The next wave of digital disruption in retail and hospitality_CDW_Intel

1. The Next Wave of
Digital Disruption in
Retail and Hospitality

2. Andy Szanger
Director, Corporate Sales
David Dobson
Global Industry Director, Retail,
Hospitality & Consumer Goods

3. Transformation is no longer a choice – it’s a business imperative
Most common pain points:
Transformation in Retail
Making it work
with a lean staff
Cost of deploying and
running a solution
Additional
training for their
sales associates
Creating a good change
management process
for technology adoption
Introducing
risk into the
environment

4. Transformation in Retail
Retailers across the globe are rapidly developing
digital commerce strategies to capitalize on the
$4.5 trillion
market opportunity digital transformation presents
Is it worth it?

5. AI’s Place in Retail
AI creates an opportunity to
bridge the gap between virtual
and physical sales channels
AI could save retailers as much
as $340 billion annually by 2022
When it comes to AI, do you lack the
right internal resources and skills?

6. Case Study:
Computer Vision
Utilized enhanced deep
learning neural networks to
take analytics to the next level
The Power of Machine Learning
Source:
https://www.intel.com/content/www/us/en/internet-of-
things/solution-briefs/intel-vision-products-business-brief.html

7. Visual Retailing
Sources:
https://www.cdw.com/content/cdw/en/resources/the-growth-of-digital-signage.html
https://www.digitalsignagetoday.com/blogs/how-digital-signage-reduces-perceived-wait-times
https://www.intuiface.com/blog/the-5-best-interactive-digital-signage-digital-menu-board
• Digital signs capture 400% more views than static signs.
• 62% of shoppers prefer self-service and self-checkout to
human interactions.
• Quick-service restaurants that offer diverse forms of digital
signage represent 20% of the digital signage industry today.
• Digital signage reduces the perceived wait time at checkouts
by as much as 35%.

8. • 2020 + 2021: Time to deploy technology,
particularly AI
• Implement AI and ML solutions to gain
insights into your data
• Continue the conversation:
Where We’re Headed
Join us in Booth #3663
for a Bring IT On session