The audio for this presentation is available at https://archive.org/details/future_of_using_money
The lines between online and office commerce have completely blurred into a new age of connected commerce, and mobile technologies have risen to become the central point of that digital revolution. These changes in the mindset behind how we shop have simplified entrepreneurship within the physical space, and have streamlined the digital world to the point where the wallet is a dying necessity. In this session, we will delve into the technology that is driving the new age of commerce, and how new architectural models for buying and selling are becoming the new standard, including:
- The specifications behind how bluetooth low energy (BLE) technology is being used to create on-demand popup shops, facilitating commerce between any bluetooth connected devices.
- How open identity technology is being used as an instigator of commerce.
- Case studies on the ways mobile has changed the traditional ways we shop.
4. Bluetooth vs. BLE
Maintaining the Connection
Continuous vs. Intermittent
Throughput
0.7–2.1 Mbit/s vs 0.27 Mbit/s
Power Consumption
1 mW vs. 0.01-0.5 mW
5. A Few Technical Specs
• Range: ~50 meters
• Latency to send data: 3ms
• Connections: >2 billion
• Channels: 40 (3 advertising / 37 data)
• Devices can support both bluetooth and
BLE (dual mode), or just one
6. Uses for BLE
Connecting the Internet of Things
Things have data, web services want data
State Exposure
• What temperature it currently is
• Your flight is now boarding
• A network connection is now available
Proximity Detection
You have entered a store
7. A BLE Device Will Connect For…
Sending signed data to a previously
bonded device
Advertising their presence to a device
wanting to connect
Reconnecting asynchronously due to a
local event
8. How the Technology Works
A transparent bridge from device to IP
Central
Device
Peripheral
Bridge
IP Address
Endpoint
9. A BLE Use Case
PayPal Beacon
http://paypal.com/beacon
14. The Challenges of the Model
Chargebacks and fraud
Copyright owner concerns
Tracking buyers
15. Device Fingerprinting
https://panopticlick.eff.org/
Browser characteristic
Bits of identifying
information
1 in x browsers with
same characterists
User Agent
12.01
4117.11
Browser Plugin Detail
6.8
111.13
Time Zone
21.6+
3178409
Screen Size / Color Depth
4.56
23.58
System Fonts
21.6+
3178409
Cookies Enabled?
0.44
1.35
Limited Supercookie Test
0.98
1.97
23. 23% of customers abandoned carts when
asked to register (Forrester)
…At five questions, the drop-off rate is 2
percent; at 10 questions, 4 percent, and
so on. Only at about question 35 does the
correlation end (Kevin Hale, Wufoo)
24. Optimists consider that up to a 30% of
ecommerce sales increase is thanks to
cross-selling recommended products
fikobservatory
Personalized Recommendations
35. The Future of Commerce
Bluetooth Low Energy
Physical Shopping
Identity and Personalization
Digital Shopping
Hardware Hacks
New Shopping Hardware Tech
- Bluetooth opens up and maintains a connection, sniff mode allows sleeping a device for decrease battery use- Data throughput is not meaningful for BLE since it doesn't support streamingBLE has a data transfer rate of 1Mbpsboth devices can go to sleep in between transactions
State Exposure:what temperature it currently is,Gate 6a boarding now,Network availableEnable proximity detection (when I'm in the office, car, etc.) and perform some action. For us we determine proximity and check you in to a store
- used for connecting the devices we carry with us (phone, pedometer, body sensors, car to car wheels / tires within a system)- the device works as a transparent pipe from a device (cell phone, etc.) and an ip address- both devices can go to sleep in between transactions
- Person enters store with a BLE enabled device, and they are checked in automatically (if it's the first visit the app will ask them to check in. If ignored or declined, shop will not get any information about you)- Beacon sends out advertising beacons on a regular basis with a service UUID as well as a few bytes of advertising data.- If the phone understands the UUID (via PP app) it can establish a connection- Beacon maintains an attribute dictionary of requests / responses, and forwards requests it can't handle to PayPal (as a bridge). This allows it to handle sophisticated queries like getting location data, checking in, whether to auto-check in in the future- When a person comes in range of Beacon, the PP app wakes up, connects to beacon, and requests a beacon token. Beacon selects an unused token from its cache, and sends back a cryptographic nonce & signature, and some metadata- Phone verifies the signature with a public key embedded in the app, and makes a check-in decision based on the metadata- The app encrypts some data for beacon to forward on, uninterpreted, to PP servers. Server decrypts the data and checks in consumer- The server then returns back encrypted message back to beacon, which forwards it back to the app. - App decrypts and verified the response and disconnects from Beacon- Beacon still works in places where cell phones have no network / wireless coverage, because it is in itself a wireless network bridge
Digital Commerce
I started out working at Y! with a lot of auth systems, you might know them better as these things (show buttons)
I started realizing when I would build applications that besides a username, the rest of the info from these people was garbage, because of this… (show picture of a royalfetus profile)We’re in an age where are children have a social footprint before they are ever born…and that’s a much different world than the one I grew up in.
It comes down to the difference between concrete user identity and socialized (curated) identity
Removing the registration form
Personalization allows you to take shortcuts for your users (signups, checkouts, etc.)
Reduce dropoff ratesI’ve seen numbers as high as 71% during registration: http://www.optimizationtoday.com/web-analytics/what-is-abandonment-rate/23% of customers abandoned carts when asked to register (Forrester)…At five questions, the drop-off rate is 2 percent; at 10 questions, 4 percent, and so on. Only at about question 35 does the correlation end (Kevin Hale, Wufoo)
Based onBrowsing habits,Time on page / time of year,LocationRecommendations + targeted advertising