According to a recent LinkedIn post from Hi Auto, the company is testing a new analytics offering called Window Intelligence in a closed beta with a small group of quick-service restaurant operators. The post indicates the tool aims to extend measurement beyond the order speaker to the pickup window, an area the company suggests has historically lacked granular tracking.
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The company’s LinkedIn post highlights that Window Intelligence combines existing order data with audio captured at the pickup window to create a continuous view of the guest journey. The post suggests this approach could surface operational signals such as greetings, tone, escalations, protocol adherence, and point-of-sale voids that lack corresponding conversations.
As shared in the post, Hi Auto appears to position Window Intelligence as an early step toward making the entire drive-thru experience measurable, particularly in an environment where drive-thrus can account for up to 70% of QSR revenue. For investors, this may signal an effort to deepen the company’s value proposition with existing customers by moving from point solutions in order-taking toward broader workflow and performance analytics.
If successfully commercialized beyond the current beta, such capabilities could support higher average contract values and stickier customer relationships, as drive-thru operators seek data-driven tools to optimize revenue-critical touchpoints. At the same time, the initiative may place Hi Auto in more direct competition with customer experience analytics and drive-thru technology vendors, potentially influencing its future pricing power and partnership strategy.