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From Market Research to Product Design : = The Process of Building the WebGuru AI Optimization Tool.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	From Market Research to Product Design :/
Reminder of title:	The Process of Building the WebGuru AI Optimization Tool.
Author:	Bi, Zhen.
Description:	1 online resource (21 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-11.
Contained By:	Masters Abstracts International85-11.
Subject:	Design. -
Online resource:	click for full text (PQDT)
ISBN:	9798382724089

From Market Research to Product Design : = The Process of Building the WebGuru AI Optimization Tool.
Bi, Zhen.

From Market Research to Product Design :The Process of Building the WebGuru AI Optimization Tool. - 1 online resource (21 pages)

Source: Masters Abstracts International, Volume: 85-11.

Thesis (M.F.A.)--Rochester Institute of Technology, 2024.

Includes bibliographical references

The COVID-19 virus has brought a significant transformation in e-commerce, with a lot of businesses not only selling products in physical stores but also conducting transactions online. However, the cost and expertise required for personalized website design and programming are prohibitive for a lot of small business owners. This has prompted many small business owners to adopt generic templates, failing to characterize their products and get the style they really want. In 2023, rapid advances in artificial intelligence technologies have resulted in a range of tools capable of generating text and images, catalyzing a transformation in online content creation. In response to this gap, WebGuru was created as an innovative AI platform designed to provide small business owners with powerful website optimization capabilities. This paper introduces WebGuru, an innovative e-commerce website optimization tool designed for users without a technical or design background. By using artificial intelligence, WebGuru enables image optimization, the integration of text with images, and the generation of personalized website styles through simple text commands. This study delves into the key AI-driven design elements of WebGuru, including image processing algorithms, natural language processing modules, and style generation networks. It explores how these AI techniques can improve usability, attractiveness, personalization, customization, and efficiency for users.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382724089Subjects--Topical Terms:

595500
Design.
Subjects--Index Terms:

Business ownersIndex Terms--Genre/Form:

554714
Electronic books.

From Market Research to Product Design : = The Process of Building the WebGuru AI Optimization Tool.
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