Upstream & Manufacturing: Agribusiness (Agriculture, crop protection, horticulture, aquaculture, food, feed ), chemicals, biological, nutrition/ingredients/additives, materials, petroleum & oil, mines, energies.

Downstream & Consumers: China agriculture (agri-inputs, crops, diseases, distribution, retailors, farmers, plantation, supply chain, administrates)

上游及制造业：农业综合业务（农业、作物保护、园艺、水产养殖、食品、饲料）、化工、生物、营养/配料/添加剂、材料、石油、矿山、能源。

下游及消费者：中国农业（农业投入品、作物、病害、分销、零售商、农户、种植、供应链、行政管理）

Miracle happens when industrial knowledge & expert perspectives are embedding into trade data governance by:
• Consolidating the aggregated shipping records (ocean, air, freight) through advanced data processing technology/algorism, assisted with profound company databases and preliminary but primary varication and crosschecking;
• Uncovering the mystery between different products/materials, and a variety of specifications/grades/formulations;
• Discovering and navigating internal relationship between manufactures, traders, buyers and sector feathers with visual technology;
• Upgrading sourcing solutions to competitive analysis, strategy foundation;
• Leveraging the penetration into specific country/regions/sector and incredibly supporting the market share increment.

当行业知识和专业视角融入贸易数据管理时，奇迹便会发生：
• 通过先进的数据处理技术/算法整合汇总的运输记录（海运、空运、货运），辅以丰富的企业数据库和初步但基础的验证与交叉核对；
• 揭开不同产品/材料以及各种规格/等级/配方之间的奥秘；
• 利用可视化技术发现并梳理制造商、贸易商、买家和行业特征之间的内在关系；
• 将采购解决方案升级为竞争分析和战略制定的基础；
• 深入特定国家/地区/行业，极大地支持市场份额的增长。