According to a recent LinkedIn post from Hi Auto, the company is extending its drive-thru artificial intelligence capabilities from order-taking to the pickup window through a feature called Window Intelligence. The post highlights that Hi Auto’s AI reportedly achieves more than 93% order completion and 96% accuracy across roughly 1,000 quick-service restaurant locations, and now aims to analyze interactions where most revenue is actually transacted.
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The post suggests that Window Intelligence uses contextual data from the order to evaluate friendliness, detect potential fraud in real time, analyze window service times, and measure order accuracy before customers leave. For investors, this indicates an expansion of Hi Auto’s value proposition from a single touchpoint to end-to-end drive-thru oversight, which could deepen customer relationships, support upselling of analytics capabilities, and potentially increase recurring revenue in the QSR technology segment.
By focusing on the pickup window, where the post notes that up to 70% of QSR revenue may pass through daily, Hi Auto appears to be targeting a high-impact operational node that has historically lacked visibility. If adopted at scale, this type of window-level analytics could strengthen the company’s competitive positioning against other drive-thru and restaurant analytics providers, while offering QSR operators tools to address labor efficiency, shrink, and guest satisfaction in a more data-driven way.