World Journal of Advanced Research and Reviews · 2024 · 42 citations · 0 references
BusinessMarketingMarketing ManagementArtificial IntelligenceMachine LearningPredictive AnalyticsArtificial Intelligence AdoptionCustomer EngagementCustomer Experience ManagementMarketing AutomationPersonalizationPersonalized MarketingAi-driven InnovationCustomer ExperiencePersonalized Content RecommendationPersonalized Customer ExperiencePersonalized SellingPredictive Marketing AnalyticsRecommendation Systems For MarketingSales Performance Prediction
The review examines how AI software can automate personalized marketing to improve customer experience and sales in SMEs. It analyzes machine learning, natural language processing, and predictive analytics, showing how they enable tailored content and recommendations, and presents case examples and emerging trends for AI-driven marketing. The study reports significant sales performance and ROI gains for SMEs using AI, and urges continued innovation and ethical vigilance.
This review paper explores the role of AI software in personalized marketing automation and its impact on customer experience and sales in Small and Medium-sized Enterprises (SMEs). By examining key AI technologies such as machine learning, natural language processing, and predictive analytics, the paper highlights how these tools enable businesses to deliver personalized content and recommendations, enhancing customer engagement and retention. The study also discusses the significant improvements in sales performance and return on investment (ROI) that SMEs can achieve through AI-driven marketing strategies. It includes case examples of successful implementations and outlines emerging trends and future opportunities for leveraging AI. The paper concludes with implications for SMEs and recommendations for future research, emphasizing the need for ongoing innovation and ethical considerations in AI adoption.