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【South Korea】Amorepacific renews contract with MayAI for 4th year, adds conversational AI for offline beauty store analytics

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Editor's note

This renewal, announced by MayAI, underscores a growing buyer appetite for conversational AI in offline retail analytics. The key regulatory question is how customer video data is processed and stored under privacy laws. Supply-chain risk remains low, as the solution leverages existing CCTV infrastructure, reducing hardware dependency.

Amorepacific has renewed its contract with video AI startup MayAI for the fourth consecutive year, deploying conversational AI to analyze visitor behavior across its flagship beauty spaces. The move signals growing demand among beauty retailers for data-driven store optimization tools that go beyond traditional footfall tracking.

Contract renewal and scope

MayAI announced the renewal of its contract with Amorepacific for the 'mAsh' offline visitor analytics solution, covering three beauty flagship stores: Amore Seongsu, Amore Yongsan, and Amore Busan. First introduced in 2023, the solution has now been in continuous use for four years.

Technology overview

mAsh is a video-processing AI solution that uses existing CCTV cameras to analyze visitor movement, dwell time, gender, and age group. Based on MayAI's proprietary deep-learning algorithms, it provides store-specific KPIs and data-driven insights to help optimize retail operations.

New conversational AI feature

With this renewal, Amorepacific introduces 'mAsh Insight', a conversational AI function that allows store managers to ask natural-language questions about accumulated visitor data and receive analytical answers. A future update will add automated report generation.

What buyers should watch

Beauty retailers and clinic operators seeking to enhance offline customer experience should monitor how conversational AI analytics can reduce the need for manual data interpretation. The integration of natural-language querying into existing CCTV infrastructure offers a scalable path to actionable store insights without heavy hardware investment.

Source: Read the original report | Published: June 12, 2026