9. Case: Adidas
9Source: FashionBi (2014).
Offline > online
Research > Purchases
This problem of not having enough space to
exhibit their entire product range was sensed
by Adidas, which lead to them partner with
Intel to create a virtual footwear wall,
Adiverse. Adidas has been using digital
signage in its stores for years to promote
products and show product videos but this 3D
interactive wall virtual wall is a step ahead. It
is a natural extension of their physical
product range as it showcases the virtual
product range, it allows customers to interact
with the entire footwear line available on
their website, not just what was on the
shelves.
By sensing the gender of the customer, the
virtual wall makes product recommendations
and provides all information about the
product. Products chosen on the virtual wall
can be purchased from the store just like the
products in their physical product range. This
way, an Adidas store in a small town can
seem like a flagship store as it would have all
merchandise under their roof.
13. Case: Tiffany
13Source: FashionBi (2014).
Online
Research
The Tiffany and Co Engagement Ring Finder
app brings the smooth and uncluttered
shopping experience of the Jeweler’s website to
smartphones. Users can browse rings by shape,
setting, metal, design and six different carat
sizes Rings are displayed true-to-size and from
multiple angles with zoom functionality.
Another interesting feature of this app is the
‘Ring Sizer’ which helps the customer find their
exact ring size by placing one of their rings on
the screen. Potential customers can also see
how it looks on their hand by placing their hand
over the screen and photos of this can be saved
and shared to get others opinions before
finalizing on an engagement ring.
16. Opportunity matrix (“our take”) for tools and technologies
16Source: Vinna Ventures, September 2015
Opportunity*
*
Risks*
Legend:
- The above presented matrix represents a subjective version of the opportunity field for value-adding technologies in online commerce, which can be further
analyzed and “rationalized” within a more comprehensive study in the future about market sizes, competitors, margins, go to market options (e.g. partnerships
vs. M&A).
- * Risk: as perceived in terms of timing (short- vs. long-termed), competition, financial needs and uncertainty;
- ** Opportunity: in terms of potential revenues and impact (game changers).
Unmanned
vehicles
Smaller Mid-size Large
Lower
Higher
Cloud
technologies
Cross-device
marketing
Automated ad
formats
3D printing
Programmatic
buying
Re-engagement
Cost-controlling
Wearables
Predictions
Experience
sharing
Mobile payments
Augmented
reality
Security
Analytics
Interactivity
Order
customization
Curation systems
In-store
convenience
Loyalty programs
Beacon
Cross-border B2C
Digital content
enablers
Speech
recognition
Machine
learning
Gamification
Fair trade
Customer
acquisition
M-commerce
optimization
17. Most promising opportunities in e-commerce and retail
17
Enhancing Customer Experience
Solutions that makes the customer experience faster, easier or more efficient are highly
sought after in the US market.
Mobile Commerce
The customers are moving towards mobile. The use of mobile phones for comparison,
peer validation, inspiration and discounts is growing rapidly. The mobile phone is an
essential tool in the new retail landscape.
Supply chain management and logistics
Products and solutions that optimizes backend services like supply chain and logistics
and saves costs is still rather over looked, but shows great potential.
Data Analytics
Customer data has been utilized for increased sales in retail for years, but new solutions
makes analytics useful for planning and operations of stores, both online and offline.
Curation and recommendation
New technologies such as artificial intelligence (AI) and machine learning is used to
improve product recommendations in retail. The social shopping and digital influencer
phenomena is also growing stronger, particularly in the younger generation.
18. Enhancing Customer Experience
18
Besides various articles, several interview respondents mentioned products and services that
enhances the customer experience, both online and offline, as a key areas where there is a high
demand. Any solution that makes the customer experience faster, easier or more efficient are
deemed as interesting and highly sought after on the US market.
Several companies are working on various smart algorithms, AI systems and other ways to
make the experience more pleasant, but also more tailored services and systems for providing
customers really personalized offerings was mentioned. Smoother check out and payment
processes such as paying with and app for Über instead of in cash for a taxi was also an area of
particular interest that came up frequently.
Shop.co
Enhanced shopping via Machine Learning and Ai.
www.shop.co
Lowes - OSHbot
Robots for information and in-store guidance.
fellowrobots.com
19. Curation and recommendation
20
In an environment with too much information and too many options at hand, a strong trend
that is coming is curation and personalized selections. Both IRL personal shoppers and new
technologies such as AI and machine learning is used by several new companies to improve
product recommendations.
Blynk Style
“Tinder for shopping” an app for
personal styling suggestions
www.blynkstyle.com
The social media influenced shopping phenomena is
growing stronger, particularly in the younger generation.
The Millennials are getting a lot of shopping influences
from sites such as Pinterest, Instagram Youtube and
various fashion blogs. The power of the fashion
influencers is very strong and it’s starting to have a
massive impact on marketing budgets as well. There is a
bright future ahead for companies that can provide good
tools to measure influencer marketing and the ROI there
according to one of the respondants.
Limespot
Advanced Content Personalization Technology
limespot.com