三横科技：三商一体+八爪鱼智能采购解决方案，构筑完整闭环供应链服务生态

This article introduces the core business model and product offerings of Sanheng Technology, a domestic player in the digital intelligent procurement service sector, with key takeaways as follows:

1. Sanheng Technology was selected for its digital intelligent procurement solution into the "2026 Development Report on Digital Intelligent Procurement" co-published by Yibang Think Tank and the China Federation of Logistics and Purchasing as an annual solution and technology service provider. Its core business model integrates technology development, platform operation and product supply, giving it clear differentiated advantages over standalone technology or supply-only service providers.

2. The company has developed its Octopus Intelligent Procurement Solution, built on a self-developed AI-native underlying architecture that abandons the traditional BPM process framework. It leverages multiple AI agents to resolve common industry pain points such as inconsistent product coding for identical items and messy parameter descriptions, enabling a fully automated closed-loop end-to-end procurement process that helps enterprises cut costs and improve efficiency.

3. It offers two core product engines: a B2B mall system and an SRM intelligent procurement system, which are tailored for collective procurement by central state-owned enterprises and production procurement by manufacturing enterprises respectively. The two products can be deployed independently or in combination to meet one-stop demands for enterprises' digital intelligent supply chain development.

This article outlines the latest developments and leading service provider models in the digital intelligent procurement sector, offering valuable insights for brand owners expanding B2B businesses, with key takeaways as follows:

1. B2B digital intelligent procurement has become an established trend, as central state-owned enterprises and large and medium-sized manufacturing enterprises are accelerating their procurement digital transformation, generating massive stable bulk procurement demand. This creates broad growth space for B2B brands, which can open up new B2B sales channels by partnering with professional digital intelligent procurement platforms.

2. Sanheng Technology's supply division holds a catalog of over 10 million SKUs covering 10 major procurement categories, and has incubated two in-house brands, capable of meeting both standardized collective procurement and non-standard special material demand. This provides a useful reference for brand owners designing B2B product lines: they need to balance standardized offerings and customization for special scenarios.

3. By partnering with digital intelligent procurement platforms, brand owners can leverage the platforms' AI capabilities to optimize supply chain management, improve delivery efficiency, cut operating costs, and better meet B2B customer demand.

This article discloses the latest developments in the B2B digital intelligent procurement track, providing insights into market opportunities and risks for B2B material sellers, with key takeaways as follows:

1. An increasing number of central state-owned enterprises and large and medium-sized manufacturing enterprises are advancing procurement digital transformation, driving strong demand for compliant, stable, full-category material supply. The digital intelligent procurement track is a growing market that creates clear growth opportunities for all types of B2B material sellers.

2. Sellers can partner with integrated digital intelligent procurement service providers like Sanheng Technology. Leveraging the platform's customer resources and operational capabilities, sellers can accurately connect with the procurement demand of leading enterprise clients, reduce customer acquisition costs, and scale their B2B business.

3. Sellers should pay attention to industry risks: the traditional single supply model is no longer competitive. To capture industry dividends and secure long-term stable orders, sellers need to adapt to the new rules of digital intelligent procurement and improve their data standardization and digital service capabilities.

The digital intelligent procurement solution introduced in this article provides clear direction and reference for factories advancing procurement digital transformation, with key takeaways as follows:

1. Production material procurement for factories involves multiple links from demand reporting, source selection and price comparison to supplier management. Traditional procurement models are prone to process chaos, inconsistent coding for identical items, mismatched parameters and hard-to-manage supplier risks, making digital transformation an inevitable trend.

2. For large manufacturing enterprises, mature SRM intelligent procurement systems are already available that fully cover the entire end-to-end production material procurement process and enable full-lifecycle supplier management. They also use AI agents to unify data standards, resolve many pain points in production procurement, and help factories standardize procurement processes, cut costs, improve efficiency and control risks.

3. Factories do not need to build their digital procurement systems from scratch. They can adopt mature one-stop services that cover everything from system development, platform operation and maintenance to material supply, which speeds up digital transformation and reduces transformation costs.

This article clearly outlines industry trends and customer pain points in the digital intelligent procurement service sector, offering valuable references for peer service providers, with key takeaways as follows:

1. Digital intelligent procurement has now entered a new stage driven by AI-native technology. Enterprise client demand has shifted from standalone software output or supply-only services to end-to-end integrated services covering technology development, platform operation and material fulfillment, making full-link integrated services the future industry trend.

2. The core pain points for enterprise clients include inconsistent coding for identical items, messy parameter descriptions, low procurement process efficiency, and difficult supplier risk management. Demand also varies significantly across scenarios: central state-owned enterprises prioritize group-level collective procurement and industrial resource integration, while manufacturing factories prioritize end-to-end production procurement management.

3. Service providers can learn from Sanheng Technology's integrated "three-in-one" model that combines technology, operation and supply to build a mutually empowering service system, develop differentiated solutions based on an AI-native technology architecture, match corresponding products to customers in different scenarios, and build their own competitive advantages.

The business model of Sanheng Technology introduced in this article provides operational and development references for platform operators building digital intelligent procurement services for enterprises, with key takeaways as follows:

1. Current enterprise demand for digital intelligent procurement platforms has shifted from single-function system tools to one-stop end-to-end services. Platforms that only offer services for a single link can hardly build competitiveness, and need to integrate capabilities across technology, operation and supply to meet customers' full demands.

2. Platforms can adopt Sanheng's dual-engine product layout strategy: develop scenario-adapted products for the two core customer groups of central state-owned enterprise groups and manufacturing factories respectively, supporting both independent deployment and combined linkage to meet diverse customized customer demands.

3. Platforms need to increase R&D investment in AI technology, use AI agents to resolve core pain points across the entire procurement link, and integrate supply chain sources to cover multiple categories of materials, meet both standardized collective procurement and special scenario sourcing demand, and avoid customer churn caused by insufficient single-capability.

This article presents the latest industry developments and innovative business models in the current digital intelligent procurement sector, offering high reference value for industrial research, with key takeaways as follows:

1. A clear new technological trend has emerged in the digital intelligent procurement sector: the industry is shifting from traditional procurement systems based on BPM process frameworks to new solutions driven by AI-native architecture. New solutions enable dynamic, autonomous, real-time process scheduling, with multiple AI agents running through the entire procurement process to resolve the long-standing data standardization pain point that could not be solved by traditional models, driving industry-wide upgrading through technological iteration.

2. Business model innovation has also emerged: Sanheng Technology has launched a closed-loop "three-in-one" business model integrating technology, operation and supply, which differs from traditional single technology service providers or trading service providers. The three business segments empower each other to create clear differentiated competitive advantages, making it a noteworthy new model in the B2B enterprise service sector.

3. At the industry level, leading enterprises' demand for digital intelligent procurement has shifted from single system construction to end-to-end integrated services, driving clear industry consolidation trends. Integrated digital intelligent procurement solutions will become the mainstream direction of the industry in the future.