Integrating Artificial Intelligence into Product Roadmapping: A Study of Predictive Analytics Adoption Among U.S. E-Commerce Firms

@article{1710172,
      author = {Omon ENI, Arun K Menon},
      title = {Integrating Artificial Intelligence into Product Roadmapping: A Study of Predictive Analytics Adoption Among U.S. E-Commerce Firms},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {3},
      pages = {312-321},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1710172.pdf},
      abstract = {This study examines the integration of artificial intelligence (AI) and predictive analytics into product roadmapping processes among medium-to-large U.S. e-commerce companies. Through a mixed-methods approach involving surveys of 284 companies and in-depth interviews with 47 executives, this research investigates how AI adoption in product planning affects return on investment (ROI) and customer retention metrics. The findings reveal that companies implementing AI-driven predictive analytics in their product roadmapping processes achieved an average ROI improvement of 23.4% and customer retention increases of 18.7% over traditional methods. However, adoption barriers including data quality concerns, organizational resistance, and technical infrastructure limitations persist across the sector. This research contributes to the growing body of knowledge on AI implementation in strategic business processes and provides actionable insights for e-commerce executives considering AI integration.},
      keywords = {Artificial Intelligence, Product Roadmapping, E-commerce, Predictive Analytics, Customer Retention, ROI},
      month = {September},
  }