The document discusses the future of internet retailing and fashion retailing. It argues that new technologies like augmented reality, wearable devices, and vast amounts of customer data will transform the retail experience. Retailers will be able to offer highly personalized products and prices tailored to each customer's preferences and location. This will challenge traditional notions of stores and pricing models.

3. Framework for data, networks and ‘epiphenomenology’

4. Data: Not where you’d expect to start in fashion! Number of freely connected nodes where exchange cost is near zero Hyperdata Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

5. Data Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; ‘agents’ APML Microformats Hyperdata Web2.0 Social Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

7. Data

8. Data Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; ‘agents’ APML Microformats Hyperdata Web2.0 Social Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

9. When the network knows more than anyone

10. Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; ‘agents’ When the network knows more than anyone Hyperdata Web2.0 Social Network Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

11. Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; ‘agents’ When the network knows more than anyone Hyperdata Web2.0 Social Network Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

13. Number of freely connected nodes where exchange cost is near zero When the network knows more than anyone Hyperdata Web2.0 Social Network Phenomena Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+ Business analysis Services Mashups Responsive and self-configuring Responsive; ‘agents’ Predictive

14. Predictive? You must need hypodata!

15. Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; ‘agents’ Predictive Hypodata “ Brain Scanners can predict a decision up to 10 seconds before a person is aware of making that decision” Nature Neuroscience, April 2008 Hyperdata Web2.0 Social Network Phenomena Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

16. Business analysis Services Mashups Number of freely connected nodes where exchange cost is near zero Responsive and self-configuring Responsive; ‘agents’ Predictive Hypodata - MIT’s “Sixth Sense” http://www.flickr.com/photos/whiteafrican/3253881037/ Pattie Maes’s TED talk on MIT’s “Sixth Sense”: http://www.youtube.com/watch?v=blBohrmyo-I Hyperdata Web2.0 Social Network Phenomena Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

17. “ ABSTRACTA headphone-type gaze detector for a full-time wearable interface is proposed. It uses a Kalman filter to analyze multiple channels of EOG signals measured at the locations of headphone cushions to estimate gaze direction. Evaluations show that the average estimation error is 4.4® (horizontal) and 8.3® (vertical), and that the drift is suppressed to the same level as in ordinary EOG. The method is especially robust against signal anomalies. Selecting a real object from among many surrounding ones is one possible application of this headphone gaze detector.” http://portal.acm.org/citation.cfm?doid=1125451.1125655 via http://liftlab.com/think/nova/2006/06/09/wearable-gaze- detector-in-the-form-of-headphones/ Hypodata - mashed up

18. But what about hyperdata?

19. Hyperdata: Location-specific Plus gestures, image processing, bio-input... (heartbeat? Match.com?...).

20. Any sufficiently advanced technology is indistinguishable from magic

21. The Gamut of data Number of freely connected nodes where exchange cost is near zero Hyperdata Web2.0 Social Network Phenomena Metadata Data Endodata Hypodata 0 1 3 10 100 1000s+

22. Any sufficiently advanced technology is indistinguishable from magic Nodes Open Structured Data Business Web 2.0 Social Network Phenomena ESP? Epiphenomena

24. Bringing data alive PlazeMarks 2D codes Neat, but very “now”

25. Augmented Reality... Layar.eu - overlay ‘realtor’ data on street scenes

26. Augmented Reality

27. Augmented Reality - brands and interaction http://www.metroparisiphone.com/index_en.html

30. How will this impact retail and eCommerce?

32. Shopping: present, yet elsewhere

36. Challenges

39. Obama-Preedy Pricing Principle “ It’s been a long time coming, but tonight, because of what we did1. on this day,2. in this election,3. at this defining moment Change has come to America” President-Elect Obama, Victory Speech, November 2008 http://news.bbc.co.uk/1/hi/world/americas/7434843.stm

42. Taking aim

44. Thank you "The Future of Internet Retailing: considerations for fashion (r)etailing" London College of Fashion London, October 2009 www.ianjindal.com www.internetretailing.net