Turning Checkout Data Into Revenue

Merchants often rely on fragmented analytics, A/B testing tools, and intuition to improve checkout performance, making it difficult to identify which changes will have the greatest impact on revenue. The challenge was to transform complex optimization data into a guided experience that clearly prioritizes opportunities and enables merchants to implement improvements with confidence.

I designed an AI-assisted checkout optimization workspace that combines strategic recommendations with a live checkout preview. The experience introduces a health score, estimated revenue impact, prioritized recommendations, and one-click implementation workflows, allowing users to understand why each optimization matters before applying it. Every recommendation updates the checkout preview in real time, creating a direct connection between strategy and execution.

The redesign transformed checkout optimization into a guided, action-oriented workflow instead of a manual analysis process. By surfacing the highest-impact opportunities, visualizing potential revenue gains, and reducing the effort required to implement improvements, the platform helps merchants optimize their checkout experience faster while making complex CRO decisions easier to understand.