Personalized Nutrition Through Connected Data - Chatbot for Nutrition

Eating well made simple using
connected data.
Personalizing Nutrition
Through Connected Data

The rise in aging population and food related chronic conditions in the digital era creates
a vast opportunity to inspire people to maintain healthy lifestyles using technology.
A critical condition about healthy nutrition is that it must be prescribed in the context of
everyday life. Data should be used to better understand the 'soft science' of wellbeing
and emotions associated with food and personal care and direct them towards a
healthier and happier way of life.
In this paper, we’ll discuss how making sense of consumer data via artiﬁcial intelligence
can personalize nutrition, change behaviors and positively impact health and cost at
scale.
1© 2018 LIFEdata. All Rights Reserved. lifedata.ai
Why can’t science solve our most basic question of survival? In many ways, it’s the
simplest possible question: What should we eat?
Food surely seems like the sort of problem that science should be able to solve. After all,
there are millions of test subjects and experiments going on every day. Why can’t we just
measure what people do every day and run the numbers? To solve the health and
nutrition problem, a mindset shift from current dependence on “sick care” oriented
systems to predictive models, and emotionally intelligent technologies that understand
consumers (not “patients”) at the individual level, to help them eat healthy, prevent
diseases and stay well [i]
.

What Should We Eat?
Poor diet is a factor in 1 of 5 deaths around the world, according to the most
comprehensive study ever carried out on the subject [ii]
. Diet-related diseases are the
principal health burden in Europe [iii]
. About half of American adults have one or more
preventable chronic diseases, related to poor quality eating patterns [iv]
. In China, the
major causes of diseases have shifted from predominantly infectious diseases to
overweight/obesity [v]
. If this trend persists, 1 in 4 Chinese kids will be obese by 2030 [vi]
.
Vitamins, minerals, supplements, low gluten, low carbohydrates, low cholesterol — entire
industries have been built on the inclusion and exclusion of certain substances in our
diets. Avoiding disease is the general goal here; usually heart disease, with cancers a
close second. But peer-reviewed science that connects these various inputs to specific
outputs is surprisingly scarce. The pleasure we get from food, of course, is precisely why
we consume so much bad stuff. Today, we’ve engineered a civilization exquisitely
designed to serve us up that bad stuff in endless amounts (I’m looking at you, Ronald
and Wendy and Colonel and Taco John). We may know it’s all bad for us, but we can’t
help ourselves. Or we figure that one more scoop or slice won’t be so bad. And it’s not
just our biology, and the fast food industry, that is throwing contradictions at us. Food
goes to the heart of the two landmines of human existence, religion and politics. There’s
hardly a major faith that doesn’t stipulate what people should eat in one form or
another, whether it avoiding certain meats or only eating fish on Fridays. No wonder
we’re confused.
However, this same crisis generated a valuable opportunity for food producers, health
and wellness providers and payers, to leverage emotionally intelligent technologies to
deliver personalized experience, attract new consumers, and reduce costs [vii]
.
Personalization and engagement will drive food, vitamins and dietary supplements; and
make them all converge with traditional healthcare [viii]
.

Recent years have witnessed several changes in the landscape of nutrition and health.
Nevertheless, existing nutrition solutions are fragmented and generic due to the lack of
context and real-life input.
In his acclaimed book “The Patient Will See You Now”, leading digital health advocate Dr.
Eric Topol envisions a world in which patients manage their health so effectively with
digital tools. He tells of a future where consumer technologies empower people to do
things like self-diagnose, receive customized treatment plans, and automatically track
their biometrics. People living with diabetes will be among those with the most to gain
from such a future [ix]
. Contextual awareness and AI are essential for this vision to come
to pass.
In January 2018, Herbalife’s survey in Asia Pacific showed that 1 in 3 consumers are
interested in personalized nutrition, 32% believed supplements to be necessary for
balanced nutrition, while 30% would take supplements or meal replacements to achieve
nutrition goals [x]
.
In March 2018, a study by Accenture shows that health related wearables have tripled in
two years and artificial intelligence healthcare will increase eleven times over 7 years.
Nearly half of healthcare consumers are using mobile apps to track their fitness, lifestyle
and vital signs. 90%, 72%, 38%, 41% of consumers are willing to share their wearable
health device data with their doctor, health insurance plan, their employer and
government agency, respectively [xi]
.
Make Eating Well Personal
3x
Wearables increase
2014 - 2016 [xi]
.
2x
Global lost productivity
to direct healthcare cost ratio.
Increase in AI healthcare
in the coming 7 years [xi]
.
11x
The average number of
food decisions you make
per day.
Research shows that
what you eat is 3X more
important than physical
activity.
People with diet-related
chronic conditions cost
health plans, on average,
this much more.
The full potential of connected devices is only achieved when
they are tied to individual identities
Gartner Report, The Identity of Things for IoT
Nonetheless, without algorithms that leverage intrinsic, extrinsic, and real-time
data around a person’s life, personalized recommendations cannot be achieved.

Scanning the wellness/fitness landscape, the existing solutions are piecemeal
incomplete (either vitamins, supplements, sports, or beauty supplements), at times
superfluous and across the board generic.
All these apps fail to include context, biometrics, environment, and life habits of the
user. None uses voice-enabled conversation to discover the person’s profile and
preferences. Finally, it is too cumbersome to have this many apps on one’s phone and no
one app that does it all [xii]
.
Strengths and Weaknesses of
Personalized Nutrition Solutions
COMPANY OVERVIEW
HEALTH &
FITNESS
CHRONIC
DISEASE
CORPORATE
WELLNESS
Weight loss and meal plan app, quiz to learn the user’s taste, family size and goals, virtual
coaching and video lessons, shopping lists, optional grocery delivery with Instacart.
Weight loss and diet app, quiz for right diet from 12 available types, macro tracking, daily goal
tracking, weekly life score, recipes and connect with wearables and friends.
User selects vitamin gummies. daily packs sent in a 4-week subscription. Varieties include
omeg3, biotin, probiotics, calcium, vitamin C and D3 and multivitamins.
Coach support through app or phone, family, food and exercise goals, coaches review and
provide actionable feedback, initiative of the Health Promotion Board in Singapore.
Vitamins and supplements on questionnaire, ships monthly allowance of daily packs, areas:
brain, energy, eyes, stress, heart, immunity, joints, skin, prenatal, digestion and bones.
3D printing and robotics, tailored supplement capsules, quiz for type, quantity and time
release. One capsule a day.
Questionnaire for vitamin and supplement profile. A dietitian reviews and recommends HUM
vitamins and supplements.
Mosaic
Nutrition
Meal replacement shake, complete nutritional profile 40/30/30 plan and customized vitamins.
Proprietary HDI™ platfom, vitamins and supplements, offers a line of wearable devices.
STYR Lab Proprietary HDI™ platfom, vitamins and supplements, offers a line of wearable devices.
Biometrics, help to select, purchase, and prepare healthy foods. Clients are companies,
health plans, & wellness centers.
Helps companies with employee well-being and culture, via social recognition, challenges,
and interactive learning.
Help companies with employee experience through wellness in technology, culture and
physical spaces.
30 sec survey, live support coach. behavior change chronic and pre-chronic conditions of
hypertension and diabetes.
App for diabetes and pre-diabetes, user snaps a meal photo for a dietitian to review, daily
suggestions for a diet plan, interactive lessons.
Artificial Intelligence based platform for diabetes, hypertension, and obesity. It is a mobile
based digital coach that tracks activity, and weight goals in real time.
FoodScripts™ Prescriptive nutrition for hypertension, diabetes, obesity, pilot customers early spring 2018.

Uncover the Connections
Between People and Food
Today, consumers expect personalized experiences when they interact with brands. And
that means marketers aren’t just closing transactions, they’re building relationships. By
coupling their data with machine learning, marketers can understand new audiences
that are similar to their best customers. That’s a win-win.
The way data is tracked today is narrow in scope. Apps and devices do not take into
account the user’s physical world experience nor gain insights from other devices. This
narrow view of the user limits the app or device’s ability to impact the user’s choices.
This is where LIFEdata technology comes in. LIFEdata platform is a Conversational AI As-
a-Service (human-like AI) to implement artificial intelligence fast and generate value for
your company leveraging contextual, personalized interactions.
From a business perspective, an app equipped with behavioral profiles – or with “user
awareness” – will drastically improve end-user engagement and result in better health
outcomes.
DIGITAL NUTRITION PLATFORM
LIFEdata PersonalHEALTH is the most personalized digital nutrition and lifestyle
platform, uncovering the invisible connections between people and food to empower
better nutritional decisions for better health outcomes.
It’s not about counting calories anymore. It’s the digital signature of how food affects the
body. Our technology recognizes that not only will two people respond differently to the
same food, but a single individual may respond differently to the same food at different
times balancing in real time nutritional fitness of foods that love you back.

Use Data for Nutritional Fitness
LIFEdata is an artificial intelligence based nutrition and lifestyle platform that helps
individuals adopt a healthy nutrition by learning and utilizing each person’s life habits,
environment, motivations, and behavioral change patterns.
Our platform’s mobile app and web interface sync with our database of nutrition data,
millions of recipes, and smart lifestyle suggestion AI. We use a wide array of data inputs,
from surveys to medical histories, to create highly personalized recommendations for
each user. LIFEdata is designed to change people’s behavior around food. The app learns
the users’ preferences and lifestyle and – depending on the specific goal, profile, lifestyle
and environmental conditions (pollution, for example) – can suggest recipes and
shopping list. The platform is designed to change people’s behavior around food by
translating raw data streams originating from the user’s mobile phone, interactive
language and other connected digital devices into insights about life habits, schedule,
activity patterns, driving and walking routes, surroundings, temperature, pollution…etc.
and - depending on a specific health goal - suggests recipes, shopping list or meal
options in restaurants. Suggestions are generated by hundreds of AI algorithms based
on individual preferences and data the app has collected about the user.
Based on the principles of brain science as much as nutritional science, the platform
works on understanding why the user has not been eating the way she aims to, already -
through personalized, contextual recommendations, and providing decision support and
encouragement throughout the day to make material improvement with time. For a
person living with diabetes, this may look like their diabetes app urging them to eat an
apple as they're entering the gym before a workout
Messages are analyzed to identify what types of messages, emitted where and when,
result in better compliance (e.g. time of the day, location, activity, effect of consecutive
nudges of different types,… etc). By knowing the user’s real-world habits and activities,
an app provider could send alerts to the user at critical moments. For example, it could
prompt them to eat a healthy snack just as their blood sugar is likely to start sinking.
The professional version of LIFEdata enables healthcare professionals to write
prescriptions for food in treating chronic disease, with specific modules that address
conditions such as hypertension, diabetes, obesity, Crohn’s, Alzheimer’s. LIFEdata PRO is
a lifestyle engagement and support platform that improves treatment adherence and
quality of life outcomes, reduces patient hospitalization and healthcare costs.
LIFEdata is building the world’s largest and most personalized nutrition insights
platform, uncovering the invisible connections between people and food to empower
better nutritional decisions for better health outcomes. We support food, supplements,
pharma, healthcare and wellness companies personalize their offerings around food,
with nutrition-related data services, analytics, and technologies focused on the digital
signature of how foods affect our body.

Business applications
Consumers were asked whether they would take advantage of free advice for weight management or help
with diet-related medical conditions from a nutritionist or dietitian from each of these entities.
Source: PwC Health Research Institute Consumer Survery, 2016
DOCTOR PHARMACY GYM
EMPLOYER GROCERY STORE BIG BOX STORE
79% 59% 41%
38% 28% 17%
• Nutritionist or retail assistant for skincare, hair care, supplements, or pharmacy
products.
• Direct to customer support for personalized nutrition, skin or hair care
• Strategic partner to pharmaceutical companies as payment becomes value based,
personalized nutrition shall be used to prevent costly medical problems.
• Healthcare professionals support to prescribe food to address chronic conditions
through personalized, evidence-based nutrition programs.
• Strategic partner to food producers to deliver products healthier and more
personalized food products to their customers.
Health tech innovations will not just improve healthcare, but will
create a better and more responsive healthcare system for everyone
Joseph C. Kvedar, MD, Connected health visionary

BUSINESS CASE
8
CHALLENGE
A food company introduced LIFEdata solutions to engage their consumers anytime
throughout the day becoming not only a food company but the brand building their
eating habits. LIFEdata platform was customized with the look & feel and the brand
personality to talk directly with the ﬁnal consumer, recipes and nutritional know how
from the R&D was re-crafted to become actionable, real-life support to any customer.
BUSINESS NEEDS
Contextual and voice-activated support was introduced helping people cook healthier
with what they have in their kitchen, guiding them step by step from the ingredient
selection to recipe preparation and shopping list creation.
SOLUTION
A simpliﬁed, guided selection between the right food environment (created for each
individual from their life data and preferences) made it the right tool to teach smart
eating to children and families in order to prevent chronic diseases.
Personalized Nutrition For
Premiere Food Company
© 2018 LIFEdata. All Rights Reserved. lifedata.ai

9
CHALLENGE
A prime food company leader in its industry is main sponsor in several sports. The
company is managing separately sponsorship, social media, website, mobile apps and
their presence on the websites of athletes and federations that they sponsor. CRM was
not smooth as they are not having a sole data foundation for the same user.
BUSINESS NEEDS
The client decided to integrate LIFEdata technology on their website, social media
channels and mobile apps to recall their sponsorships and create an active engagement
through biomarketing. Instead of managing passively important sponsorship
investments, the client went the extra-mile building a contextual initiative around
sponsorship, nutrition, their values and their oﬀer. For example, based on the user’s
sport preference each user is getting speciﬁc educational content, personalized food
recommendations and the client’s products are proposed contextually based on the user
preferences/intent.
SOLUTION
If the user is geolocated on the mountains or liking winter sports, he will get
personalized nutrition recommendations targeted to his preferences, these sports and
location with sponsored content by winter sports athlete sponsored by the company.
Mobile Engagement Through
Biomarketing For Premiere Food
Company
BUSINESS CASE

10
CHALLENGE
Suisse Life Science introduced LIFEdata solutions to deliver value with actionable,
personalized nutritional, metabolic and lifestyle guidance from genetic testing.
BUSINESS NEEDS
As consumer tests come to the fore and patients arrive at their doctor appointments
brandishing their own genetic data and full of questions and opinions. With the
increased use of the Internet for medical information, consumers have become medical
consumers not just patients This has created a change in the doctor/patient relationship
as individuals become more knowledgeable about their own health and want more
control over their personal information and treatment decisions. Physicians, meanwhile,
are concerned about giving patients too much access to information they may not
properly understand. Even many doctors aren't well-trained in the clinical implications of
genetics and genomics.
SOLUTION
A personalized health program that ﬁts patients’ lifestyle and habits starting from a
conversational AI genetic counsellors guides individual towards personalized healthy
eating and nutrient deﬁciencies prevention.
Personalized Nutrition
From DNA
BUSINESS CASE

References
[i] “From Sick Care to Health Care — Reengineering Prevention into the U.S. System” Farshad Fani Marvasti, M.D., M.P.H., and Randall
S. Stafford, M.D., Ph.D. http://www.nejm.org/doi/full/10.1056/NEJMp1206230
[ii] “Poor diet is a factor in one in five deaths, global disease study reveals” The Guardian, Sarah Boseley Health editor Thu 14 Sep
2017 https://goo.gl/iPvxhh
[iii] “Food and health in Europe: a new basis for action” WHO Europe 2011
http://www.euro.who.int/__data/assets/pdf_file/0005/74417/E82161.pdf
[iv] “Nutrition and Health Are Closely Related ” 2015-2020 dietary guidelines
https://health.gov/dietaryguidelines/2015/guidelines/introduction/nutrition-and-health-are-closely-related/
[v] “Diet, Nutrition and Chronic Disease in Mainland China ” Journal of Food and Drug Analysis, Vol. 20, Suppl. 1, 2012
https://www.fda.gov.tw/upload/189/Content/2014012817040461643.pdf
[vi] ”One in four Chinese children expected to be overweight by 2030 amid obesity epidemic ” Telegraph, Neil Connor, Beijing, 12 MAY
2017. https://goo.gl/gXHvFw
[vii] “Unexpected: Five Ways Technology Will Challenge Conventions” Cognizant Global Technology December 2017
https://www.cognizant.com/whitepapers/unexpected-five-ways-technology-will-challenge-conventions-codex3122.pdf
[viii] “The rise of wellcare: A new market at the nexus of health, food, and beauty ” PWC Strategy. July 29, 2017
https://www.strategyand.pwc.com/reports/rise-of-wellcare
[ix] “DIGITAL HEALTH, PART 2: The promise and practice of telehealth in BC” BC Medical Journal, December 2017.
http://www.bcmj.org/sites/default/files/BCMJ_Vol59_No10_complete.pdf
[x] “Personalised nutrition gaining popularity among consumers in Asia Pacific” May 2017 By Cheryl Tay.
https://www.nutraingredients-asia.com/Article/2017/05/04/Personalised-nutrition-gaining-popularity-among-consumers-in-Asia-
Pacific
[xi] “Meet Today’s Healthcare Team: Doctors + Patients + Machines ” Accenture 2018 Consumer Survey on Digital Health.
https://www.accenture.com/t20180326T034756Z__w__/us-en/_acnmedia/PDF-71/Accenture-Health-Meet-Todays-Healthcare-Team-
Patients-Doctors-Machines.pdf
[xii] https://www.platejoy.com/
https://lifesum.com/premium/
http://vitafive.com/
https://getsuperleap.com/
https://takecareof.com/
https://www.multiplylabs.com/
https://www.humnutrition.com/
https://mosaicnutrition.com/
https://www.motionnutrition.com/
https://www.styr.com/
https://meetzipongo.com/
https://www.limeade.com/
https://www.wellable.co/home
https://www.noom.com/
https://glycoleap.com/
http://sweetch.com/

We believe organizations are underutilizing data. Only 13% are leveraging their
investments to realize both cost saving efficiencies and new business growth.
The right technology combinations will vary across industries, and will change over time
as technologies evolve. What’s more, the mix required to lower costs differs from that
best suited to driving top-line growth.
LIFEdata creates end-to-end Artificial Intelligence solutions for enterprise brands
who want an easier way to communicate the right information, at the right place,
in real-time to their customers.
CONNECTING THE DOTS BETWEEN LIVING DATA.
It’s not about the data, it’s about what you do with the data in terms of making sense of
it. We help clients discover hidden patterns in data and capitalize on these insights.
We transform businesses by shaping the way people interact with them.
MAKING YOUR BUSINESS PERSONAL. AT SCALE.
The most growth lies deeper in the customer experience. 
We specialize in experimentation across all the customer journey to grow your revenues.
We develop tools to collect and organize data, then create interventions and platforms
that utilize the insights gained from that data for targeted interactions based on
biomarketing and quantified biology (behavioral engagement from biometric data and
connected devices).
© 2018 LIFEdata. All Rights Reserved.
info@lifedata.ai
lifedata.ai
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in less than 4 weeks. Get in touch for a demo.
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