A Review of Omni-channel Strategies in E-commerce: Integrating Online and Offline Customer Journeys
Renjbar Sh. Othman, Subhi R. M. Zeebaree
Asian Journal of Economics, Business and Accounting · pp. 49–66 · Published 27 Feb 2025
10.9734/ajeba/2025/v25i31694Abstract
This study explores the evolution and implementation of omnichannel strategies in e-commerce, emphasizing the seamless integration of online and offline channels to enhance customer experience and operational efficiency. Omnichannel strategies in e-commerce integrate online and offline channels to create seamless, personalized customer experiences. This approach addresses evolving consumer behavior, characterized by a preference for convenience, flexibility, and cross-platform shopping. By merging platforms like physical stores, mobile apps, and social media, omnichannel retail enhances operational efficiency, customer loyalty, and revenue generation. The integration, however, poses challenges, including data synchronization, legacy system compatibility, and channel conflicts. Emerging technologies such as artificial intelligence, IoT, and big data play a pivotal role in overcoming these challenges by enabling real-time synchronization, predictive analytics, and personalized marketing. Practical implementations include click-and-collect systems, dynamic pricing, and tailored in-store experiences, while theoretical foundations like the cognitive-affective-conative paradigm support strategies that improve consumer satisfaction. Despite significant advancements, high implementation costs and technological complexities remain barriers, emphasizing the need for cost-effective innovations. Future research should focus on augmented reality, blockchain applications, and cross-cultural studies to broaden the scope and applicability of omnichannel strategies. By addressing these challenges and leveraging advanced technologies, businesses can adapt to dynamic market demands, fostering sustainable growth and enhanced customer experiences.
Cited by 2
Tamour Raza · Advances in Computational Intelligence and Robotics · 2025
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