SummaryJinan Fengli Feed Co., Ltd is a China-based trading company in Jinan, Shandong, established in 2014, with stated activities involving feed raw materials, feed additives, cat litter raw materials, and manure. The available information indicates a small registered entity with two employees and a 50.83 m² manufacturing plant, while also reporting five production lines and feed productivity of 20,000 tons. It has no listed supplier management-system certification, and the reported quality-control staffing level is inconsistent with the stated total employee count. Export-related information is present, including self-operated import/export rights, exports accounting for 41%–50% of sales, and export activity beginning in 2023. However, the slices provide insufficient evidence to confirm after-sales capability, customization, innovation, customer cases, or overall financial credibility.
Supplier typeThe supplier is explicitly identified as a trading company and limited company, with commercial activity in agriculture and food. Its stated products include feed additives, cat litter raw materials, manure, and feed raw materials, indicating a trading-oriented supplier with some reported production activity.
CertificationsThe supplier management-system certification field is explicitly recorded as NIL. No other certification is provided in the available slices, so there is no evidence of certification holding.
R&D capabilityThe company describes its products as pure natural, non-high-tech, and involving no deep processing. This directly indicates a conventional, simple-natural product approach rather than demonstrated technological innovation; no R&D, patents, or new-product evidence is provided.
Production capacityThe supplier reports a 50.83 m² manufacturing plant, five production lines, and feed productivity of 20,000 tons, with lead times within 15 working days in both peak and off-peak seasons. However, the reported total employee count of two conflicts with the reported 41–50 quality-control staff, so operational scale data should be verified before relying on it.