Ship every
unit.
Take K-beauty brands to the U.S. consumer — end to end.
VisionVentory connects the Korea↔U.S. corridor in a single flow — from fulfillment service (VVFulfillment USA) to a unit-level WMS software (vit) and last-mile delivery. We operate the engine ourselves, then sell it as software.
The wave is here,
and it's measured.
U.S. K-beauty isn't a hunch — it's a number. 2025 U.S. K-beauty sales hit $2.0B (+37% YoY), driven by a TikTok-fueled online explosion. But the local fulfillment to absorb that volume is the bottleneck.
Cosmetics logistics is not like general goods
Cosmetics-specific complexity
Expiry (FEFO), lot/batch, unit-level tracking, returns inspection. General WMS knows only “box/quantity” — not the individual unit (serial).
Channel fragmentation
Shopify, Amazon, TikTok Shop, Naver, Coupang — orders scattered. Manual reconciliation → errors, delays, stock mismatch.
3PL black box
Outsourced warehouses give brands no real-time view of stock or status. Enterprise WMS is overkill; small tools lack integrity.
Sources: NIQ·CNBC (2025 U.S. K-beauty $2.0B, +37%) · Cosmetics&Toiletries/eMarketer (TikTok Shop beauty +107.7% YoY, 70% online) · Mordor Intelligence (e-commerce fulfillment $138.25B ’25→$241.38B ’30, CAGR 11.8%).
Track every
single unit.
vit is VisionVentory's AI-native WMS — the name comes from AI's Vision Transformer. A cloud WMS purpose-built for K-beauty DTC fulfillment. Precise, multichannel, real-time.
Unit-level precision
“Inbound by box, outbound by unit.” Per-unit QR tracking + FEFO (expiry-first) + an append-only ledger (no edit/delete) for guaranteed integrity.
Multichannel order & carrier sync
Major U.S. & Korea marketplaces and carriers with one API key. Auto order ingestion → label purchase.
Three operating roles
Field PDA (scan only) · office console (view/manage) · HQ control (all-region KPIs). Each sees exactly what it needs.
Korea & U.S. region-direct
Server and DB respond from the customer's own region — Korea 0.1s, U.S. 0.2s. Real-time brand visibility.
Inbound to outbound, one flow
Not a deck — a running SaaS. Months of a normal team's work, built capital-efficiently by one person + AI. That reproduction difficulty is the barrier to entry.
Nobody solves this route
end-to-end.
The market is fragmented. The WMS software market is $4.6B (’25)→$10B (’30), yet the top 5 vendors hold just 25–30%. Each camp knows only one side — we connect the entire Korea↔U.S. corridor.
Enterprise WMS
Manhattan · Blue Yonder · SAP · Oracle. Powerful but large, costly, months to deploy. Zero K-beauty / cross-border focus; not self-serve for brands.
U.S. 3PL fulfillment
ShipBob · ShipMonk. Strong on U.S. logistics, but blind to Korea-origin flows and cosmetics regulation (FDA/MoCRA); weak on unit serial, FEFO, brand visibility.
Korea→U.S. service agencies
Colosseum · Techtaka · Shipfusion. They run the launch service but don't sell software. Brands stay locked in their black box.
| Criteria | vit | Enterprise WMS | U.S. 3PL | Launch agency |
|---|
The moat is the “route,” not a feature. To follow, you must know Korean sellers + U.S. fulfillment + cosmetics regulation (customs, expiry, unit-level, Korean-language) — all of it. Rivals know only one side. A large yet defensible niche — the niche itself is the moat.
Sources: MarketsandMarkets·Mordor (WMS SW $4.57B ’25→$10.04B ’30, top-5 share 25–30%) · competitors = public materials, category examples.
Not just
a SaaS.
VisionVentory is a flywheel of three mutually reinforcing layers. We operate fulfillment ourselves (via subsidiary/partner), validating the WMS daily — then sell that proven engine as software. Our own operation is the first reference, so there's structurally no “one reference” ceiling.
① Fulfillment service VVFulfillment
For U.S.-bound K-beauty brands. Entry, cash flow, references, domain learning. We run it — including last-mile — validating the WMS in the field.
② WMS SaaS vit
The engine of scale and margin. No one sells a K-beauty cross-border WMS as standalone software — a real gap. Customers: self-operating sellers + small fulfillment providers.
③ Service + SaaS bundle
Premium, lock-in — bundling service and software per customer need. Only vit, holding both ① and ②, can. The path Flexport & ShipBob proved (service land → software expand).
Flywheel. Operate service → validate WMS daily → “a WMS we run ourselves” → sell SaaS → accumulate customers, data, trust → strengthen service → (repeat). Built not by a developer who learned the domain, but by an executive who ran it — rebuilt with AI. That's where product-grade depth comes from.
Recommended sequence = ① service → ② productize SaaS → ③ bundle (not simultaneous — focus). Risk: service and SaaS have different DNA and need org separation at scale — designed for, knowingly.
The structure, on one canvas
- 3PL warehouses
- Carriers (USPS·CJ)
- Marketplaces
- Payments (Polar MoR)
- Product & integrations
- Customer success
- Unit-level precision
- Multichannel
- Real-time visibility
- K-beauty focus
- Product-led (PLG)
- In-app onboarding
- Product IP · AI automation
- Founders' domain
- Self-serve web
- References · partners
- U.S.-bound K-beauty brands (service)
- Self-operating sellers (SaaS)
- Small fulfillment providers (SaaS)
- Logistics ops (service layer) · cloud infra (free→usage, revenue-linked) · product · customer success
- ① Service fees · ② WMS subscription (5 inbound-unit bands, pure recurring) · ③ import·customs·settlement add-on ARPU
Priced by monthly inbound units
No feature tiers — every band is full-featured. Price varies only by monthly inbound unit volume. The system logs one ledger row per unit at inbound, auto-metered → predictable, low-friction.
Band boundaries (100·2,000·5,000·10,000) are fixed. Per-band monthly prices are benchmark figures under GTM validation — finalized with real customer data.
The WMS is
the wedge.
Land with the WMS, earn trust, then stack the value chain on top of that data — revenue grows per account with no new acquisition cost. The data model already reserves room for the next modules.
Import agency — PO·shipping·arrival
Wire cross-border import logistics straight into WMS inventory.
U.S. customs · FDA/MoCRA
Cosmetics import requirements & U.S. agent — the incumbent logistics domain as a weapon.
Per-channel settlement & margin
Import→warehouse→outbound→settlement in one line = higher switching cost, deeper moat.
mile
U.S. last-mile delivery
From outbound to the consumer's door. The service layer runs it, accumulating delivery data & know-how.
Expansion bends the curve
Revenue = active customers × avg band ARPU × 12 + expansion modules. Self-serve keeps CAC low, and revenue grows within the same accounts.
Illustrative ARR scenario — shows the shape of the model, not committed results. Conservative, before expansion modules / NRR uplift.
Product done → scale
Fulfillment service
VVFulfillment USA (LA) in operation = first reference & cash flow
WMS product · hardening
Live SaaS · security audit · automated tests
SaaS sales · channels
Amazon·Naver·Coupang integrations → external customers
Import·customs·settle
Value-chain expansion → ARPU · lock-in
Bundle solution
Service + SaaS bundled across many brands
The bottleneck is no longer code — it's the first paying customer. The product is ready; the shortest path is live billing → dogfood our own warehouse → first reference → expand. Capital and partnership at this point stand the curve up.
The two who
build the moat.
Unlike rivals who know one side, we hold both U.S. on-the-ground fulfillment ops and cross-border AX/product — as incumbents. The service layer already operates in LA — the flywheel isn't a hypothesis, it's turning.
Hyejung Kim 김혜정
U.S. logistics ops · 20yr e-commerce · warehouse automation IP
- VVFulfillment USA founder — operates LA fulfillment directly (Shopify·Amazon)
- visionventory.ai CEO — warehouse in/out automation patent (filed) (logistics-automation IP)
- Jaycos Inc. CEO — 20-year online marketplace vendor (Smartstore)
Aaron Kim 김애론
Strategy × AI × Execution · cross-border logistics AX · product
- Incumbent cross-border logistics AX Director — 30-yr firm, ~200 staff; 27 AI systems · 29 GPTs · UNI-PASS·MFDS APIs
- 20-yr global executive — IBM·Atos (APAC 1,200) · CHO · SVP (1,500-org redesign)
- Startup CEO/CPO — B2C platform 0→1, PRD·UX·code end to end. Quadrilingual (KR·CN native)
Founder-Market Fit. Korean sellers + U.S. on-the-ground fulfillment + cosmetics regulation·cross-border customs + AI product — the team covers every domain the moat requires, as incumbents. Plus a warehouse automation patent in progress. Rivals know only one side.
The product is done.
Let's open the market together.
VisionVentory has a live product and validated infrastructure. What we need now is a strategic partner and capital to bet on entering the first customers and scaling.