Shannon Flanagan

Uncover how automation can optimize the customer journey, allowing brands to respond in real-time to changing customer needs. Chessia McBride from MillerKnoll will discuss practical approaches for using technology to enhance personalization and drive deeper customer engagement. 

• Implementing AI-driven customer journey mapping to analyze and predict customer behavior in real-time. 
• Deploying automated response systems that adapt based on customer interactions and feedback. 
• Utilizing data analytics to identify and prioritize personalized customer touchpoints. 
• Continuously optimizing customer journey pathways through iterative testing and feedback loops. 

• Conducting regular audits to identify barriers to innovation within existing processes. 
• Implementing agile methodologies to foster flexibility and responsiveness to market changes. 
• Empowering cross-functional teams to collaborate and innovate in a structured environment. 
• Utilizing data-driven insights from audits to prioritize and execute innovative initiatives effectively.

• Employ AI analytics to track and attribute conversions across various marketing channels and customer touchpoints 
• Utilize machine learning algorithms to optimize pricing strategies and maximize profit margins based on real-time market data 
• Implement AI-powered predictive modeling to forecast customer lifetime value and prioritize high-return segments for targeted campaigns 
• Integrate AI-driven automation to streamline operational efficiencies and reduce costs while enhancing ROI in eCommerce initiatives