The retail industry is being fundamentally reshaped by digital transformation, Rhoda, a Technical Product Manager with expertise spanning business systems and technology management, is pioneering critical research that addresses one of the most pressing challenges in modern commerce. Her comprehensive study, “AI-Driven Predictive Analytics in Retail: A Review of Emerging Trends and Customer Engagement Strategies,” examines how artificial intelligence and predictive analytics are revolutionizing the retail sector, providing retailers with powerful tools to forecast consumer behavior, optimize operations, and create personalized customer experiences that drive loyalty and revenue growth in an increasingly competitive digital marketplace.
Rhoda’s academic credentials uniquely position her to bridge the gap between business strategy and technological innovation in retail contexts. With a bachelor’s degree in business information systems from the University of Cape Coast, Ghana, she developed foundational expertise in how information systems drive business value. This was further enhanced by her master’s degree in information technology and management from the prestigious University of Texas at Dallas, where she gained advanced knowledge in managing complex technology initiatives. Her certification in Corporate Innovation from the University of Texas at Dallas demonstrates her commitment to driving transformative change, equipping her with frameworks to implement cutting-edge AI solutions in traditional retail environments facing digital disruption.
Rhoda’s research addresses critical economic challenges that are costing retailers over $112 billion annually in inventory losses alone, with projections reaching $132 billion globally: demand forecasting inaccuracies that lead to stockouts or excess inventory, inefficient supply chain operations, rising customer acquisition costs, and the inability to deliver personalized experiences at scale. By comprehensively reviewing emerging technologies such as machine learning algorithms, natural language processing, and computer vision, her work provides actionable frameworks for retailers to harness data for strategic decision-making. The research explores how these advanced technologies enable everything from personalized shopping experiences and targeted marketing campaigns to dynamic pricing strategies and inventory optimization solutions that directly impact profitability, operational efficiency, and customer satisfaction in both brick-and-mortar and e-commerce environments. While giants like Amazon have demonstrated the transformative power of these technologies, Rhoda firmly believes that small and medium-sized enterprises (SMEs) can equally benefit from AI-driven predictive analytics, provided they understand the synergistic role of these technologies in forecasting consumer behavior and demand patterns at scales appropriate to their operations.
The scholarly impact of Rhoda’s research has been remarkable, with her work accumulating 95 citations from academics and industry professionals worldwide and incorporating references to over 70 authoritative sources. This substantial citation count reflects the research community’s recognition of both the practical value and theoretical rigor of her comprehensive review. Among the notable publications that have cited Rhoda’s work is research focused on “Utilizing Big Data
Analysis to Drive Digital Commerce: Insights from Amazon’s Model,” demonstrating how her findings are influencing studies on how leading e-commerce giants leverage data analytics for competitive advantage. The breadth of her reference base ensures that her conclusions are grounded in diverse perspectives from across the global retail and technology research landscape.
Rhoda’s research has achieved significant international readership, reaching industry professionals, researchers, and policymakers across six continents. Her work has been accessed by readers in the United States, Germany, India, China, Turkey, the United Arab Emirates, and throughout Asia, reflecting the universal nature of retail transformation challenges in both developed and emerging markets. This worldwide reach is particularly significant as it demonstrates that retailers across diverse regulatory environments, consumer cultures, and technological infrastructures are all grappling with similar challenges in implementing AI-driven predictive analytics. The research’s resonance in rapidly growing markets like the UAE and Asia underscores its relevance to retailers navigating digital-first consumer behaviors and intense e- commerce competition.
A critical distinction of Rhoda’s research is its comprehensive treatment of responsible AI implementation—addressing concerns that often impede technology adoption in retail settings. Her work thoroughly examines data quality requirements, privacy concerns, algorithmic bias, and the imperative for transparent AI models to ensure ethical and fair use of customer data. By emphasizing these considerations alongside technological capabilities, Rhoda provides retailers with a holistic framework that balances innovation with responsibility—particularly crucial as global regulations like GDPR, CCPA, and emerging AI governance frameworks increase compliance requirements. Her research also highlights real-world case studies of successful AI implementations in leading retail enterprises, showcasing measurable outcomes such as improved operational efficiency, increased sales conversion rates, enhanced customer retention, and optimized inventory turnover.
Through her systematic exploration of customer engagement strategies enabled by AI-driven predictive analytics, Rhoda demonstrates how retailers can transform raw data into competitive advantage while maintaining consumer trust. Her research serves as an essential resource for navigating the evolving landscape of AI in retail, offering insights that bridge theoretical possibilities with practical business realities. As retail continues its digital evolution and consumer expectations for personalized, seamless experiences intensify, Rhoda’s work provides the comprehensive roadmap that industry leaders, technology vendors, and policymakers need to successfully implement AI solutions that drive measurable business outcomes. By examining both the technological frontier and the ethical guardrails necessary for sustainable implementation, her research positions retailers to thrive in an AI-augmented future while respecting the privacy and autonomy of the consumers they serve.
