Accenture Global Solutions Limited

Michael Nai-An Chen

Teresa Sheausan Tung

Colin Anil Puri

Michael Kuniavsky

Reymonrod Geli Vasquez

Sonali Parthasarathy

Nicholas Akiona

Steven Robert Roberts

Unnati Amin

Nitin Bajaj

Analiz Cabrera Hernandez

Trinidy Ray Combs

Elizabeth Ann Shay

This document describes a generative design platform that uses style to generate product designs. In one aspect, a method includes receiving, from a client computing device of a user, data identifying a set of design parameters including a product template for a product and one or more style grammars for the product. Each style grammar includes a set of stylistic parameters that define aesthetic characteristics of a group of related products. One or more physical constraints on a design of the product are obtained. A set of candidate product designs for the product are generated based on the product template, each style grammar, and the one or more physical constraints. A set of scores are generated for each candidate product design based on an evaluation of the candidate product designs. A subset of the candidate product designs are selected based on the scores.

Generative design using style grammars

A method and system for intelligently generating Bill of Materials (BoM) and tracking components of a build site. The method and system include querying a knowledge graph for a collection of historical bill of materials (BoMs), automatically generating a digital twin of a built site based on a selected group of completed build site, and intelligently generating the BoM for the digital twin based on BoMs of the selected group of completed built site.

Intelligent bill of materials advisor

Growing community of inventors

San Francisco, CA, United States of America

Michael Nai-An Chen