What needed to change
Dealers needed to act on financial and operational information distributed across complex systems, while the engineering team needed a front-end foundation that could support a growing product surface.
CAREER WORK / Fintech · Enterprise analytics
An AI-assisted dealer experience that turns complex financial and operational data into clear workflows, timely signals, and actionable decisions.
ILLUSTRATIVE PRODUCT CONCEPTTHE STORY
Dealers needed to act on financial and operational information distributed across complex systems, while the engineering team needed a front-end foundation that could support a growing product surface.
Organize the experience around dealer decisions instead of source systems, establish GraphQL as the product-facing data contract, and build reusable Next.js patterns for dashboards and AI-assisted workflows.
A more coherent dealer workspace and a stronger delivery foundation for expanding data-heavy product capabilities across the team.
SYSTEM VIEW
A simple view of the components and decisions that shaped the product.
Financial and operational systems
Unified product-facing contracts
Reusable dealer workflows and dashboards
AI-assisted context and action
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