What is food and drink tech, why is it relevant, and how is it disrupting our consumer behaviour? These are all areas we will examine in this presentation by looking at industry landscapes and processes that aim to create value for food businesses worldwide.

1. Disruptive Innovation:
A Synergistic Combination of Food, Behaviour, Design & Technology.
Raphaëlle O’Connor, Ph.D.
info@inewtrition.com

2. Content
• What is Food/Drink Tech? Why is it relevant?
• How is it disrupting the way we SHOP, SELECT, PREPARE, ENJOY & DISPOSE?
• What Value does bring the Consumer? What value for the Companies?
• Case Study Food Business: automatizing & customizing, convenience, data & trends,
personalization, traceability & sustainability.
How do we contribute to the future of food by moving from a culture of silos to a design
culture of collaboration, inspiration and mutual benefit?

3. Content

4. Content

5. Content

6. The Food Experience is Changing From:
Shop
• Intuitive / Impulse
Select
• Decision making /
Choice
Preparation
• Knowledge /
Information gathering
Consume
• Sensory experience
Dispose
• Reinforcement

7. To:
Shop
• Intuitive / Impulse
Select
• Decision making /
Choice
Preparation
• Knowledge /
Information gathering
Consume
• Sensory experience
Dispose
• Reinforcement
Unmet needs?
Unarticulated needs?
Unimagined needs?
Qualitative Research +
Quantitative Research +
Proof of Concept

8. To:
Food
Technology
Design
Environmental
Science
Behavioural econom
Disruptive / Sustaining / Efficiency
Innovation
Redefining consumption occasions?
Change entrenched association between products & occasions?
Creation new F&B sectors?
Segmentation

9. Traditional market research Design research
• Improve existing things
• Explicit needs reported
• Market segments
• Artificial settings
• Static interviews
• Inform maintenance
• Consumer research
• Inspires new possibilities
• Latent needs revealed
• Individuals
• Natural context
• Dynamic conversation
• Inform creation
• AI, data modelling, analytics
Collection and intelligent use of data to
refine and rank consumer preference drivers:
Obtain, Scrub, Explore, Model, Interpret
Curation
Design Research to Support Innovation

10. Data modelling & analytics to build predictive
models (AI)
Deep market insights:
• Competitive market
mapping
• Emergent preference
prediction
Innovation management:
• New Product Development
• Product reformulation
• Portfolio management
• Product adaptation
Cognitive marketing:
• Flavour profile
preference priming
• Consumer value
chain psychology
prediction

11. Understand Consumers Through Empathy
• Data modelling & analytics
• Consumer science & research, trends & insights – fragmentation and customisation
• Global & local sensory mapping per market using preference mapping
methodology / principal component approach.

12. Faster Innovation - Empathic Design & Agile
Market Orientation
Preference Mapping
Important Sensory
Attributes
Consumer Clusters
Drivers of liking
Open Knowledge
Platform
Databases Predictive modelling tools Refine concepts
• Technologies / Processes
• Nutritional profile
• Product Parameters (label)
• Sensory attributes / signature
Product ApplicationConsumer Testing
• Discriminant Analysis
• Principal Component Analysis
• Cluster Mapping
• Preference Mapping
• Identify unmet needs

13. Technology
Consumers
(Device & diagnostic
driven)
Nutrition
Consumers
(supplements driven)
Lifestyle
Consumers
Mass-market
Consumers
Skin Health
Performance Nutrition
Women’s Health
Infant Nutrition
(A2 milk)
Weight Management
Health benefits / platforms
Free-From
Functional Foods & Beverages driven
Digestive Health
Brain & Cognitive Health
Healthy Ageing
Heart Health
Device driven
Blood
Supplements driven
New delivery platforms
Diagnosis driven Microbiome Nutrigenomics
Bone & joint health
Immune health
Energy & Stamina
FODMAPS
User generated
products

14. Design of experiments, pilot plant and
stage-gate processes are no longer
sufficient for Innovation . New mindset and
culture are required for successful R&D
teams: big data to stay ahead of the game &
sell it as a service for value added creation.
Sensory Health
Benefit
Mood
Microbiome
DNA
PERSONALISATION
CONSUMER
Insights
Tensions
Needs
Pains
Occasions
Trends
Body
New Challenge becomes: how do
you bridge the transparency &
maintain the trust?

15. New food environment for developers and food
technologist
Validated opportunity: differentiated value creation and proposition
Consumer journey: unarticulated pain and needs with brain
and body-storming sessions
Technology:
• Smart Home
• Connected kitchen
• Digital content & services
• Solutions leveraging technologies
R&D:
• Unify and use data to test hypothesis & draw
conclusions
• Discriminant analysis
• Risk-Opportunity plot
• Artificial intelligence
• Test hypothesis
• Introduce modelling
• Machine learning algorithm (platform for discovery
through multi-dimensional mapping.
• Global economy
• Open innovation
• Forever changing regulatory landscape and compliance
Know and understand your customer and consumer deeply
Functional benefit?
Emotional benefit?
Nutritional benefit?

16. Value for Consumers
• Uniqueness
• Convenience & Easy to use
• Experience -Freshly made at home
• Exclusivity
• Instantaneity
• Personalisation
• Easy to understand, use and time saving
• Reassurance via coaching /DNA /Science
• Reassurance doing the right thing
• Transparency where the food is coming from

17. Value for Ingredient Companies
• Machine learning methods and systems for ingredients discovery.
• AI is speeding up the R&D pace by cross-linking data
• Commercialization of science

18. Value for Manufacturing Food & Beverages
Companies
• Leveraging technology to ensure product transparency
and safety as well as food waste management.
• New business models / Additional sources of revenue
• Addresses «processed barrier»
• User Generated content
• Reduce processing costs
• Premiumisation
• Transforming brands into experiences
• Brand building - Be leader in Health & Wellness

19. Value For Tech Companies
• Additional sources of revenue
• Data capture & machine learning
• User generated content
• Data collection
• Data monetisation
• Brand building
• Trust building & story telling – emotional connection

20. Final Food For Thought
Q1 - How do we contribute to the future of food by moving from a
culture of silos to a design culture of collaboration, inspiration and
mutual benefit?
Q2 – How are R&D and Technology developers going to leverage
capability and expertise synergistically to enhance consumer
experience?

21. What does success
look like to you?
info@inewtrition.com