Artificial intelligence based configure price quote recommendation system

Abstract

Techniques for suggesting a candidate layout based on historical characteristics are disclosed. A system trains a machine learning model to suggest layouts for three-dimensional spaces. The system obtains sets of historical characteristic data, including spatial characteristics of a particular three-dimensional space and layout characteristics including information indicating items present in the particular three-dimensional space and positioning information indicating a position of each item within the particular three-dimensional space. The system trains the machine learning model based on the sets of historical characteristic data. The system receives a first request for a layout suggestion from a first user, including at least a first set of spatial characteristics for a first three-dimensional space. The system applies the machine learning model to the first set of spatial characteristics to identify a first candidate layout as a suggestion and, based on the applying operation: recommends the first candidate layout as a layout suggestion.