From July 6th to 8th, the 2023 World Artificial Intelligence Conference (WAIC), themed "Intelligent Connectivity, Creating the Future," was held in Shanghai. As one of the largest annual technology-themed conferences and exhibitions in China, the conference focused on cutting-edge trends and innovative achievements in the field of artificial intelligence, jointly exploring a new future for industrial development. Huang Xiang, Vice President and General Manager of the Industrial Line Business Unit of Sugon Technology , was invited to attend the "AI Commercial Implementation Forum," sharing insights on how intelligent decision-making technology can empower the growth of the manufacturing industry. Meanwhile, Sugon Technology, based on its excellent industry application capabilities and value, was selected for the EO Intelligence "High Investment Value Comprehensive Scenario Service Provider List" and the "Artificial Intelligence Full Industry Chain Map." Cordless Vacuum Cleaner China
Huang Xiang, Vice President and General Manager of the Industrial Line Business Unit of Sugon Technology, delivered a speech at the "AI Commercial Application Forum".
At this year's WAIC conference, the commercialization of large-scale AI models became a hot topic. Huang Xiang believes that solving large-scale models requires the support of core optimization technologies. In the industrial sector, where production and operation scenarios are complex and data volumes are massive, intelligent decision-making will play an increasingly important role in the application of integrated industrial large-scale models across the entire value chain .
Management is transforming into a complex capability network ; intelligent manufacturing requires integrated AI decision-making.
With the coordinated development of multiple industries, power transmission networks are transmitting electricity from upstream energy sources such as thermal power plants, new energy plants, and wind and solar power to various sectors . Cross-industry and cross-scenario integration and lean management are becoming an inevitable trend. The previous single-line management approach is transforming into a complex end-to-end management model encompassing strategy, market, marketing, manufacturing, and raw materials, requiring more efficient and high-quality decision-making across all aspects of the enterprise. Focusing on strategic, operational, and profit objectives, manufacturing enterprises need integrated AI-driven decision-making.
Behind intelligent decision-making lies a universal paradigm from input data to constraints and optimization goals. This paradigm applies to all artificial intelligence models. If the input data for a large language model is chat logs, then the input data for a manufacturing industry model is the entire chain of data and constraints, from sales and production to raw materials—this is a company's core asset and core competitiveness.
In the industrial sector, Sugon Technology has created the Industrial Intelligent Manufacturing Decision Optimization Platform – Data Game, which covers enterprises' decision optimization needs in areas such as operational optimization, collaborative manufacturing, order optimization, and material coordination. From the enterprise's front-end customer perception to production supply and material coordination, and finally to the delivery of finished products to the customer, it includes not only single-point optimization but also integrated optimization across the entire chain. Through end-to-end collaborative optimization, it helps enterprises promote the implementation and application of large-scale industrial models.
Sugon's intelligent decision-making solutions bring quantifiable value to the high-quality development of the manufacturing industry .
Truly excellent technology should have quantifiable commercial value. The intelligent decision-making solutions provided by Sugon Technology are always guided by quantifiable value, and can be quantified using typical operational indicators such as order volume, work efficiency, and inventory levels.
For example, empowering demand planning scenarios can improve forecast accuracy establishing an information loop for demand planning and execution. Empowering inventory and replenishment planning scenarios includes automatic replenishment and multi-level inventory replenishment, encompassing multiple modules such as scientific calculation of replenishment points, replenishment quantities, and inter-warehouse allocation optimization, which can reduce inventory costs while maintaining service levels. Empowering master production planning scenarios allows for the development of modular algorithm configuration schemes for different planning granularities and business decision-making scenarios, helping enterprises quickly formulate production scheduling plans under different business objectives. Simultaneously, Sugon Technology also links demand, inventory, and master planning optimization modules with the entire supply chain, including energy, production, and sales networks, helping enterprises truly achieve end-to-end collaborative optimization. Taking a chemical company as an example, Sugon's end-to-end intelligent decision-making platform constructs a comprehensive model encompassing operations, orders, and collaboration, comprehensively optimizing the efficiency and quality of each link, achieving an 8% increase in sales fulfillment rate and a reduction of tens of millions in inventory capital.
Its outstanding industry application capabilities and value have earned it a place on the list of high- investment-value comprehensive scenario service providers.
Currently, Sugon's intelligent decision-making solutions have been widely applied to hundreds of leading companies in dozens of industries, including industrial manufacturing. With strong solution capabilities and rich application experience, Sugon is injecting growth momentum into the development of multiple industries.
In the "2023 China AI Commercialization Investment Value Research Report" released at the conference by EO Intelligence , Sugon Technology was selected as one of the "High Investment Value Comprehensive Scenario Service Providers" for AI commercialization and as part of the "Artificial Intelligence Full Industry Chain Map".
The report points out that China's AI market has moved from a "technology-driven" to a "value-driven" stage, with mature scenarios emerging in various sub-sectors, and the comprehensive value that AI technology brings to downstream enterprises is becoming increasingly apparent. As intelligent decision-making technology accelerates its penetration into various fields, Sugon Technology will further accelerate the large-scale application of its technologies in various scenarios, continuously unleashing the potential of its years of accumulated technology, products, and solutions, fully stimulating data value, and helping more enterprises achieve efficient and high-quality growth.
