Incheon National University GTEP specialists Kim Hyun-a and Jeong Han-young reviewing data screens together against a city skyline
AI Trade First Career · Case 01

Beauty Days Poland —
bring the beauty distributors to the booth

Ahead of LALA PINK’s Polish exhibition, Kim Hyun-a of Incheon National University’s GTEP programme started from zero Polish buyers and took on everything from market selection to real outreach and follow-up — her first career in AI trade global sales.

Interview · AI trade first career
Kim Hyun-a · INU GTEPSep 13, 2026LALA PINK Poland Beauty Days project

How is the work after the AI trade specialist course different from earlier GTEP activities?

If earlier GTEP activities were ‘field experience’ in trade practice, this project was ‘strategy execution’ that closes business.

GTEP activitiesBuilding the basics

Show preparation, running the booth and receiving buyers — passive on-site support inside a ‘given inbound setting’.

AI trade specialist workStrategy and execution

Beyond swapping business cards: market analysis ➔ entry strategy ➔ target buyer matching ➔ a tailored pitch — designing and running the entire outbound sales cycle first-hand.

The biggest difference is that I led the data-driven targeting and the after-show sales strategy myself, to close the gap between collecting a card and actually landing the meeting.

The exhibition booth alongside the four-step follow-up plan that moves a buyer met at the show toward a video meeting or a booking at the Korean academy
Booth support widened into a data-led global sales role. What used to end at the booth now continues as a plan that fixes the next step for each type of buyer.

See Kim Hyun-a’s work in one video!

Kim Hyun-a on what the twelve weeks actually involved, up to inviting distributors onto the exhibition floor. Watch on YouTube ↗

Twelve weeks in numbers
0
Polish buyers on hand when the project began
173
Buyers contacted in the first round — 31% email open rate
25
Classified as interested (18 priority · 7 watch)
161
Buyer records left with the company · 311 responses
Company
LALA PINK Melanin care ampoules, creams and LED devices + Global Academy
Role
Kim Hyun-a — AI trade global sales Incheon National University GTEP
Together with
CONNECT AI · INU GTEP · PBS KOREA
Same team
Jung Han-young — AI visibility Handling the side buyers reach through search
Duration
12 weeks Started August 11, 2026 · ongoing
Exhibition
Beauty Days 2026 Sep 4–6, 2026 · Ptak Warsaw Expo · Warsaw, Poland

[Mission] Bring buyers to the show floor in Poland!

Background

Starting from zero Polish buyers

LALA PINK’s place at the show was confirmed, but its 86 existing overseas partners were concentrated in Asia. Its only European reference was a single partner in the UK, and it had no buyer network in Poland at all.

Strategy

From inbound to outbound sales

Waiting at the booth for buyers to turn up was not an option. The plan was a sales pipeline: find the genuine buyers who fit best ahead of time, bring them to the show in person, and turn those meetings into contracts through disciplined follow-up afterwards.

Execution

A record of the full sales cycle

Here is the process that ran for weeks on either side of a three-day show: [ inviting target buyers in advance — close consultation on the floor — relentless follow-up ].

Week 3 material — Beauty Days 2026 confirmed, 86 existing contacts concentrated in Asia, one European reference, zero Polish buyers
The booking was confirmed; the buyer count was zero. That blank page is where the project started.

What exactly is the ‘AI trade global sales’ job?

Analysing markets and companies, selecting qualified buyers, writing a message per buyer, making contact, then turning the response into data and revising the next proposal — the whole twelve-week cycle.

Ordinary market research ends when the report is filed. This work is not finished until “who replied, and what sales action follows” is answered.

The twelve-week AI trade global sales project

Main activities per period and what accumulates with the company
PeriodMain activitiesWhat accumulates with the company
Wks 1–2Establish LALA PINK’s export readiness for its products and training business, and verify information on candidate companies to inviteAn export-readiness baseline and a candidate buyer pool
Wks 3–4Define the core buyer types — clinics, aesthetic salons, specialist beauty distributors — and analyse their products, channels and existing brandsA definition of the right buyer for LALA PINK, and priorities
Wks 5–6Analyse which products and training partnerships suit each buyer, then write and get approval for messages matched to the company and the roleAn approach strategy per buyer and approved sales messages
Wks 7–8After company approval, make contact by email and WhatsApp and record opens, replies, questions and intent to visit the showBuyer behaviour data and interest classification
Wks 9–10Send follow-ups by level of interest and propose the next step — a show visit, an online meeting or training in KoreaHigh-engagement buyers and possible follow-up meetings
Wks 11–12Accumulate contact history, proposals, responses and next contact dates in MORI, then hand over to the company and verify resultsA reusable overseas-sales database and a job portfolio

What was the test for a buyer that actually fits LALA PINK?

Not size, and not name recognition. LALA PINK sells more than cosmetics — it pairs professional melanin care products with a training programme. So the core targets were the places that can take both: clinics, aesthetic salons and specialist beauty distributors.

The question was never “how big is this company” but “can this company actually run and sell our products and protocol”. The search went beyond Poland into Czechia, Estonia, Hungary, Latvia and Romania — six Central and Eastern European markets — and buyers were sorted into three channels (salon, training centre, distributor) and ranked by fit with LALA PINK’s training model.

Weeks 4–5 — buyers across Poland, Czechia, Estonia and Hungary sorted into three tiers: Partner, MUSE and Distributor
Not company size but whether a buyer could absorb both the products and the training — targets across Central and Eastern Europe, sorted into three channels: salon, training centre, distributor.

What separates a buyer list from buyer intelligence?

A usual buyer list stops at a company name and a contact. What we built is data for actual selling.

Alongside the basics we recorded why LALA PINK should be proposed to that company, which product and programme fit, the message to approach with, whether they opened the material, and the follow-up. It does not stop at finding a contact — the next sales action is designed for every buyer.

The MORI AI mentor briefing a buyer’s trade inquiry — each point of the reply set beside the original sentence, with a warning that the sender address is new
When a buyer writes in about a deal, MORI’s AI mentor reads it first and reduces it to its gist. Each point keeps the original sentence beside it, and it flags a reply from an address never used before — so the next sales action can be decided. Buyer name, email and company are masked.

You prepared a floor manual in advance as well?

To handle the floor without improvising, we pulled eight core questions for each of three buyer personas — twenty-four in all — and wrote the manual in Korean and English.

What mattered more than the answers was deciding what not to answer. Price, minimum order quantity, lead time, exclusivity, free samples: ten items that must never be settled on the spot. Giving only verified information, rather than pretending to know, is what protects trust when a buyer moves to due diligence.

Weeks 6–7 — the buyer response manual: three personas × eight questions = 24, plus ten items never to confirm on the spot and a list of unsupported claims to avoid
The twenty-four-question floor manual, including the ten things that must never be confirmed on the spot and the claims to avoid.

How did the outreach land, and how is the follow-up running?

Tailored messages went to 173 buyers: a 31% open rate, four replies, and 25 target buyers secured (18 priority, 7 to watch). Buyers were classified on real engagement — revisits and actual replies — not on open rate alone.

The follow-up diverges with the response. Large distributors are offered a video meeting; salons and solo professionals are offered a training booking. A five-stage pipeline runs from the booth conversation through the first follow-up, a meeting or visit intent, a pre-booking, and finally a contract — and anything stalled mid-pipeline is not counted as a result.

MORI KPI report — 173 sent, 31% email open rate, 25% proposal open rate, 2% reply rate, 25 interested buyers
Response after the first send. Performance is read from revisits and replies, not from the open rate alone. Staff contact details are masked.
Weeks 10–11 — Track A for big buyers aiming at a video meeting and Track B for smaller buyers aiming at an academy booking, with separate goals and CTAs
Not the same offer to everyone: a video meeting for distributors, a training booking for salons and solo professionals.

What stays with the company once the project ends?

It does not end as a one-off event or a report. So the company can keep selling abroad on its own, a database of 161 target buyers, 311 response records and the twenty-four-question manual are handed over in order.

Even if the person in charge changes, the contact history and response data can be read immediately — an overseas-sales database the company owns as an asset.

Handover assets — the MORI screen holding 161 buyers, 311 responses, 8 materials, 6 trust signals and 41 actions, at 28% asset completeness
The assets handed to the company at the end — contact history, buyer responses and follow-up actions in one place.

What does it mean to call this your first real job experience?

Using AI for market research or coursework is one thing. Taking a real company’s product and driving the whole cycle — target analysis, buyer contact, data-led revision of the strategy — is another thing entirely.

I ran every stage myself: market analysis, buyer discovery, tailored messaging, live contact, response analysis and revising the follow-up. That is why this is not a training certificate but a first career in a job, measured by what it produced in a real market.

Kim Hyun-a connecting data to real sales actions and meetings
Turning market data into sales results, and building a solid first career out of it.
“Buyer intelligence is not a contact list. It is a working asset, built so the next sales action can be decided on the spot.Kim Hyun-a · AI trade global sales specialist
Young regional talent, growing into AI trade specialists who find a company’s export opportunities themselves

With government agencies, associations and universities, CONNECT AI runs AI trade talent development and first-career projects for young people in the regions — case-based lectures, a live MORI demo, and a tailored twelve-week pilot design.

Request a demo or lecture

Participants complete AI trade job training, then join a local exporter to run market analysis, buyer intelligence, global sales and follow-up. They finish with a job portfolio covering the period, the role, the outputs, the metrics and the company’s confirmation.

Frequently asked questions
What is the AI trade global sales role?

It analyses overseas markets and target companies, selects qualified buyers, makes direct contact with a message written for each of them, and designs the follow-up from the response data. It does not stop at a research report — it carries through to who replied and what sales action comes next.

Where did this project start?

The booking for Beauty Days in Poland was confirmed, but Polish buyers numbered zero. The 86 existing contacts were concentrated in Asia with a single European reference. So the work began by finding buyers that fit the brand and drawing them to the floor before the show opened.

What are the results so far?

A first round reached 173 target buyers: a 31% email open rate, four replies and 25 target buyers (18 priority, 7 to watch). The company holds a database of 161 buyers, 311 response records and the twenty-four-question manual. The project is ongoing, and the goal for this round is one pilot agreement rather than a quick contract.

Why are the buyers not named?

The companies and individuals actually contacted are third-party personal data and part of the client’s commercial confidentiality. This article therefore describes only the channel structure — distributor, retail chain, marketplace — and the names and email addresses on screen are masked.

Can an agency or a university run the same project?

Yes. CONNECT AI supports government agencies, local authorities, associations and universities with case lectures on the INU GTEP and LALA PINK projects, a live MORI demo, and a tailored twelve-week pilot programme design.

Creating the people you will meet — data-led AI trade global sales is becoming the new standard of trade practice.