Discover 5 Top Digital Food Recommendation Solutions

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the food industry. This time, you get to discover 5 hand-picked digital food recommendation solutions.

Global Startup Heat Map highlights 5 Top Digital Food Recommendation Solutions out of 163

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-powered StartUs Insights Discovery Platform, covering 2.093.000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 163 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 food startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 158 digital food recommendation solutions, get in touch.

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Baskette provides Diet-based Restaurant Recommendations

With the wide adaptation of urban lifestyle, eating-out and order-in cultures have become a part of people’s daily food habits. But with increasing health consciousness, consumers find it difficult to find food recommendations that align with individual health goals. To this avail, startups are developing solutions to streamline restaurants and food recommendations based on personal health aspirations.

US-based startup Baskette optimizes individual health and dietary plans by recommending suitable restaurants that align with a person’s health and nutrition goals. The startup’s social platform provides users with different diet options to select. Then, the platform suggests food and eating-out options that complement the user’s diet frameworks.

Moodymonth recommends Food based on Hormonal Fluctuations

Hormonal imbalance usually causes nutritional imbalance and food cravings, especially in women during the menstrual cycles. Curating food selections based on personal hormonal fluctuations optimizes the nutritional intake and general well-being of a person. Therefore, startups are developing solutions that recommend food based on hormonal changes and fluctuations.

British startup Moodymonth provides food recommendations and exercise tips to optimize women’s health and well-being. The startup’s application platform tracks hormonal fluctuations through mood and symptoms that are input by the user, as well as later analyzes the data to produce corresponding forecasts. The app then provides daily nutrition and food recommendations to streamline mood and well-being.

Swate provides Food Recommendations to Minimize Wastage

Food wastage is increasing with each passing year, with most of it ending up in landfills. Even with the advancement in refrigeration and other food preservation techniques, a large volume of food goes to waste. Efficiently planning meals based on expiration dates of groceries reduces food wastage. Therefore, startups are developing solutions to minimize food wastage through the optimization of food recommendations.

Canadian startup Swate provides food recommendations to minimize food wastage. The startup’s solution automatically uploads grocery items by scanning the grocery list and then sends notifications if the food item nears its expiry. The platform then recommends personalized recipes based on the available food items prioritized by expiry. This helps households to minimize food wastage while optimizing consumption based on personal diet goals.

Clear offers Food Recommendations through Sensor Integration

Every individual reacts differently to different food items. With an increase in the number of people with glucose-related health issues, it becomes necessary to curate food according to an individual’s sensitivities. Therefore, startups are developing sensor-based solutions to monitor and customize food recommendations according to individual’s immune responses.

Dutch startup Clear optimizes food recommendations through sensor integration. The startup’s solution observes consumer’s food habits, and the sensor monitors the influence of each meal on a person’s glucose level. Based on this data, the platform provides a food score for each meal item and then recommends a personalized diet plan curated by experts. Besides, the platform also offers an extra nutrition expert advisory to clear doubts.

GenoPalate provides Genetics-based Food Recommendations

Genetics impacts how different individuals intake nutrients from food items. The current practice of food recommendations based on individual health doesn’t usually account for genetic predispositions and genetics-based nutritional needs. To this avail, startups are developing solutions for providing food recommendations based on the genetic traits of an individual.

US-based startup GenoPalate provides food recommendations based on dietary genetic testing. The startup tests DNA and curates diets according to individual metabolism activities. The startup translates the unique DNA signature of each person into nutritional intelligence and provides food recommendations for achieving and maintaining optimal health.

Discover more FoodTech Startups

Food startups such as the examples highlighted in this report focus on personalized diet, restaurant digitalization, and digital food management. While all of these technologies play a major role in advancing the food industry, they only represent the tip of the iceberg. To explore more food technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free FoodTech Innovation Report to save your time and improve strategic decision-making.