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The Future of Digital Retail

• Anticipating future trends and developments
• Plan for future value and avoid obsolescence
– What problem are you trying to solve?
– How will the solution be used?
– How robust does it need to be?
• Ensure flexibility to manage changing formats and deployment patterns

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Disruptors – Physical and Digital

– CVS Health: 37% of 2014 capex was on technology and
other corporate initiatives
– Nordstrom: 35% of 2014 capex; plans to spend $4.3 billion
(5% of sales) over next five years
– Walmart: 29% of 2014 US capex; spending “$1.2–$1.5
billion in e-commerce websites and mobile commerce
applications”
– Home Depot: “Tilting investments towards interconnected
retail and technology

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EXPLORIUM DISCOVERING THE FUTURE OF RETAIL

On September 24th, we were in Shanghai to attend the opening ceremony for Explorium, a Fung Group initiative in collaboration with IBM and Pico. Explorium is an innovative experimentation platform over the future of retail. report is a recap of what we saw.

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Top Ideas on Global Retail and Tech

FBIC TOP 20 RETAIL & TECH TRENDS
1. Ecommercification: More Convenient Payment
2. In-Store Shopping Becomes More Purposeful
3. Webrooming
4. Increasingly Personalized Shopping
5. At-Home Beauty Devices Limit Salon Visits
6. Geofencing and Beacons Enable Location-based Marketing

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EXPLORIUM: DISCOVERING THE FUTURE OF RETAIL

On September 24th, we were in Shanghai to attend the opening ceremony for Explorium, a Fung Group initiative in collaboration with IBM and Pico, which is an innovative experimentation platform over the future of retail. This report is a recap of what we saw.

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Connected Cars: A Mobile Device Cruising

Automobiles are logically the next devices to be connected to the Internet, since we spend so much time in them and want connectivity everywhere. They will function as nodes in the Internet of Things (IoT), which is forecasted to encompass 50 billion devices by 2020.

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The Disruptors – The New Connected World

Machine Learning and Artificial Intelligence (AI)
• Machine learning finding its way through startups into applications like
marketing, security, and operations
• Deep learning includes computer vision, speech recognition, natural
language processing, and bioinformatics
• Companies today are using neural networks to
identify objects for use
in driverless cars

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The Potential And Pitfalls Of Consumer Data-Mining

As the era of Internet of Things progresses, gaining a 360-degree profile of consumers will become even easier. In the fast-moving world of retail, companies may have to constantly review their strategies for gathering information on consumers in order to stay ahead of competition. But they will also need to navigate ethical grey areas.

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