华为云盘古大模型驱动企业搜索 助力齐心集团共筑智能新时代

This article shares the on-ground practice of large language models (LLMs) in B2B e-commerce disclosed by Comix Group, a leading B2B government and enterprise procurement player, at Huawei Developer Conference 2024. It delivers valuable insights into real-world AI industry applications and actionable takeaways for digital transformation.

1. Core event information: Huawei Developer Conference 2024 was held in Dongguan from June 21 to 23 under the theme "Smart Synergy, Co-Create the Future". The conference showcased the new HarmonyOS NEXT and the latest progress of the Harmony ecosystem, gathering global industry elites to share technological advances and application outlooks in cloud computing, AI and other fields.

2. Actionable takeaways: As a listed industry leader with over 30 years of experience in government and enterprise procurement, Comix Group has leveraged Huawei Cloud Pangu LLM's KooSearch solution to upgrade personalized product recommendations and its ability to handle complex supply chain operations. It has also rolled out AI applications across multiple scenarios including intelligent customer service, marketing content generation and supply chain analysis, providing a replicable reference path for intelligent transformation of physical enterprises.

This article offers B2B brands a complete case study of intelligent upgrading from an industry leader, with multi-dimensional insights on service and business optimization.

1. Demand and trends: Today's B2B clients are no longer satisfied with traditional one-stop procurement; they increasingly expect personalized, precise and intelligent service experiences. Brands need to lay out intelligent upgrades early to adapt to shifting demand and keep up with market development.

2. Directions for business upgrading: Brands can leverage LLM technology to optimize core operations. On one hand, they can improve the accuracy of product recommendations to boost user experience; on the other hand, they can enhance supply chain forecasting and decision-making capabilities to improve market response efficiency. They can also expand intelligent services across scenarios such as customer service, content marketing and data analysis to enrich their brand value proposition.

3. Reference for cooperation models: Brands can partner with leading LLM service providers to lower the barrier to AI implementation with mature off-the-shelf solutions. The cooperation model between Comix and Huawei Cloud offers a valuable reference for peer brands.

This article discloses new growth opportunities for B2B sellers in the LLM era and provides actionable guidance for business upgrading.

1. Opportunity and trend outlook: AIGC and LLM technology have now entered formal commercial deployment in B2B e-commerce, boosting efficiency and improving user experience across multiple business links. It is a new track for sellers to build differentiated competitiveness and unlock new growth, making it a high-priority area for布局.

2. A learnable implementation path: Sellers can start from core business links, first optimizing product recommendation and supply chain management with mature LLM solutions to see tangible improvement quickly, then expanding to customer service, marketing, decision analysis and other scenarios gradually to reduce trial-and-error costs during transformation.

3. Reference for cooperation experience: Sellers can partner with established LLM service providers like Huawei Cloud to deploy AI applications quickly based on mature solutions, eliminating the need to build an in-house tech team from scratch and significantly lowering the threshold and cost of intelligent upgrading.

This article provides actionable insights on digital upgrading and business expansion for ToB-focused manufacturing factories.

1. Business opportunity outlook: Leading downstream B2B procurement players have already completed intelligent platform upgrading, enabling more accurate demand matching and more efficient supply chain connectivity. Factories can proactively connect with these intelligent platforms to access more stable, precisely matched corporate client orders and effectively expand their B2B business channels.

2. Insights for digital transformation: Factories can also adopt LLM technology to optimize their own supply chain management, improve demand forecasting accuracy, strengthen responsiveness to market changes, boost overall production decision efficiency, and reduce operational risks such as excess inventory.

3. Insights for B2B e-commerce cooperation: By accessing intelligent B2B service platforms, factories can leverage the platforms' intelligent customer acquisition and service capabilities to cut their own operational costs for serving corporate clients and improve service efficiency. The platforms' digital capabilities can also drive factories' own digital and intelligent transformation in return.

This article delivers insights on industry demand and implementation directions for AI and enterprise service providers.

1. Summary of client pain points: There are multiple common pain points across the ToB enterprise service sector, including inaccurate product recommendation, high complexity and difficulty of supply chain management, and high labor costs with low efficiency across business links. A large number of traditional ToB enterprises have demand for intelligent upgrading, creating a huge untapped market.

2. Industry development trends: LLM technology has moved beyond the concept phase to deployment in specific business scenarios of vertical industries. Demand for intelligent upgrading from traditional enterprises is growing rapidly, and AI implementation services for vertical ToB sectors will become the core growth driver for the industry going forward.

3. Solution reference: Service providers can learn from Huawei Cloud Pangu's KooSearch model, building mature solutions tailored for core business scenarios in vertical industries to help enterprises deploy AI applications quickly. This approach covers demand across multiple scenarios including product recommendation and supply chain optimization, and improves solution adaptability.

This article provides actionable insights on intelligent upgrading and operation optimization for B2B industrial service platforms and other platform operators.

1. Summary of shifting demand: Corporate clients' demand for B2B procurement platforms has shifted from basic one-stop procurement services to personalized, intelligent end-to-end services. Platforms must accelerate AI upgrading to keep up with client demand and maintain market competitiveness.

2. Reference for platform upgrading paths: Instead of developing LLMs from scratch, platforms can partner with established LLM service providers to introduce mature industry solutions and deploy AI applications quickly. They can prioritize upgrading core links including product recommendation and supply chain management, then expand to other scenarios gradually to reduce upgrading risks.

3. Insights for operation and merchant recruitment: After completing intelligent upgrading, platforms can improve overall service efficiency and client experience, enrich service scenarios, attract more upstream and downstream industry service providers and suppliers to settle in, further improve the platform ecosystem, and boost the platform's overall profitability.

This article provides researchers of industrial digitalization and AI implementation with the latest industry trends and a real-world case study, with rich actionable insights.

1. Latest industry trends: The industrial implementation of AI large models has expanded from the consumer end to traditional B2B government and enterprise services. Leading domestic B2B procurement platforms have already deployed large models across multiple core business links, verifying the application value of LLMs in the B2B sector. Industrial digital transformation has entered a new phase of AI empowerment.

2. Observations on business model innovation: Traditional B2B e-commerce platforms can leverage large models to expand beyond basic transaction matching services into intelligent decision-making, intelligent content services and other areas. This expands the platforms' value space and gives rise to new business models and profit streams.

3. Reference for cooperation model research: The "Huawei Cloud provides LLM technical capabilities + Comix Group drives vertical industry scenario implementation" cooperation model disclosed in this article verifies the feasibility of AI implementation through partnerships between technology providers and vertical industry platforms, providing a real-world first-hand sample for research on industrial digital transformation paths.