Skip to content
Research

50 Korean Firms Turn to Synthetic AI Shoppers to Test Products

By Minjun ParkKorea
2 min read
50 Korean Firms Turn to Synthetic AI Shoppers to Test Products
In this article (8)

South Korean retail conglomerates and consumer brands are deploying artificial intelligence-generated synthetic shoppers to test products, adjust shelf pricing and model physical store layouts before committing capital to production runs.

The shift replaces costly consumer survey panels with large language models trained on purchasing records, customer reviews and social media chatter. Technology vendor Intellicia has completed 120 proof-of-concept projects across 50 consumer companies, reporting a 91.2 percent correlation against a benchmark survey of 500 human shoppers.

Lotte Builds Virtual Consumer Twins

Lotte Members started work in July with domestic artificial intelligence specialists Vibe Co. And Zero to One Partners to build what it calls the AI Twin Consumer. The model draws on the transactional histories of 45 million registered members of Lotte’s L.Point loyalty program, combining that spend data with contextual online commentary to examine why consumers buy rather than merely tracking what they buy.

Instead of relying on broad demographics such as gender or age brackets, the system creates detailed behavioural profiles. Merchandisers can query the virtual consumer directly, testing reactions to new packaging or price points before inventory reaches warehouse shelves.

From Web Checkout to Store Aisles

Domestic e-commerce operators Coupang and Naver are applying synthetic buyers to website journeys. Their models simulate browsing sessions to pinpoint where online shoppers encounter friction, hesitate over specifications or abandon digital baskets.

Convenience store operator BGF Retail is pushing the simulation into the physical realm. The CU chain operator first used synthetic shoppers to vet new product concepts. It is now building virtual store environments to test foot traffic flows, shelf placement and assortment mixes before franchise owners reconfigure their physical floors.

Food Groups Test Faster Turnarounds

Packaged food manufacturers face short product life cycles in South Korea, where convenience trends shift across a matter of weeks. CJ Group, Daesang, Maeil Dairies, Pulmuone and Sangmidang Holdings have all run trial programs with Intellicia to evaluate food concepts through synthetic personas.

For consumer goods operators across Asia, synthetic panels eliminate the weeks needed to recruit human focus groups and process qualitative interviews. The commercial risk shifts from expensive production missteps to data accuracy: if the underlying transaction logs or sentiment data fail to reflect shifts in disposable income, simulated demand will mislead procurement teams.

BGF Retail’s testing across its store network and Lotte’s deployment of its 45 million-shopper dataset will demonstrate whether virtual panel decisions translate into higher sales per square metre when new SKUs hit convenience store shelves over the coming quarters.

Questions & Answers

Q.

How accurate are synthetic shoppers compared with traditional human panels?

A.

Technology vendor Intellicia recorded a 91.2 per cent correlation against a benchmark survey of 500 human shoppers across 120 pilot projects. This allows consumer brands to test pricing and product concepts without spending weeks recruiting panels and conducting qualitative interviews.

Q.

What data powers Lotte's virtual consumer profiles?

A.

Lotte combines transactional records from 45 million registered members of its L.Point loyalty scheme with contextual online commentary. Rather than relying on broad demographic brackets, the model builds behavioural profiles so merchandisers can gauge reactions to new packaging or price points directly.

Q.

How is simulation technology being applied to physical retail spaces?

A.

Convenience store operator BGF Retail creates virtual store environments to simulate customer foot traffic, shelf placement and product assortments. This enables the company to evaluate layout adjustments and new product concepts before franchise owners reconfigure their physical shop floors.

Q.

What is the primary commercial risk of relying on synthetic consumer panels?

A.

The main risk centres on data accuracy. If underlying purchasing records or social sentiment fail to reflect broader shifts in disposable income, the simulated demand will produce flawed insights that mislead retail procurement teams before committing capital to production.

Reader pulse

Will synthetic shoppers replace human consumer panels?

16,194 votes so far

Weekly Briefing

Asia's retail intelligence, in your inbox

Monday, Wednesday and a Friday Weekly Wrap: the retail stories, numbers and moves that mattered across Asia. Nothing else, and you can unsubscribe in one click.

  • Top industry moves and market shifts
  • Weekly data-driven analysis from across Asia
  • Monday, Wednesday and the Friday Weekly Wrap

Read by retail operators, investors and brand teams across Asia.

Protected by a quick human check. No spam, ever. Unsubscribe in one click.

SecureGDPR ready