wine export diagnosis

Tridge 데이터와 무관한 제품·시장 본질 적합도

Confirmed from the brief: the seller is in Portugal and wants to export two products with very different channel and compliance logic—fresh kiwifruit and wine—so the campaign will need segmented positioning rather than one shared pitch. Also confirmed: no target country, region, buyer role, or channel was provided, which prevents destination-specific verification of tariffs, phytosanitary market access, label rules, or alcohol licensing steps. I could not reliably establish public demand figures within research budget from official sources, so no demand numbers are asserted here. The main research confidence is therefore on generic export-barrier structure, not on destination-specific market fit.

수출 난이도 (규제·무역·인증)

This request covers two very different export tracks, so execution difficulty is materially higher than a single-product campaign. For kiwifruit, the main hurdles are destination-specific phytosanitary clearance, buyer-mandated produce assurance, and refrigerated logistics. For wine, the key hurdles are importer/excise compliance and market-specific label rules, which often require artwork rework and local legal review. I could not verify a target-market-specific tariff, protocol, or certificate path because no destination country/region was provided; those can change the barrier set substantially.

시장 특성

균형 시장

특이사항

Because no destination market is named, the practical reality is a split-market campaign: fresh produce buyers and alcoholic beverage buyers are usually separate universes with different procurement calendars, compliance owners, and distributor structures. Kiwifruit is seasonal and quality-sensitive; wine is less perishable but faces heavier route-to-market and labeling complexity. In most markets, incumbent origins and retailer specifications can matter materially, but I could not verify origin-specific competitive positioning without a target market.

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’s discoverable buyer coverage is strong for this request on axis ② because the real buyer pool is broad across multiple universes and, more importantly, the expected Lead band remains material after the full funnel and difficulty weighting are applied. In total, pool 320423 → targeted 37820.0 yields expected leads of 17.1~102.8 in the conservative scenario and 102.8~359.8 in the aggressive scenario, which indicates meaningful deliverability rather than a large-but-shallow pool. The main intrinsic-vs-reach gap is that axis ① is only moderate and export difficulty is high due to dual-track execution and regulatory/compliance barriers, but axis ② itself is still strong because both kiwifruit and wine universes retain substantial lead yield after funnel conversion. High-difficulty retail universes are visibly less efficient than the larger moderate-difficulty importer/distributor universes, so campaign design should favor the latter first.

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

무역 데이터 미매칭 — 진술 정보 기반 평가

Web research on Miguel Fonseca in Portugal produced no reliable company profile, export organization, overseas office, hiring signal, certification record, or documented export activity that could be tied to a seller entity rather than an individual name. The reference trade indicator is also non-match only, which is not evidence of no exports; this diagnosis is made under the assumption that no exports were observed in Tridge, and this does not mean the company has never exported, as out-of-coverage exports may exist and reality may differ. Under a skeptical baseline, export capability is not inferred from a generic name alone; without concrete signs of a systematized direct-export setup such as dedicated overseas sales, repeated market development, or verified regulatory/export operations, there is no basis to raise the rating. I therefore assess the seller's direct export capability as 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 42.5% — 나머지는 이름·설명 매칭만으로 잡힌 미검증 회사다.

The committed qualified-lead count is 2 because the system-computed 4-axis commitment score is 3, which maps to a target of 2건, and the pool-derived delivery cap is 5건 based on the 발굴 pool 189100개 기준 이행 상한 5건; the lower of the two governs the commitment. In this case, the binding constraint was the score-side target of 2건, not the pool cap. The score was held down by high export difficulty (+0) and low seller export competitiveness (+0), while 제품·시장 적합도 moderate (+2) and Tridge 데이터 준비도 42.5% (+1) supported the result. So the lead commitment was constrained more by execution difficulty and seller readiness than by Tridge’s raw buyer-discovery capacity.