Shenzhen Jijia

About Shenzhen Jijia

Shenzhen Jijia Cross-Border Network Technology Co., Ltd., operating as Jijia ERP, is a SaaS provider focused on the cross-border e-commerce sector. Established in 2017, the company is headquartered in Shenzhen, China, with an additional R&D center in Changsha. Jijia ERP has demonstrated significant growth, securing multiple funding rounds, including a Series A round that totaled \$19.1M by August 2022, with investors such as Fosun RZ Capital, Yunqi Partners, and Worldwide Logistics Group.

The company provides an omnichannel ERP (Enterprise Resource Planning) platform designed specifically for cross-border e-commerce brand sellers, with a primary focus on merchants operating on Amazon. The platform aims to centralize and streamline business operations, enabling clients to manage their global sales, supply chain, and finances from a single interface. Revenue is generated through a SaaS model, where clients subscribe to the ERP platform. The business targets medium-to-large Chinese brand sellers looking to expand their international footprint. Jijia ERP boasts a client renewal rate of 96% and has received numerous industry awards, including the 2022 Hugo Award for Best Cross-Border Software.

The Jijia ERP platform offers a comprehensive suite of tools to manage the complexities of cross-border trade. Key features include operations management, which integrates data from over 60 e-commerce platforms, and supply chain management for handling procurement, logistics, and inventory. The system provides financial management capabilities with a 'first-in, first-out' cost allocation logic for accurate profit calculation and integrates with financial software like Kingdee. Its advertising management tools support major platforms like Amazon and Walmart, offering detailed analytics to maximize ROI. Additionally, the platform includes features for customer service management, data-driven analytics with over 120 metrics, and intelligent replenishment suggestions to optimize inventory levels.