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.
2. Content
โข What is Food/Drink Tech? Why is it relevant?
โข How is it disrupting the way we SHOP, SELECT, PREPARE, ENJOY & DISPOSE?
โข What Value does bring the Consumer? What value for the Companies?
โข 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?
9. Traditional market research Design research
โข Improve existing things
โข Explicit needs reported
โข Market segments
โข Artificial settings
โข Static interviews
โข Inform maintenance
โข Consumer research
โข Inspires new possibilities
โข Latent needs revealed
โข Individuals
โข Natural context
โข Dynamic conversation
โข Inform creation
โข 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:
โข Competitive market
mapping
โข Emergent preference
prediction
Innovation management:
โข New Product Development
โข Product reformulation
โข Portfolio management
โข Product adaptation
Cognitive marketing:
โข Flavour profile
preference priming
โข Consumer value
chain psychology
prediction
11. Understand Consumers Through Empathy
โข Data modelling & analytics
โข Consumer science & research, trends & insights โ fragmentation and customisation
โข Global & local sensory mapping per market using preference mapping
methodology / principal component approach.
13. Technology
Consumers
(Device & diagnostic
driven)
Nutrition
Consumers
(supplements driven)
Lifestyle
Consumers
Mass-market
Consumers
Skin Health
Performance Nutrition
Womenโs 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:
โข Smart Home
โข Connected kitchen
โข Digital content & services
โข Solutions leveraging technologies
R&D:
โข Unify and use data to test hypothesis & draw
conclusions
โข Discriminant analysis
โข Risk-Opportunity plot
โข Artificial intelligence
โข Test hypothesis
โข Introduce modelling
โข Machine learning algorithm (platform for discovery
through multi-dimensional mapping.
โข Global economy
โข Open innovation
โข Forever changing regulatory landscape and compliance
Know and understand your customer and consumer deeply
Functional benefit?
Emotional benefit?
Nutritional benefit?
16. Value for Consumers
โข Uniqueness
โข Convenience & Easy to use
โข Experience -Freshly made at home
โข Exclusivity
โข Instantaneity
โข Personalisation
โข Easy to understand, use and time saving
โข Reassurance via coaching /DNA /Science
โข Reassurance doing the right thing
โข Transparency where the food is coming from
17. Value for Ingredient Companies
โข Machine learning methods and systems for ingredients discovery.
โข AI is speeding up the R&D pace by cross-linking data
โข Commercialization of science
18. Value for Manufacturing Food & Beverages
Companies
โข Leveraging technology to ensure product transparency
and safety as well as food waste management.
โข New business models / Additional sources of revenue
โข Addresses ยซprocessed barrierยป
โข User Generated content
โข Reduce processing costs
โข Premiumisation
โข Transforming brands into experiences
โข Brand building - Be leader in Health & Wellness
19. Value For Tech Companies
โข Additional sources of revenue
โข Data capture & machine learning
โข User generated content
โข Data collection
โข Data monetisation
โข Brand building
โข Trust building & story telling โ 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 โ How are R&D and Technology developers going to leverage
capability and expertise synergistically to enhance consumer
experience?