Non-Basmati Rice, Basmati Rice, Peanut, Chili, Cardamom, Jaggery, Areca plate, Export Diagnosis (Koval Global)

Tridge 데이터와 무관한 제품·시장 본질 적합도

Confirmed from official Indian sources: the offered basket sits squarely in APEDA-governed agricultural export categories, and APEDA operates formal exporter registration plus product traceability/compliance infrastructure for at least basmati rice and groundnut. APEDA’s public quality menu also confirms active MRL/compliance management for rice and pesticide residues, which is relevant for spices and grains. I also confirmed India remains a large groundnut exporter, but I did not verify market-demand figures for each product in the stated target because the target country provided is India itself, making the export corridor ambiguous. I could not verify country-specific tariffs, buyer-side regulatory regimes, or areca-plate import requirements without a real foreign destination list.

수출 난이도 (규제·무역·인증)

This is a broad basket of bulk agro commodities, so export execution is product-specific rather than one-size-fits-all. What I could confirm from official APEDA pages is that exporter registration (RCMC) is relevant, and APEDA maintains named traceability systems including Peanut.Net and Basmati.Net; APEDA also publishes rice MRL resources and an international pesticide MRL database, which indicates real residue-compliance work for rice and spices. I could not reliably verify a single current tariff schedule, product-by-product destination restriction set, or a definitive areca-plate compliance regime from accessible official pages within budget; those should be checked once real target countries are defined. The brief’s target country is India, which is the same as the origin, so if the commercial intent is actually domestic sales rather than export, most cross-border barriers would not apply and the campaign scope should be corrected before selling an export campaign.

시장 특성

균형 시장

특이사항

The request is structurally unusual because target_countries = India and origin_country = India. For an export campaign, that means the geographic scope is presently invalid or at least ambiguous. Product basket breadth is both a strength and a complication: staples such as rice, peanuts, sesame, spices, sugar/jaggery, and tableware do not share the same compliance path, seasonality, residue risk, packaging norms, or buyer universe. India-origin agro commodities also compete in globally price-sensitive categories where incumbency, residue performance, and consistency matter more than generic catalog breadth.

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 buyer pool is 401149, and after the deterministic funnel the expected lead band remains material at 19.5~116.7 in the conservative scenario and 116.7~408.5 in the aggressive scenario. Coverage is distributed across several sizable universes, with the largest contribution from Spice wholesalers and Sweetener bulk traders, while even the smaller high-difficulty Eco tableware distributors universe still shows a non-trivial lead band. The main gap to surface is not lack of buyer discovery reach, but the difference between broad intrinsic product-market appeal and executable campaign focus: axis ① is high, yet the brief still needs geography correction and narrower SKU-led tracks to convert this large pool into realistic deal opportunities.

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

참고 지표 관측 3개년: 수출 $1K · 1개국 · 1개 품목

Web research produced a very thin public footprint for Koval Global in India: I could not verify a company website, exporter directory profile, export team, overseas office, certifications, trade-fair participation, or news coverage showing structured direct export activity. The observed trade data is only a reference signal, but it shows $1K across 1 country, 1 product, and 1 customer, with exports concentrated in dried-betel 100.0% to MV 100.0%, which is more consistent with a narrow or channel-dependent track record than a diversified direct-export system. Under the skeptical standard, a company starts at a low baseline unless there is concrete evidence of systemized export operations such as dedicated overseas sales capability, repeated multi-market expansion, or documented regulatory/commercial execution. On the evidence available, there is not enough to move this above low, despite the stated claim that it is currently exporting.

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 52.9% — 나머지는 이름·설명 매칭만으로 잡힌 미검증 회사다.

The committed qualified-lead count is fixed at 4 because the input states: 4축 확약 점수 6 → 목표 4건, while the pool-based delivery cap from the 291861개 발굴 pool 기준 is 5건, and the commitment takes the lower of the two. In other words, the campaign was not constrained by the pool cap; the binding number was the score-based target of 4. The score was held down mainly by seller export competitiveness being low (+0), while 제품·시장 적합도 high (+3), 수출 난이도 moderate (+2), and Tridge 데이터 준비도 52.9% (+1) supported the case but did not raise the commitment above 4.