欧菲斯：“4+1”战略驱动，构建A2A人机协同数智供应链基础设施

This article outlines the latest digital-intelligent strategic layout of OFS, a leading Chinese government and enterprise procurement service platform. OFS has been selected as one of the annual solution and technical service providers in the "2026 Development Report on Digital-Intelligent Procurement". Key takeaways are as follows:

1. OFS implements a core "4+1"全域 development strategy, building four core business pillars: AI technology, channel operation, warehouse and distribution fulfillment, and private-label products, supported by value-added supply chain financial services. It covers all categories of non-production materials including office supplies, MRO, and employee benefits, balancing the needs of upstream brands, procurement clients, and end users.

2. It has innovatively built an A2A human-machine collaborative procurement architecture, and developed a dedicated AI procurement agent based on large language models. The agent can independently complete end-to-end procurement operations, addressing three core pain points of traditional procurement: inefficient source finding, non-transparent quoting, and inaccurate material matching.

3. It has launched a B2B2C "547" employee benefit service model that adapts to the procurement needs of multiple departments. The model has been implemented at a leading state-owned energy enterprise, generating a cumulative GMV of 116 million RMB and covering 75,000 end users, proving its commercial value.

This article delivers key insights on channel development, product R&D, and business growth for brands targeting the government and enterprise procurement track, with core takeaways as follows:

1. For channel development: OFS's channel operation pillar provides upstream brands with end-to-end brand operation services for government and enterprise channels, covering store management, public bidding, scenario-based marketing, and client relationship management. It helps brands open up direct ToB sales channels to central state-owned enterprises and financial institutions, driving sales growth and brand exposure for a mutually beneficial win-win outcome.

2. For product R&D: OFS operates an open OEM co-creation model for private-label products, partnering with factories to develop high-cost-performance customized products for different office, labor protection, MRO, and welfare scenarios. Brands can leverage this model to build differentiated product lines, establish supply barriers, and optimize their profit structure.

3. For demand matching: OFS's AI system generates demand forecasts based on consumer data, helping brands more accurately capture the real needs of government and enterprise procurement clients and end users, optimize product supply, and reduce inventory risk.

For sellers operating in government and enterprise procurement-related businesses, this article clarifies growth opportunities in the current digital-intelligent procurement track and shares proven actionable experience. Key insights are as follows:

1. Track opportunities: The government and enterprise procurement industry is now fully upgrading toward digital-intelligent, human-machine collaborative operations, and AI replacing repetitive manual work is an established industry trend. Sellers can pursue digital-intelligent upgrades in advance, adapt to new procurement rules, and seize first-mover advantage.

2. Incremental market opportunities: Employee benefits and points-based consumption are currently the core high-growth segments in government and enterprise procurement. OFS's B2B2C "547" employee benefit model has already been market-validated, generating 116 million RMB in cumulative GMV and covering 75,000 end users for a single leading state-owned energy client. Sellers can refer to this model to enter niche segments and unlock new growth.

3. Operational support: OFS offers supporting supply chain financial services that ease sellers' cash flow pressure for scenarios including procurement payment terms, dealer inventory preparation, and project capital advances. Sellers can partner with platforms like this to reduce operational capital risk.

For factories producing non-production materials such as office supplies, labor protection equipment, and MRO, this article sorts out current demand changes in the ToB procurement end and available business opportunities. Core insights are as follows:

1. Product design and production demand: Government and enterprise procurement clients increasingly prefer high-cost-performance products customized for specific use scenarios. Factories can adjust their production focus to adapt to scenario-based customization needs and build differentiated competitiveness.

2. Business connection opportunities: OFS operates an open distributed co-creation model for its OEM private-label product pillar. Factories can partner to build private brands, gain direct access to the ToB sales channels OFS has developed with central state-owned enterprises and large financial institutions, and access large-scale employee welfare project demand worth over 100 million RMB, to secure stable large orders and expand ToB sales channels.

3. Insights for digital transformation: The procurement industry is now upgrading to an AI-driven digital-intelligent supply chain. Factories can leverage the platform's AI-powered demand forecasting capability to optimize production plans, align with real market demand, reduce the risk of inventory backlog, and improve production efficiency.

For service providers focused on digital-intelligent procurement and supply chain, this article discloses current industry development trends, core client pain points, and proven referenceable solutions. Key takeaways are as follows:

1. Industry development trends: Government and enterprise procurement has evolved from a traditional manual collaboration-based supply chain to an AI-driven, deeply human-machine collaborative modern supply chain. A2A (agent-to-agent) human-machine collaboration is the core future direction of the industry, and building end-to-end integrated digital-intelligent supply chain infrastructure has become the mainstream industry development path.

2. Core client pain points: The core pain points of the current government and enterprise procurement industry are concentrated in three areas: low sourcing efficiency, non-transparent pricing, and inaccurate material matching. Derivative pain points also include poor last-mile delivery for government and enterprise materials, cash flow constraints for upstream and downstream enterprises, poor user experience in employee benefit scenarios, and difficulties meeting procurement compliance requirements.

3. Referenceable solutions: Providers can learn from OFS's "4+1" strategy: build a closed end-to-end ecosystem with four core business pillars plus value-added financial services, and launch standardized solutions for different segmented scenarios to meet diverse client demands.

For industry practitioners operating B2B government and enterprise procurement platforms, this article shares the strategic layout and operation methods of a mature leading platform, with the following actionable insights:

1. Current changes in client demand: Government and enterprise clients now demand end-to-end integrated services from procurement platforms, rather than just simple transaction matching. Clients require both centralized procurement management for general MRO and office supplies, and digital solutions for specialized scenarios such as employee benefits, while requiring platforms to balance multiple goals including supply chain resilience, security, and sustainability.

2. Referenceable operational practices: Prioritize building an AI technology foundation, and self-develop AI procurement agents adapted for B2B scenarios to enable end-to-end intelligent operations that reduce costs and improve efficiency. Adopt a dual-supply strategy combining brand agency operation and customized private-label products to both expand platform product selection and build differentiated supply barriers. Build a national integrated intelligent warehousing and distribution network to enable 24-hour local delivery and solve the last-mile delivery problem.

3. Risk mitigation tips: Platforms should carry out technical upgrades related to large AI models in advance to keep up with the industry's human-machine collaboration trend, and avoid being phased out by the market due to technological backwardness.

For researchers focused on government and enterprise procurement and digital-intelligent supply chains, this article discloses the latest industry developments, innovative business models, and unresolved industry issues. Key takeaways are as follows:

1. New industry developments: Large model technology is driving deep transformation of traditional government and enterprise procurement supply chains. The industry has completed a transition from traditional offline procurement to digital procurement, and is now upgrading to an AI-driven digital-intelligent supply chain. Leading industry players have already begun transforming from transaction service platforms to industry-level digital-intelligent supply chain infrastructure platforms, which is the core new direction of current industrial development.

2. Innovative business models: This article introduces three market-validated innovative business models: the "4+1" closed end-to-end supply chain model, the new A2A human-machine collaborative procurement paradigm, and the B2B2C "547" scenario-based employee benefit service model. The employee benefit model has been implemented at a leading central state-owned enterprise, generating 116 million RMB in GMV for a single project and covering 75,000 end users, with its commercial value proven.

3. Unresolved industry issues: Traditional procurement models rely on manual collaboration, resulting in low efficiency and high error rates, with three long-standing core pain points: inefficient sourcing, non-transparent quoting, and inaccurate material matching. Digital-intelligent human-machine collaboration is widely recognized as the core solution direction for the industry.