Technical Docs

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


Conceptually, the Suggestic platform defines personalization at 3 different levels of depth, as follows:
  1. 1.
    Program (or diet) - Represents the base rules used to generate food suggestions. i.e., Vegan Diet.
  2. 2.
    User Data - Refers to any type of user preferences or data stream associated specifically with an individual user. i.e., food restrictions.
  3. 3.
    Filters - These can be set to further refine food suggestions. i.e., cuisine type.
Generating a food suggestion involves all 3 levels of personalization
Please note that throughout the documentation we may interchangeably use the terms diet or program.