Fruits 수출 진단 (Kapex Export)

Tridge 데이터와 무관한 제품·시장 본질 적합도

Confirmed: this is a diversified fresh-produce offer from Turkey, so campaign design can use different shelf-life and seasonality windows across pomegranates, peaches, apples, grapes, and figs rather than relying on one SKU. Confirmed from public official sources: EU-bound plant and plant-product imports run through formal plant-health/official-control systems including TRACES, which means even commercially attractive demand still sits behind real compliance work. I could not reliably establish market-demand figures, target-country import growth, or fruit-by-fruit admissibility for every non-EU market from public sources within the research budget, so absence of those figures here should not be read as absence of demand.

수출 난이도 (규제·무역·인증)

For Turkey-origin fresh fruit, export execution is inherently operationally heavy because the products are perishable and market access usually depends on phytosanitary compliance, residue control, and disciplined cold-chain handling rather than simple trading paperwork. What I could confirm publicly is that the EU uses TRACES/IMSOC for plant-health certification on imports and that fresh produce into regulated markets commonly needs phytosanitary documentation; buyer-side private standards such as GlobalG.A.P. are also frequently required, especially for retail-linked programs. I could not verify a single universal tariff or one identical protocol covering all five fruits across all possible target countries, and product-specific access conditions for the US, China, and other markets were not fully confirmed within budget, so those should be checked fruit-by-fruit before committing campaign focus.

시장 특성

구매자 우위 시장

특이사항

Fresh produce generally faces strong price comparability because buyers can switch origins by season and specification, so sellers without clear advantages in grade consistency, residue-management discipline, packaging flexibility, or timing often face buyer pressure. Turkey’s proximity favors nearby Europe, UK, Balkans, CIS, and Gulf routes versus very distant destinations, while soft fruit such as peaches and fresh figs are more logistics-sensitive than apples or pomegranates. Retail programs typically raise the bar via audit, traceability, and packaging requirements; wholesale/importer channels are usually the more practical first landing point for mixed-fruit offers.

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 coverage is strong for this request because the total funnel supports expected leads of 5.4~32.4 in the conservative scenario and 32.4~113.5 in the aggressive scenario, with the largest deliverability coming from EU produce importers and Gulf import-distributors. The pool is not evenly valuable: some universes look sizable but narrow materially after the funnel, especially higher-difficulty retail and smaller UK wholesale coverage. There is a visible intrinsic-vs-reach gap in that axis ① market fit is high, but actual deal opportunity should still be calibrated to the lead band after response and qualification, not to the raw 63681 pool.

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 found a live company website domain and an Instagram account presenting Kapex Export as a Turkish fresh-fruit exporter, but I could not verify stronger signals of a systematized direct-export organization such as named export staff, overseas branches, distributor announcements, trade-fair history, or third-party coverage confirming sustained foreign sales. The only stated fact is that the company had export experience in the past, which is directionally consistent but not specific enough to prove repeatable channel-building capability. 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; as a reference indicator, the missing observed match therefore neither proves nor disproves exports, and the research footprint remains thin. Applying a skeptical standard, the available evidence supports that the company likely participates in export activity, but not that it has demonstrated a well-structured direct-export system, so the capability is assessed 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 59.1% — 나머지는 이름·설명 매칭만으로 잡힌 미검증 회사다.

The committed qualified-lead count is FIXED at 4 because the system-derived 4-axis score is 6, which maps to a target of 4건. The same input states that the pool-derived delivery cap is 5건 based on 발굴 pool 57079개, so the commitment is the lower value, 4건. What held the score down was seller competitiveness being low (+0), while 제품·시장 적합도 high (+3), 수출 난이도 moderate (+2), and Tridge 데이터 준비도 59.1% (+1) supported the target. In this case, the grades set the binding number rather than the pool cap, because the cap of 5건 was above the target of 4건.