Advancements in artificial intelligence for omnichannel marketing and customer service: Enhancing predictive analytics, automation, and operational efficiency

Uchechukwu Christopher Anozie 1, *, Obinna Barnabas Onyenahazi 2, Prince Chukwuemeka Ekeocha 3, Adeleke Damilola Adekola 4, Chifum Ann Ukadike 5 and Omodunni Adejoke Oloko 6

1 College of Business, MBA, Auburn University Alabama, USA.
2 Darla Moore School of Business, International MBA, University of South Carolina, USA.
3 Business Management & Administration, Robert H. Smith School of Business, University of Maryland, College Park, USA.
4 Marketing & Business Analytics, Business Administration, Whitman School of Management, Syracuse University. USA.
5 Haas School of Business, MBA, University of California, Berkeley, USA.
6 Carey Business School, MBA-MPH Johns Hopkins University, USA.
 
Review
International Journal of Science and Research Archive, 2024, 12(02), 1621–1629.
Article DOI: 10.30574/ijsra.2024.12.2.1436
Publication history: 
Received on 26 June 2024; revised on 02 August 2024; accepted on 05 August 2024
 
Abstract: 
Gone are the days of impersonal customer service and generic marketing. Artificial intelligence (AI) is changing how businesses interact with customers, making interactions personalized and smooth across every platform. This transformation is powered by AI's capability to predict what customers want, automate routine tasks, and analyze large volumes of data. The Predictive Power of AI examines customer data to predict their preferences. Imagine receiving targeted ads and product recommendations that seem tailored exactly to your preferences! This personalized marketing approach enhances engagement and boosts sales significantly. AI-powered 24/7 chatbots provide instant customer support, eliminating the need for waiting on hold. They handle common inquiries and offer real-time assistance, continuously improving their ability to understand natural language and provide increasingly accurate help with each interaction. AI provides efficiency boost by automating repetitive tasks, allowing human teams to dedicate more time to cultivating relationships with customers, this includes qualifying leads, building targeted email campaigns, and analyzing data to inform business decisions, the outcome? More efficient operations and a happier team. It is imperative for businesses to understand customer sentiments and integration of AI analyzes customer interactions across various channels to assess their emotions and attitudes. This process, known as "sentiment analysis," enables businesses to detect dissatisfaction early, manage online brand perception, and gather valuable insights to enhance products and refine marketing strategies. There are also concerns about Ethical considerations, as AI becomes more integrated, businesses must prioritize customer privacy, eliminate bias in algorithms, and maintain a human touch to build genuine relationships. The future of AI and its possibilities are limitless! Natural Language Processing (NLP) advancements will lead to chatbots that sound and act human, while the integration of AI with virtual reality (VR) and augmented reality (AR) could create immersive and personalized experiences. In summary, AI is not here to replace humans; it is here to collaborate as your customer experience partner.
 
Keywords: 
Automation; Sentiment analysis; Artificial Intelligence; Customer experience; Predictive
 
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