internet of things to make a sale
TRANSCRIPT
IOT to make a Sale!
Hello!
I am Shaunak DeMachine Learning Researcher. Developer. Full time Eternal Dreamer™
You can find me at @shaunakde or [email protected]
Internet of Things Wave
Interconnected devices capable ofInterchanging data, services and Information in an Interoperable manner using a Internet-like network
A Recipe for IOT
http://electronicsofthings.com/
IOT YesterdayGhost of IOT Past
1
A Brief History of the IOT
1832Electromagnetic telegraph was created by Baron Schilling in Russia
1969ARPANET
1989World Wide Web proposed by Tim Berners Lee
A Brief History of the IOT
1990 Jhon Romkey created the first Internet‘device’, a toasterthat could be turned on and off over the Internet.
1991: The first web page was
created by Tim Berners-Lee
A Brief History of the IOT
1993 Created by Quentin Stafford-Fraser and Paul Jardetzky the Trojan Room Coffee Pot and was used to monitor the pot levels.
1995: The Internet goes
commercial with Amazon and
Echobay (Ebay)
IOT is Born!
The Internet of Things was born in between 2008 and 2009 at simply the point in time when more “things or objects” were connected to the Internet than people.
Cisco Internet Business Solutions Group (IBSG)
IOT TodayGhost of IOT Present
2
“The ‘Internet of Things’ will
generate $14,400,000,000 of value over the next decade.
Source: Credit Suisse
“Total sales of clothing and
accessories that incorporate computer technology are on target
to grow to $42.5 billion by 2019.
Source: Credit Suisse
Gartner’s Tech Forecast: 2016
◎ Internet of Things◎ Device Mesh◎ Machine Learning◎ Ambient User Experience◎ Information of Everything
Source: Gartner Inc.
Device Mesh
Ambient User Experience
Internet of Things
Machine Learning
Information of
Everything
IOT Applications
Education
Retail
Home Automation
Food& Beverage
Healthcare
Pharma
Agro
Production
Logistics
DefenceSmartCities
Transport
IOT Applications
Education
Retail
Home Automation
Food& Beverage
Healthcare
Pharma
Agro
Production
Logistics
DefenceSmartCities
Transport
IOT in RetailMake IOT your best salesperson
2
Courtesy: Intel Inc.
Image Courtesy: Coop
Courtesy: Coop
Sweethearting
Sweethearting is a term used in the retail loss prevention industry to mean intentional margin loss through employee theft at the cash register.
RFID + Computer Vision Sweethearting Prevention
Sensor- 1Accelerometer + GPS + Gyroscope +
BT
Samsung Pay / Smart Wallets
Rewards and LoyaltyPerishables and Inventory Management
● Integration into mobile apps for in-store e-commerce like experience.
● Better stock availability information: Walmart e-tail
Macy’s Department Store- Gamification
- Social Media Interaction
Security / Theft Detection◎ Cameras and automatic
monitoring◎ Next Gen security devices◎ Credit Card fraud
detection◎ Smart CCTV network
◉ Threat tacking
Inventory Management Perishables
Targeted Sales / Promotions
◎ Inventory management◉ Perishables◉ High Volume Goods
◎ Scenario Simulation◎ Targeted Sales and
Promotion◎ Credit Card fraud
detection◎ High Value Customer
tracking
High Value Customer Tracking
Courtesy: Prof. Haas
◎ Proximity detection ◉ Better advertising◉ Reactive “salesperson”◉ Targeted Offers
◎ Inventory management
◎ Logistics
◎ E-commerce plugin
◎ Pain Free stock taking
Make your own!
◎< 5$ device◎Subscription based delivery◉Household items◉Medicines◉Consumables
In-home Consumer Interaction
Courtesy: IEEE
Light the Sales?
◎ Average sales per customer up by
5.2% related to the dynamic
lighting installation.
◎ Customers spent more time in the
areas lit with warmer light settings
than those with cooler ones.
◎ Sales of high margin products up
by 17.1%
Really Know Your Customer
◎Run experiments to better understand your customer base◎Optimize advertising
spending to maximize RPU◎Logistics and Inventory◎e-Commerce
The IOT Universe
The Internet of Things (IoT) is the network of physical objects—devices, vehicles, buildings and other items which are embedded with electronics, software, sensors, and network connectivity, which enables these objects to collect and exchange data.
Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy.
Machine learning is the science of getting computers to act without being explicitly programmed.
Leverage IOT and Big Data to generate insight.