we make 200 food & bev choices daily
we have double the needed food available to us

7 in10 adults are overweight/obese
3 in10 kids are overweight/obese

we're 18% havier than in the 1970s
and it's not baby fat

we spend $52B on soft-drinks, $6.6B on ice-cream, $109B on beer
pricey guilty pleasures

we spend $66B on weight mgmt, $31B on gyms and $3B on Weight loss products
comfort food anyone?

there are 97 million Americans actively on a diet
no love for love handles

We're likely to overeat when with friends
We overeat at dinner or evenings, especially fat calories
We eat more when dinning out than when eating at home

We know the time gap between meals is a predictor of dinner meal size
Skipping breakfast increases likelihood of consuming more calories by the end of the day
We're challenged most on Weekdays between 6pm to 1AM
We eat more when stressed or sad

CJ learns user's preferences, goals, barriers and food trigers
Accompanies user through eating decisions, inside and out of home
It suggest eating/buying decisions

CJ periodically seeks input (Yay/Nay) from user to create profile (taste, allergies, preferences)
Nudges users towards goal-based foods at home, store or restaurant

CJ matches user's dietary needs/goals to restaurant menu information and grocery products
CJ uses data on food texture, mouthfeel, fullness for healthy food suggestions.

Expand customer taste profiles
CJ integrates other user data (exercise, sleep, mood)

“Someone took the time to make this food, and it would be rude not to have some.

Someone spent money to buy this food, and it would be rude not to have some.

Everyone around me is eating.

Everyone around me is done eating, but there is still food left.

My blood sugar feels a little low.

I drank too much coffee.”

“I’m happy.

I’m depressed.

My friend is happy, and I don’t want to make her eat alone.

My friend is depressed, and I don’t want to make him eat alone..”