Jonathan Martinez
DriveLine AI was conceived to tackle a specific problem faced by automobile dealerships: the difficulty of measuring physical foot traffic effectively. The goal was to create a solution that provided dealerships with precise and actionable data on customer visits, enabling them to optimize their advertising strategies. This case study explores the iterative design process that transformed DriveLine AI from a basic idea into a fully realized product, ultimately resulting in a successful MVP launch and significant venture capital funding.
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