Korean startup ImagineFactory is developing artificial intelligence capable of automating cosmetic prescriptions, Chosunbiz reports, moving one of the beauty industry's most consultation-heavy tasks — the matching of products to individual skin conditions — into software.

The development lands in South Korea, one of the world's most dynamic beauty markets and a country where customized cosmetic recommendations have long been delivered through in-store consultation, dermal analysis devices and aesthetic clinic channels. If the AI system performs as intended, the prescription step that currently depends on trained staff could become a scalable, automated function.

What does an automated prescription system change?

For formulators and brand owners, an AI prescription engine shifts the point of product-matching from the counter to the algorithm. Rather than relying on a consultant's judgement, the system would analyze customer data and generate product recommendations — potentially at scale, across thousands of users simultaneously, and with every recommendation logged.

For professional channels — clinics, spas, aesthetic practices — the technology raises a direct question about service menus. If a machine can produce a cosmetic prescription, the value of the human consultation has to come from somewhere else: diagnosis depth, treatment delivery, or oversight of the AI's output.

For procurement and retail teams, automated prescription capability is a lever on conversion. Personalized recommendation engines have become standard in e-commerce; extending that logic into formalized cosmetic prescriptions tightens the link between skin analysis and SKU selection, which affects assortment planning and inventory allocation.

What should buyers and compliance teams watch?

The regulatory angle matters as much as the technical one. Any system that moves from generic recommendation toward something resembling a prescription — a term with medical connotations in many jurisdictions — invites scrutiny. How ImagineFactory frames the output, and how Korean regulators treat AI-generated cosmetic advice under existing frameworks, will determine whether the model can be deployed commercially or stays confined to advisory functions.

Interoperability is the second checkpoint. A prescription engine is only as useful as the data feeding it: skin diagnostics, customer questionnaires, purchase history. Which devices and platforms ImagineFactory integrates with will signal how quickly the system can reach real counters and apps.

The project is at the development stage now. The next concrete data points to watch are a commercial pilot, a named brand or retail partner in Korea, and any filing or classification decision from Korean authorities on AI-driven cosmetic advice. Until one of those appears, the story is a credible signal of direction — automation moving upstream from marketing into the prescription itself — rather than a shipped product.

Watch for ImagineFactory's first deployment announcement and the regulatory language attached to it; both will define how fast automated prescriptions spread through Korea's beauty channel.