The emergence of ChatGPT has pushed natural language processing (NLP) technology to new heights, significantly shortening the distance from question to answer through conversational artificial intelligence (AI). In 2016, Synergies, a Chinese conversational analytics platform, was launched, taking the lead in the market. It focused on the manufacturing industry, using NLP to help frontline workers with data analysis and process optimization, identifying key factors from thousands or even millions of conditions.

However, according to Synergies' founder and CEO, Chang Tsung-yao, while ChatGPT can automate many tasks through generative AI, and some users use it for programming, it cannot yet replace frontline engineers on the production line. ChatGPT is still mainly focused on question-and-answer, and it may take some time and pass the Turing test before it can handle numerical analysis and parameter optimization tasks with an extremely low error rate. But Chang revealed that the underlying technology logic is different, making it a very challenging task.

Although it has not really entered the field of analysis, Chang said that NLP technology can still help users automate data queries, and he is optimistic that this technology will be widely used in various industries. However, the application of NLP in manufacturing is even more unique. In addition to automating text generation, manufacturing is more concerned with how to automate problem detection, find key factors, and further optimize processes. This is also one of the reasons why Synergies plays an important role in the smart manufacturing market.

Synergies was founded in Boston, USA, in 2016, with its core AI technology originating from the Massachusetts Institute of Technology (MIT). The JarviX data analysis full-process platform launched by Synergies enhances analysis technology through AI, reduces the threshold for big data analysis, and uses no-code throughout the entire process. After all, in the past, production parameter analysis and IT systems were two different units in the manufacturing site. One of the obstacles to digital transformation was the communication barrier, with misunderstandings often occurring between the two units. If the operation side can convert the indicators that need to be monitored in daily work into analysis rules and build AI models without technical background, they can directly participate in the analysis process, reducing many obstacles.

Currently, JarviX is available in Chinese conversational interface and can help frontline workers perform data analysis and process optimization directly through typing and answering questions, solving the problem from detecting abnormalities to process optimization and accelerating management efficiency. Synergies currently provides predictive maintenance for quality management, automatic root cause analysis, supply chain quality analysis modules, as well as automated quoting and demand planning modules for supply chain management. Recently, it launched an SMT decision-making solution for the electronics manufacturing services (EMS) industry.

Jerry Chang , head of the SMT business unit at Advantech UPTRON TECHNOLOGY INC., said that as the global consumer electronics market becomes saturated, EMS profits are gradually shrinking, and some small and medium-sized manufacturers are even facing severe pressure.

In 2022, Ruijun Technology successfully entered the supply chain of a top-tier Japanese automaker, with a focus on risk diversification. The automaker places great importance on product traceability, and for suppliers, meeting quality and process management requirements while complying with the IATF16949 standard is a top priority.

There are many factors that can impact process management, such as the pressure of frequent line changes, equipment maintenance, optimization of utilization and production issues. UPTRON TECHNOLOGY INC. uses JarviX to seamlessly integrate the entire supply chain, from material preparation to production and shipment, allowing customers to trace products directly through the vast data when they discover problems. This not only significantly enhances customer satisfaction but also solidifies UPTRON's position as a major supplier.

Currently, Synergies  has expanded its applications across multiple industries, including manufacturing, finance, retail, and energy, and has a close collaboration with Foxconn. It has previously helped a Foxconn plant save approximately RMB 2 million in costs in one year, with a saving of RMB 1.2 million on human resources alone. In addition to Foxconn, its customers include Epistar Corporation, Advantech, CTBC Financial Holding, and Fubon Financial Holding.