Coffee beans Export Diagnosis (Bara)

Tridge 데이터와 무관한 제품·시장 본질 적합도

Confirmed: this is a widely traded agricultural ingredient, but exporting raw Arabica as a first-time seller is process-heavy because destination food-import rules and quality-preservation logistics matter. I verified clear U.S. import formalities around FDA Prior Notice and Food Facility Registration, and I found enough basis to flag food/plant compliance review for Canada, Japan, and Russia/EAEU. Not confirmed in this run: exact tariff rates by HS code, coffee-specific phytosanitary exemptions or requirements in each target market, and any product-market demand figures from citable public sources.

수출 난이도 (규제·무역·인증)

For a first-time exporter, raw Arabica coffee is not legally blocked in the named markets based on this research run, but the execution burden is still material. The clearest verifiable hurdles are U.S. FDA food-import formalities (Prior Notice and Food Facility Registration), destination-specific food/plant import compliance, and preserving bean quality through moisture-controlled container logistics. I could not fully verify, within this budget, the exact phytosanitary and importer-licensing treatment for raw green coffee in each of Canada, Japan, and Russia/EAEU, so those points should be confirmed country-by-country before quoting or shipping. Tariff treatment by market was also not reliably verified in this run and should be checked at HS-code level before launch.

시장 특성

구매자 우위 시장

특이사항

Green Arabica is generally sold into professional buying environments where buyers can compare multiple origins and cup profiles, so first-time exporters face strong pressure on consistency, grading, moisture control, sample performance, and documentation. Russia adds geopolitical and payments/logistics uncertainty beyond normal food-import compliance. Kenya appearing in the target list suggests domestic trade or re-export ambiguity; if the real intent is export from Kenya, the campaign should clarify whether Kenya is a domestic market, a transit point, or the actual origin/export corridor.

Pool → Targeted(20%) → Responded → Lead funnel. Responded·Lead는 본질 난이도 가중(low ×1.2 · moderate ×1.0 · high ×0.7). 최종 적합도는 Lead 범위 기준. Pool은 현재 매칭 기준 최소치이며 추가 발굴이 가능합니다(+).

Tridge discovery reach is moderate for this request: the total pool is 36,893, but after the deterministic funnel the expected Lead band is only 1.2~7.5 in the conservative case and 7.5~26.1 in the aggressive case. Coverage is concentrated in a few larger universes—especially Specialty green coffee importers, Importers serving foodservice roasters, and Commercial coffee traders—while the higher-difficulty universes convert less efficiently despite meaningful pool size. The key gap is that axis ① shows moderate market fit, but once high export difficulty and funnel attrition are applied, the realistic deal yield is still limited rather than broad-based.

AI 리서치 기반 회사 수출 역량 진단 — 관측 무역 데이터는 참고 지표 (특정 제품/시장 적합성은 아래 별도 표시)

참고 지표 관측된 무역 데이터 없음 (3개년) — 관측 범위 밖 거래는 포함되지 않을 수 있습니다

관측된 수출 데이터 부재를 가정한 평가입니다 — 실제 수출 이력이 없다는 의미가 아니며(관측 커버리지 밖 수출 가능), 실제와 차이가 있을 수 있습니다.

Web research on the seller name and country produced no reliable company footprint that could confirm Bara’s legal entity profile, export organization, overseas presence, certifications, or prior direct export activity; this should be read as 'not found in public research,' not as proof that such capabilities do not exist. The reference indicator shows MATCHED, NO OBSERVED EXPORT TRANSACTIONS (last 3 years) — BARAN (uju 902362ed-70dd-5c23-8e2f-96ced80caac8, method trigram, confidence 0.57), which does not prove no exports occurred but also provides no supporting signal of an established direct export track record. Tridge에서 관측된 수출 데이터가 없다는 가정 하의 진단이며, 이는 실제로 수출한 적이 없다는 의미가 아니라 관측 커버리지 밖 수출이 존재할 수 있어 실제와 차이가 있을 수 있다. Applying a skeptical standard, I do not see concrete evidence of a systematized direct-export operation such as dedicated export staff, repeated overseas market development, or documented regulatory/commercial execution, so the capability remains low.

캠페인 가격 · 커밋 Lead

결정론적 산정 — AI가 아닌 시스템 룰

확약 = min(4축 점수 밴드, pool 이행 상한). 4축 = 제품·시장 적합도(high 3 · moderate 2 · low 0) + 수출 난이도(low 3 · moderate 2 · high 0) + 판매자 경쟁력(high 2 · moderate 1 · low 0 · 미제공 1) + Tridge 데이터 준비도(±1). 밴드 8+→5 · 6~7→4 · 4~5→3 · 2~3→2 · 그 외 1. 상한은 보수·공격 시나리오 Lead 상한의 중간값(중복 제거 union pool 기준). 커밋 0개는 판매 비권고에서만.

Tridge 데이터 준비도: 발굴 pool 중 수입 실적이 확인되는 비율 44.3% — 나머지는 이름·설명 매칭만으로 잡힌 미검증 회사다.

The committed qualified-lead count is fixed at 2 because the input states: 4축 확약 점수 3 → 목표 2건, while the pool-derived delivery cap based on 발굴 pool 16650개 is 5건; the lower of the two becomes the commitment. What held the number down was the score side, not the pool cap: 제품·시장 적합도 was moderate (+2), but 수출 난이도 was high (+0) and 판매자 수출 경쟁력 was low (+0), with Tridge 데이터 준비도 at 수입 실적 확인 비율 44.3% (+1). In plain terms, discoverable reach was sufficient to support more, but the committed count stayed at 2 because the 4-axis capability score mapped only to a target of 2건.