CAS Corporation, a South Korean manufacturer of electronic weighing equipment founded in 1983, selected artificial intelligence enterprise software provider NEWWORK Software to connect its commercial and operational systems.
The manufacturer plans to deploy the NEWWORK Digital Workforce Platform to monitor its order-to-delivery processes. CAS supplies scales, load cells and commercial solutions to customers in more than 120 countries across the retail, agriculture, food processing, logistics and industrial markets.
“As an international company, we serve customers across many regions and cultures, so we need a platform built for a truly global business,” said Taein Kim, CEO, CAS Corporation. “NEWWORK's team of experienced experts understands the fundamentals of CRM and ERP and has reimagined them with AI. The platform's AI-native approach will benefit our management, our salespeople and, most importantly, our customers, through better communication.”
The software implementation begins with a pilot phase linking the company's purchasing, production, supply chain, inventory, logistics and sales systems. By running above existing business applications, the platform creates an operating layer that makes corporate data accessible to human employees and autonomous software agents. The architecture consolidates information to assist with pipeline calculations and delivery forecasting.
“Enterprises understand that they need an operating layer that actually executes work across the systems where the work happens,” said Michael Jaszczyk, CEO, NEWWORK Software. “CAS knows that becoming an AI-enabled manufacturer requires far more than adding technology on top of yesterday’s processes. We are proud to partner with a global leader that shares our conviction that AI should be at the core of how a modern organization operates and serves its customers.”
The deployment utilizes an integrated Agent Operating System, an intelligent integration layer and specific customer workflows to track supply chain volatility. When the software detects material shortages, production delays, delivery schedule changes or inventory shifts, it interprets the event and recommends specific actions to mitigate the impact on order fulfillment. This capability replaces manual data reconstruction to resolve operational bottlenecks across disparate commercial applications.
