Willog raises Series B-2 for AIoT supply chain intelligence

Willog has secured Series B-2 investment to expand AIoT-based supply chain intelligence across condition-sensitive logistics networks.


IN Brief:

  • Willog has raised Series B-2 funding from seven investors across Korean and global markets.
  • The platform combines IoT sensors, AI analysis, and cargo condition data across warehouse, road, ocean, and air logistics.
  • The company is targeting expansion across North America and Asia, including the United States, Singapore, and Japan.

Willog has secured Series B-2 investment to accelerate the global expansion of its AIoT-based supply chain intelligence platform.

The round is backed by seven investors across Korean and global markets, including KB Investment, SGC Partners, Sneakpick Investment, IBK Capital, Re-Investment, Muirwoods Ventures, and Big Basin Capital. The funding will support expansion across North America and Asia, including the United States, Singapore, and Japan.

The company’s platform combines proprietary IoT sensors with AI-powered data analysis to monitor logistics events and cargo conditions. It captures temperature, humidity, shock, tilt, and light data, then turns those readings into alerts, action workflows, diagnostics, and predictive risk analysis.

Willog has built its platform around the transition from shipment visibility to supply chain intelligence. The system starts from the warehouse and connects warehouse, trucking, ocean, and air logistics on a shared data foundation. The company has reached Series B-2 in less than five years and now serves more than 200 global enterprise customers.

Condition-sensitive logistics is becoming one of the most demanding areas of supply chain technology. Location tracking alone cannot show whether a product has been damaged, exposed to heat, tipped, opened, delayed in poor conditions, or mishandled during a transfer. Physical condition data gives operators a more complete view of what happened during the journey and where intervention is needed.

The platform sits in a market where AI tools are moving closer to live operations. The quality of AI output depends heavily on the quality of input data, and logistics operations have often struggled with fragmented records, manual updates, and missing event detail. Sensor-based systems create a stronger operational layer because they capture physical events directly from the cargo environment.

That capability is increasingly important for pharmaceuticals, electronics, food ingredients, batteries, chemicals, and other high-value or sensitive goods. Temperature deviation, shock damage, or exposure during transport can create product loss, compliance risk, and customer disputes. Earlier alerts and better diagnostics allow logistics teams to intervene before damage becomes unrecoverable or before evidence is lost across multiple handovers.

Willog’s focus on warehouse-origin monitoring also addresses a common blind spot. Many visibility systems begin once a shipment is already moving, but quality failures can start during staging, loading, temporary storage, or collection. Extending monitoring from the warehouse through each logistics mode gives operators a cleaner chain of custody across the full journey.

The funding will support Willog as it moves into larger international markets where visibility, risk management, and logistics control are becoming board-level concerns. South Korea’s electronics, manufacturing, and cold-chain sectors have created a strong domestic base for precise logistics control, while disruption across global supply chains has increased demand for more reliable operational intelligence.


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