Core Concepts
Conceptual foundations of Suggestic's platform
Features and Suggestion Types
In general terms, the output of our APIs is personalized food suggestions, which is why we are called Suggestic 😉. These suggestions can take many forms, such as recipe recommendations or specific dishes at nearby restaurants.
In addition to personalized food suggestions, we provide a set of interconnected tools, like food logging and shopping lists, that leverage the same underlying personalization technology. Together, suggestions and tools can be used to create a more holistic nutrition experience.
Here's a general list of available features and suggestion types:
Recipes
Meal Plans
Shopping Lists
Restaurants, Menus, and Menu Items
Food Logs
Program Content and Guidance
Personalization
Conceptually, the Suggestic platform defines personalization at 3 different levels of depth, as follows:
Program (or diet) - Represents the base rules used to generate food suggestions. i.e., Vegan Diet.
User Data - Refers to any type of user preferences or data stream associated specifically with an individual user. i.e., food restrictions.
Filters - These can be set to further refine food suggestions. i.e., cuisine type.
Please note that throughout the documentation we may interchangeably use the terms diet or program.
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