London Design Silver

2025

Conversation Intelligence to Sales Success

Entrant Company

Zicheng Gu

Category

User Experience Design (UX) - Best Use of AI & Machine Learning

Client's Name

Proponent

Country / Region

United States

Imagine closing a deal worth $100,000 – only to discover your sales team pitched features that don't solve the customer's real problem. Sound familiar? This disconnect is costing B2B companies millions in lost deals, churned customers, and missed revenue opportunities.

In today's complex B2B landscape, sales organizations face unprecedented challenges. Buying committees have expanded, product portfolios have grown more sophisticated, and virtual selling has become the norm. Yet crucial customer insights from sales conversations remain fragmented, un-analyzed, and inaccessible across organization silos.

Proponent transforms this landscape through a closed-loop intelligence system that captures, analyzes, and operationalizes customer conversations. Our platform creates an institutional memory that preserves valuable context and delivers actionable intelligence to multiple stakeholders:

For sales teams, Proponent provides hyper-personalized playbooks that recommend the most relevant features, questions, and content based on prospect characteristics. When customers ask questions, our AI delivers immediate, verified responses pulled from the organization's knowledge base.

For marketing teams, Proponent helps to curate a clear, intuitive knowledge hub where the information that powering AI recommendations are always validated, ensuring accuracy and on-brand messaging.

For product teams, Proponent helps prioritize development and shape the roadmap by analyzing cross-persona insights to reveal which features truly matter to customers.

By creating an institutional memory that is easily accessible and actionable, Proponent fosters unprecedented alignment. It ensures customer needs are understood and consistently addressed, enabling organizations to become truly customer-centric at scale.

Credits

Zicheng Gu
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