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. Program (or diet) - Represents the base rules used to generate food suggestions. i.e., Vegan Diet.

  2. User Data - Refers to any type of user preferences or data stream associated specifically with an individual user. i.e., food restrictions.

  3. 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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