You’ll build your first chatbot twice with Orlando Gadea, Stanley Black and Decker
Jul 20, 2022
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Orlando Gadea, Global VP Customer Experience Transformation at Stanley Black & Decker, talks about challenges of using conversational AI for pre-sales questions, developing agile culture in a traditional organization, and lessons and insights from experiences.
Successful implementation of conversational AI requires organizations to focus on value delivery and iterate rapidly to meet stakeholders' needs and expectations.
Building trust with customers involves providing seamless and personalized interactions, anticipating their needs, and delivering exceptional experiences.
Deep dives
The Importance of Conversational AI in Improving Customer Experience
Conversational AI plays a crucial role in driving customer experience improvements. By leveraging AI-powered chatbots, organizations can enhance customer support efficiency, expand their reach, and deliver seamless and accessible experiences. The ability to provide immediate assistance and access information 24/7 is a significant advantage of conversational AI, especially in pre-sales and post-sales inquiries. However, organizations need to focus on value delivery and iterate rapidly to address stakeholders' needs and expectations.
The Significance of Building Trust in Customer Relationships
Building customer trust is a vital aspect of brand loyalty and engaging interactions. The concept of trust revolves around customers choosing products based on brands they trust, not merely the physical product itself. Today, customers expect more than just a product; they seek great experiences and reliable support. Building trust requires seamless and personalized customer interactions, anticipating their needs, and delivering exceptional experiences. Conversational AI can help companies meet these expectations and establish relationships with customers.
Challenges in Scaling Conversational AI for Pre-sales Queries
Addressing pre-sales queries with conversational AI presents unique challenges due to the diverse range of questions and variations in language. Unlike post-sales inquiries that often follow a structured flow, pre-sales questions can be open-ended and require more in-depth understanding of customer intent. Designing language models and conversation flows that can accurately interpret and respond to a wide array of pre-sales queries is vital. Integrating conversational AI with systems and information sources can enhance efficiency and provide reliable answers to customer queries.
The Need for Continuous Iteration and Agile Approaches
To ensure the success of conversational AI projects, organizations must adopt a culture of continuous iteration and agility. Waiting for perfection is a pitfall that hinders value delivery and delays improvement opportunities. Instead, projects should aim for '80% completion' within shorter iterations, focusing on delivering value and measurable outcomes. By constantly iterating and improving, organizations can leverage conversational AI to provide efficient and effective customer support, resulting in enhanced customer experiences.
Orlando Gadea is the Global VP Customer Experience Transformation at Stanley Black & Decker, Inc, with over 6 years experience in managing conversational chatbots. Orlando joins us to share why you’ll probably build your first chatbot twice.