Proprietary AI that leverages food science knowledge, e.g. nutritional value of
ingredients, huge long-tail data, e.g. chef communities, to predict consumer needs and trends.
WHY AI-POWERED INNOVATION IS MORE IMPORTANT THAN EVER BEFORE
Food & beverage businesses are fed up with rising cost of market research especially when its value and appropriateness is diminishing.
Emerging agile brands continue to eat the market share of well established incumbents.
Innovation professionals have started to recognize the archaic nature of current research methodologies and limited volume of data being analyzed.
Other industries have successfully applied AI to create a step change in their capabilities e.g. financial services and healthcare.
FOOD SCIENCE & AI, A WINNING COMBO
We use AI techniques, like Natural Language Processing and Computer Vision, to build organized
information from unstructured data. We do this by leveraging food science principles to establish
relationships between these information points. Depending upon the application or insight required,
the appropriate data sets and connections are employed.
We process data relating to the physical and chemical properties of ingredients and understand
how ingredient interactions impact a final recipe, to deliver insights that are strongly validated
and highly relevant to you.
SPOONSHOT’S END-TO-END APPROACH
#foodbrain looks at ingredient combinations by evaluating factors such as popularity, novelty,
acceptability, region, demographics, flavor (taste, smell, texture), and nutrition.
Our AI suggests innovation opportunities personalized to your profile (food category, trend
indicators, user feedback, portfolio strategy etc.), showing you the most novel insights,
giving you a genuine competitive advantage. You get early leading trend indicators, evidenced
by diverse and local data sources.
Spoonshot equips the food and beverage industry with unprecedented foresight of emerging
consumer and market needs. Spoonshot’s proprietary food science infused algorithms connect
disparate data sets, to deliver personalized insights, predict trends, and identify novel