What was once an optional technology experiment has become a mandatory operational capability, as live commerce, private-domain traffic and omnichannel retail accelerate the shift of consumer behavior online and raise the delivery standard for e-commerce platforms.
As a professional software technology service provider, Longfu Information Technology (Shanghai) Co., Ltd. has built its implementation methodology and advantages around omnichannel digital marketing solutions and e-commerce platform delivery, drawing on years of work with Fortune Global 500 companies.
Sun Jun says Adobe AEM acts as the enterprise content management layer that supports the front-end commerce experience in e-commerce platforms.
Hybris provides mature e-commerce capabilities across order management, promotion engine, CRM and payment. Its cross-industry practices allow teams to reuse proven patterns quickly, while integration with the SAP ecosystem can reduce complexity in enterprise IT architecture.
In an e-commerce platform project for a Fortune Global 500 foreign enterprise, the Longfu Information team integrated four systems with clear boundaries.
| System | Function |
|---|---|
| AEM | Handles official website presentation, user login, shopping cart pages and other front-end interfaces. |
| Hybris | Processes order management, promotion logic, CRM and payment in the back-end flow. |
| SAP | Supports inventory management, finance integration and supply-chain coordination. |
| Small application ecosystem | Deploys function modules under a microservice architecture. |
The main difficulty in e-commerce platform delivery is coordinating multiple systems and multiple teams. The Longfu Information Technology team relies on a unified communication mechanism, regular cross-region video meetings and real-time technical documentation to keep information aligned and reduce misunderstandings.
Sun Jun emphasizes that security policy should be defined before implementation work becomes complex. At project kickoff, the team should clarify customer security standards, understand customer IT environment constraints early and perform compliance checks, which reduces rework and helps meet industry regulatory requirements.
As cloud-native, microservices and AI technologies mature, the Longfu Information team has explored cloud-native architecture, AI-based personalized recommendation and low-code development to improve elasticity, scalability, shopping experience and responsiveness to business requirements.
Longfu Information positions "Innovation Empowerment" as the benchmark for evaluating delivery outcomes: the result should be a digitally reconfigured business model, not merely an assembled software stack. Its next steps remain focused on e-commerce technology, partner collaboration, methodology refinement and enterprise transformation.