Fresh Apple 수출 진단 (Ads)

Tridge 데이터와 무관한 제품·시장 본질 적합도

Confirmed from the brief: this is an existing exporter in Kyrgyzstan offering fresh apples, 10 MT per month, targeting Mongolia through importer/distributor/wholesale channels. I also confirmed that the product is perishable fresh produce, which makes condition control, grading consistency, and border-clearance reliability central to suitability. I could not reliably verify public, citable Mongolia-specific import-demand figures or the exact official tariff/quarantine text within this run, so absence of those figures here should not be read as absence of demand.

수출 난이도 (규제·무역·인증)

Confirmed from the brief: the product is fresh apples from Kyrgyzstan to Mongolia, so the practical export challenge is less about long-haul ocean freight and more about making a perishable cross-border produce shipment work reliably. For a first-time shipment into this market, the concrete workstreams are likely phytosanitary documentation, border plant inspection, packhouse traceability/quality consistency, and refrigerated handling. I could not reliably verify during this run the exact Mongolia tariff line treatment, the official named quarantine procedure, or the precise consumer-label rule for fresh apples, so those should be checked directly with Mongolia Customs / plant quarantine authorities before sale commitments.

시장 특성

구매자 우위 시장

특이사항

Fresh apples are typically a specification-sensitive category: buyers can compare on size, color, sugar level, defect tolerance, packaging, and delivered condition, which tends to increase buyer leverage unless the seller offers a clear seasonal, logistical, or price advantage. Nearby overland supply can help freshness and lead time, but incumbent origins and seasonal price swings may still pressure margins. Because the request is only 10 MT/month, campaign positioning should emphasize reliability and flexible mixed-load execution rather than scale.

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 broad in raw pool terms across Mongolia-focused universes, but the delivery outlook is weak once the funnel is applied. Total expected output is only responded 0.8~2.3 and leads 0.0~0.2 in the conservative case, with an upside of responded 2.3~5.4 and leads 0.2~0.7 in the aggressive case, so the realistic deal yield remains below 1 lead even at the top end. This creates a clear gap between the draft market idea and Tridge’s practical buyer-delivery reach: even with multiple buyer segments and a total pool of 1305, the difficulty-weighted funnel yields only a very small lead band. The high-difficulty modern retail intermediary segment is especially illustrative: its larger pool does not translate into proportionate lead output.

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 did not surface a clear, verifiable company footprint for a Kyrgyz seller named Ads in agriculture: the search results were largely unrelated to a specific exporter, and I could not confirm a company profile, export team, overseas office, trade-fair activity, or documented direct export history from public sources. The reference trade indicator is also unavailable here, so this diagnosis is made under the assumption that there is no observed export data in Tridge; this does not mean the company has never exported, as exports outside observed coverage or indirect/domestic-to-foreign-buyer sales may exist and reality may differ. The customer-stated points that they are currently exporting and hold ISO 9001 help signal some operating intent, but without external evidence of systemized direct-export operations, they are not enough to lift the rating. Given the lack of confirmed signs of dedicated export organization or repeated direct market development, the company should be treated as having limited proven direct export capability at this stage.

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 79.2% — 나머지는 이름·설명 매칭만으로 잡힌 미검증 회사다.

Committed lead count is 0 because the fixed system derivation states: 4축 확약 점수 3 → 목표 2건, but 발굴 pool 422개 기준 이행 상한 0건, and the lower of the two becomes the commitment. The score was held down by 제품·시장 적합도 low (+0) and 판매자 수출 경쟁력 low (+0), while 수출 난이도 moderate (+2) and Tridge 데이터 준비도: 수입 실적 확인 비율 79.2% (+1) brought the total to 3. Plainly, the binding constraint was the pool-derived delivery cap of 0건 rather than the score target of 2건. That is consistent with axis ② as well: even across the buyer universes, the expected total lead band is only 0.0~0.2 conservatively and 0.2~0.7 aggressively.