? • What are complimentary store categories (NAICS codes)?
  14. 14. In Conclusion • Machine Learning brings big data capabilities to the desktop • Enables users to find new correlations and relationships between data and geography • Find new opportunities for growth across markets
  15. 15. Empowering New Insights Machine Learning & Location Intelligence Gary Sankary gsankary@esri.com Joel McCune jmccune@esri.com
  16. 16. #CCS19 Q&A // Panelists MODERATOR: Adam Blair Editor Retail TouchPoints Gary Sankary Industry Marketing Strategy Esri @GarySankary Joel McCune Solution Engineer Esri
  17. 17. #CCS19
  18. 18. #CCS19 Thanks for attending Catch up on all of the #CCS19 sessions here: http://webinars.retailtouchpoints.com/connected-consumer-series/2019/

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