The Human-Centered AI-DATA Model for Onsite Customer Journeys in E-Commerce

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

Abstract

Trustworthiness in the design of AI software is crucial for acceptance and performance, particularly in complex socio-technical systems. The AI-DATA model, introduced by the funded 506 GEMINI project, addresses this need through a human-centered approach to Onsite Customer Journey Optimization in a case study of an online shop for nutritional supplements. This model combines systems thinking, process mining, and Large Language Models (LLMs) to enhance the Customer Journey in E-Commerce. By evaluating various prompt techniques, AI-generated marketing claims for onsite activation are tailored to a specific audience within specific phases of the AI-DATA model and utilized as triggers for interventions. This integrated methodology ensures optimization of the Onsite Customer Journey by providing relevant and trustworthy content at the right Moments of Truth in order to increase conversion rates, such as purchases, thereby fostering sustainably revenue growth.
Original languageEnglish
Title of host publicationComputer Aided Systems Theory – EUROCAST 2024 - 19th International Conference, 2024, Revised Selected Papers
EditorsAlexis Quesada-Arencibia, Michael Affenzeller, Roberto Moreno-Díaz
Pages311-325
Number of pages15
Volume15173
DOIs
Publication statusPublished - 25 Apr 2025

Publication series

NameLecture Notes in Computer Science
Volume15173 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Behavioral Marketing
  • Human-Centered Design
  • Marketing Data Science
  • Process Mining
  • Systems Thinking
  • Trustworthy AI

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