Fresh Grape Export Feasibility Check (plant build equip)

Tridge 데이터와 무관한 제품·시장 본질 적합도

Confirmed from the brief: the seller is already exporting and is offering perishable fresh fruit, which makes shipment execution highly dependent on post-harvest handling and cold-chain reliability. Also confirmed: the requested scope is very broad (grapes, avocados, apples, plums, and 'all fresh fruits') across two different destination markets, which increases compliance and commercialization complexity versus a single-SKU campaign. I could not confirm public, citable demand figures, current official tariffs, or product-specific admissibility conditions for each fruit into Libya and Laos during this run. Those unverified items should be treated as unknowns, not as evidence of no demand.

수출 난이도 (규제·무역·인증)

This request is intrinsically difficult because the offer is broad (multiple fresh-fruit SKUs) and the target markets are two smaller, regulation-sensitive destinations where execution depends on importer-side permits, phytosanitary compliance, and reliable reefer logistics. For a first shipment, the practical work is not only paperwork but also cold-chain integrity, quality consistency by SKU, residue management, and market-specific labeling/traceability. I could not reliably verify current official tariff lines, exact import-permit workflow details, or commodity-by-commodity admissibility rules for Lebanon-origin fruit into Libya and Laos within the research budget, so those points remain unconfirmed rather than negative.

시장 특성

구매자 우위 시장

특이사항

For imported fresh fruit, distributors/wholesalers usually have multiple substitute origins and can switch by season, price, appearance, and transit reliability, so sellers without a sharply defined seasonal or quality edge tend to face buyer price pressure. The very broad product scope suggests the campaign should expect fragmented demand by SKU rather than one uniform pitch. Political, banking, and port/route execution risk may be more relevant in Libya than in large mainstream import markets, but I did not verify current route-specific disruptions in this run.

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 can discover a meaningful raw buyer pool across these universes (total pool 1554; total targeted 181.0), but the difficulty-weighted funnel compresses that reach sharply at the lead stage. At the total level, expected leads are only 0.0~0.3 in the conservative scenario and 0.3~0.9 in the aggressive scenario, so realistic deal opportunity generation remains below 1 lead even at upside. The main gap in this case is that axis ① is intrinsically moderate, but axis ② reach is weak once high difficulty is applied across all universes. Libya holds most of the discoverable pool, yet even there the expected lead bands stay very small after response and qualification filtering.

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 the company name and country produced no reliable public footprint for this seller: I could not verify a company profile, website, export team, overseas office, certifications, or documented export history tied to Plant Build Equip in Lebanon. The reference trade data also provides no matched customs record, and while that is not evidence of no exports, it leaves no cross-check showing diversified direct-export activity or a repeatable channel base. Applying the direct-export capability standard, there is no concrete evidence here of a systematized export organization such as dedicated overseas sales, multi-market development, or proven regulatory and buyer-management infrastructure. On that basis, the seller should be treated as having low demonstrated direct export capability until stronger operational evidence is provided.

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 77.0% — 나머지는 이름·설명 매칭만으로 잡힌 미검증 회사다.

Committed lead count is fixed at 0. The input states that the 4-axis capability score was 5, which mapped to a target of 3 leads, but the pool-based delivery cap from the 905-buyer discovery pool was 0, so the lower value became the commitment. In other words, the binding constraint was not the score target itself but the delivery cap derived from practical buyer discoverability and funnel yield. The axes that held the case down were the seller's low export competitiveness (+0) and, more importantly for the final commitment, the pool-side delivery limit that overrode the target.