What if the billboard you encounter on the street displayed different advertisements depending on who you are? P2ACH AI has developed a technology that analyzes gaze direction, dwell time, gender, and age of passersby in real time using AI, and selectively displays the advertisement predicted to generate the highest performance. For instance, if women in their 20s and 30s predominantly pass by, a women’s apparel advertisement is automatically shown. This innovation enables precise targeted advertising in offline retail environments.

In an interview, CEO Dong-yul Lee stated, “We are collaborating with major retailers by providing an offline retail media solution capable of precise performance analysis and targeting. We are helping shift offline advertising from intuition-based decisions to data-driven, performance-oriented media.”

The system installs cameras and edge AI boxes in retail stores to collect visibility probability, behavioral data, and ad-specific response metrics. These data points are analyzed in real time via a web-based dashboard, enabling media operators and advertisers to optimize strategies accordingly. The core technology lies in accurately measuring advertising effectiveness through detailed gaze tracking and dwell-time analysis.

A key differentiator is its advanced gaze-recognition algorithm derived from autonomous driving technologies. CEO Lee previously built nearly a decade of engineering experience at Hyundai Mobis and KakaoBank.

The solution operates under a HaaS (Hardware-as-a-Service) plus SaaS (Software-as-a-Service) model. Devices mounted in front of displays detect presence, dwell time, and gaze position in real time. The system generates quantitative metrics such as reach rate, conversion probability, and age-based viewing duration. It can even filter out internal staff exposure, such as recognizing employee uniforms, to remove distorted data. Lee noted, “In some cases, revenue increased by more than 400% compared to advertising spend after implementation.”

Beyond performance measurement, P2ACH AI aims to drive retail space digital transformation through Spatial Computing. Rather than merely detecting people, the system interprets spatial flow and enables interactive content experiences. “We plan to expand into interactive characters that respond to gaze or even engage in gestures like high-fives,” Lee explained.

Leveraging its technological edge, P2ACH AI is accelerating expansion into Asian markets, including Japan. The company is preparing collaboration with retail stores affiliated with railway operators in the Shizuoka region. “Japan is highly sensitive to both content quality and measurable performance data,” Lee said. “Our goal is to generate over 50% of total revenue from overseas markets this year.”

To date, P2ACH AI has secured approximately KRW 3.6 billion in funding from investors including Bluepoint Partners, with projected annual revenue of KRW 3 billion. Lee emphasized, “Our long-term goal is to globalize in-store retail media solutions. Offline spaces will evolve to be measured, targeted, and optimized just like online environments.”