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:

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.

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.