Jan L. DavisProfessional Board Member
   Embracing analytics   Online and mobile   Companies to watch    ◦ Pedestrian counting & tracking    ◦ “Big data” sol...
   “If you can’t measure it, you can’t manage it.”   Need for metrics never more acute   Growth of online and mobile im...
   Marketing spend   Store traffic   Labor hours   Conversion rate   Ticket/basket size   Inventory turns   Out of ...
   Embracing analytics   Online and mobile   Companies to watch    ◦ Pedestrian counting & tracking    ◦ “Big data” sol...
6
   Retail stores = showrooms for online shopping?   Amazon Price Check might be evil, but it’s the    future, Erik Kain,...
Mobile Check-out    eMobile POS     On the spotCustomer engagement                      8
   Sustaining and disruptive change   Embracing analytics   Online and mobile   Companies to watch    ◦ Pedestrian cou...
Copyright - Jan L. Davis - April 19, 2012   10
Copyright - Jan L. Davis - April 19, 2012   11
   Digital video single-purpose device with    embedded technology   Overhead infrared readers   Side-mounted gates wit...
   Why count traffic?    ◦   Scheduling labor    ◦   Measuring marketing impact    ◦   Improving service through training...
Lost Retail Opportunity                      3%        Reasons for not purchasing                                         ...
   Global leader in thermal imaging    devices for broad array of    applications   People counting and queue    managem...
“Google Analytics for Real World Stores”   ReTel’s Technology integrates    with security cameras to track:    ◦ Operatio...
DetailedCustomer Counts By                                                        Demographics:   Day of Week             ...
ShopperInteraction Heat Map CategoryConversion  Funnel  SalesAssociate Metrics  SalesAssociate Impact              Copyrig...
   Anonymous tracking of GPS-enabled phones   Capture rate, dwell time, unique and repeat    visitors, benchmarking   I...
External Meta Data                 (i.e. Yelp, Weather, Retail data,                 Consumer opt-in data)                ...
Simple metrics create real revenue opportunities       Retail                   Property Owners         Out-of-Home Advert...
Consumer retail behaviors too numerous & diverse for commonly used tools    ◦ Increasing volume    ◦ Increasing speed    ◦...
   Partnered with Tesco to launch loyalty card   Launched in US with Kroger JV, exclusive for    grocery   Expanded to ...
   Paying customers are CPG companies.   Provide free services to retailers    ◦ Analyze point-of-sale, supply chain, me...
Category                                                          Forecasting and S&OP   Management                       ...
   Changing environment: opportunity & threat   Analytics    ◦ New metrics emerging    ◦ Standard metrics matter more th...
Jan L. Davisjldavis200@gmail.com  312 961-2203 (cell)                    Copyright - Jan L. Davis - April 19, 2012   27
Upcoming SlideShare
Loading in …5
×

Retail futurescape - changing technologies for improving retail operations

1,355 views

Published on

Presentation to a retail operations class at UNC Kenan-Flagler, after the students presented company profiles on selected Companies to Watch. Their work supplemented my talk.

Published in: Technology, Business
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,355
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
33
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Retail futurescape - changing technologies for improving retail operations

  1. 1. Jan L. DavisProfessional Board Member
  2. 2.  Embracing analytics Online and mobile Companies to watch ◦ Pedestrian counting & tracking ◦ “Big data” solutions Summary Copyright - Jan L. Davis - April 19, 2012 2
  3. 3.  “If you can’t measure it, you can’t manage it.” Need for metrics never more acute Growth of online and mobile impacting brick & mortar Understanding profit growth levers - crucial Copyright - Jan L. Davis - April 19, 2012 3
  4. 4.  Marketing spend Store traffic Labor hours Conversion rate Ticket/basket size Inventory turns Out of stock conditions New product introductions And they all interact! Copyright - Jan L. Davis - April 19, 2012 4
  5. 5.  Embracing analytics Online and mobile Companies to watch ◦ Pedestrian counting & tracking ◦ “Big data” solutions Summary Copyright - Jan L. Davis - April 19, 2012 5
  6. 6. 6
  7. 7.  Retail stores = showrooms for online shopping? Amazon Price Check might be evil, but it’s the future, Erik Kain, Forbes, 12/14/11 Copyright - Jan L. Davis - April 19, 2012 7
  8. 8. Mobile Check-out eMobile POS On the spotCustomer engagement 8
  9. 9.  Sustaining and disruptive change Embracing analytics Online and mobile Companies to watch ◦ Pedestrian counting & tracking ◦ “Big data” solutions Summary Copyright - Jan L. Davis - April 19, 2012 9
  10. 10. Copyright - Jan L. Davis - April 19, 2012 10
  11. 11. Copyright - Jan L. Davis - April 19, 2012 11
  12. 12.  Digital video single-purpose device with embedded technology Overhead infrared readers Side-mounted gates with infrared readers Digital video appliance with cameras Hybrid - automated human review of security camera video Smart phones Copyright - Jan L. Davis - April 19, 2012 12
  13. 13.  Why count traffic? ◦ Scheduling labor ◦ Measuring marketing impact ◦ Improving service through training & feedback ◦ Tracking KPIs like conversion rate Why track shoppers? ◦ Assessing capture rate & unique or repeat visitors ◦ Improving layouts and planograms ◦ Measuring engagement with displays ◦ Calculating SKU conversion ◦ Improving service When Retail Customers Count Conversion: The Last Great Retail Metric ◦ Both by Mark Ryski, Headcount Copyright - Jan L. Davis - April 19, 2012 13
  14. 14. Lost Retail Opportunity 3% Reasons for not purchasing 4% Price2% 4% Price comparing 8% Quality of merchandise13% 19% Line at register 72% Sales assistance Couldn’t find size13% Couldnt decide on item 34% Couldnt find item(s) Just browsing 72% of reasons for not buying are easily within the influence of the store Copyright © 2007 Deloitte Development LLC. All rights reserved. 14
  15. 15.  Global leader in thermal imaging devices for broad array of applications People counting and queue management in retail ◦ Resell devices to multiple people counting companies ◦ Partner with large supermarket chains (Tesco, Kroger) for queue management Copyright - Jan L. Davis - April 19, 2012 15
  16. 16. “Google Analytics for Real World Stores” ReTel’s Technology integrates with security cameras to track: ◦ Operations ◦ Consumer behavior ◦ Merchandising Hybrid computer vision and video tagging assembly line Scalable from 1 to 1000+ stores Copyright - Jan L. Davis - April 19, 2012 16 Proprietary & Confidential – Please Do Not Distribute
  17. 17. DetailedCustomer Counts By Demographics: Day of Week Age, Gender and HeightCustomerCounts By Gender Avg.CustomerCounts By Hour Not Shown: Group Size Copyright - Jan L. Davis - April 19, 2012 17
  18. 18. ShopperInteraction Heat Map CategoryConversion Funnel SalesAssociate Metrics SalesAssociate Impact Copyright - Jan L. Davis - April 19, 2012 18
  19. 19.  Anonymous tracking of GPS-enabled phones Capture rate, dwell time, unique and repeat visitors, benchmarking Inexpensive hardware Allows consumer opt-out online Copyright - Jan L. Davis - April 19, 2012 19
  20. 20. External Meta Data (i.e. Yelp, Weather, Retail data, Consumer opt-in data) Operational Analytics Removes “noisy data”Raw HeuristicData Filters Euclid Filtered Learning Data Machine Marketing Analytics Copyright - Jan L. Davis - April 19, 2012
  21. 21. Simple metrics create real revenue opportunities Retail Property Owners Out-of-Home AdvertisingKey metrics vary by store Used for operational, Bringing the best oftype: planning, advertising online advertising to the and leasing offline worldExample: Apparel Example: Tenant Mix Example: Impressions,Example: Coffee Conversion, Relevance Copyright - Jan L. Davis - April 19, 2012
  22. 22. Consumer retail behaviors too numerous & diverse for commonly used tools ◦ Increasing volume ◦ Increasing speed ◦ Increasing variety, both sources & types DunnHumby Retail Solutions Copyright - Jan L. Davis - April 19, 2012 22
  23. 23.  Partnered with Tesco to launch loyalty card Launched in US with Kroger JV, exclusive for grocery Expanded to Macy’s & others Analyze transaction & loyalty card data Overlay research, media & online data Mine data to localize & personalize offers ◦ Direct mail ◦ Email ◦ Online contextual ads Provide demand-based pricing optimization Copyright - Jan L. Davis - April 19, 2012 23
  24. 24.  Paying customers are CPG companies. Provide free services to retailers ◦ Analyze point-of-sale, supply chain, merchandiser feedback, customer loyalty data ◦ Fix out-of-stocks, correct root causes ◦ Ensure compliance with pricing, promotion, planagram commitments ◦ Operate replenishment programs ◦ Improve new product introductions Copyright - Jan L. Davis - April 19, 2012 24
  25. 25. Category Forecasting and S&OP Management InventoryPricing Management Management & Sales & Marketing Replenishment Supply Chain Retail Promotion Management Execution Out-of Stocks Management New Product Shrink & Unsaleables IntroductionsStore Operations & End of Life & Package Field Sales Transitions Copyright - Jan L. Davis - April 19, 2012 25
  26. 26.  Changing environment: opportunity & threat Analytics ◦ New metrics emerging ◦ Standard metrics matter more than ever Online and mobile ◦ Drive customer behavior ◦ Provide new operational solutions & threats “Simultaneous discovery” epidemic ◦ Shopper counting & tracking ◦ “Big data” analysis and solutions Copyright - Jan L. Davis - April 19, 2012 26
  27. 27. Jan L. Davisjldavis200@gmail.com 312 961-2203 (cell) Copyright - Jan L. Davis - April 19, 2012 27

×