WILLOG raises Series B-2 investment to advance AI-based supply chain intelligence
The AMW Read
WILLOG is a known player in supply chain AI; the Series B-2 is an incremental update with no disclosed amount, adding to a crowded space.
WILLOG raises Series B-2 investment to advance AI-based supply chain intelligence
South Korean AIoT supply chain intelligence company WILLOG has raised a Series B-2 investment round. The amount was not disclosed. The company provides solutions that combine self-developed IoT sensor devices with AI to collect and analyze data across the entire supply chain. It collects real-time cargo data including temperature, humidity, shock, tilt, and light, and has built a five-stage intelligence system covering visibility, precise diagnostics and alerts, real-time response, data-driven supply chain improvement, and AI risk prediction. The funding will be used to advance predictive AI algorithms, including simulating risks from specific weather conditions or routes and recommending packaging and transport partners to minimize loss rates.
WILLOG's solution has been deployed in Hyundai Glovis export logistics and military supply transport for the Republic of Korea Army. It has secured a supply contract with the Army General Supply Depot, been selected for the Public Procurement Service G-PASS program, and received a Presidential Commendation. The company has maintained a 0% customer churn rate for five consecutive years and is expanding into global markets including the US, Singapore, and Japan.
This investment highlights the growing demand for verticalized AI solutions in supply chain intelligence, a space still reliant on fragmented legacy systems. WILLOG's zero-churn record and government contracts suggest strong product-market fit in a segment where trust and reliability are paramount. The focus on predictive risk and damage reduction — as opposed to mere tracking — signals a maturation of AIoT applications in logistics. Investors appear to be betting that domain-specific intelligence platforms can capture durable value even as broader AI infrastructure investments remain heavy.