The updated OPUS platform enables teams to build specialized digital agents using natural language, effectively bypassing traditional software development. By utilizing the company’s proprietary Melody scripting language, these agents interpret business rules and policies to manage workflows across suppliers, logistics providers, and internal systems. According to CEO Shabbir Dahod, the goal is a hybrid operating model where human oversight governs autonomous agents, allowing companies to scale execution without a linear increase in manual labor.

TraceLink’s approach centers on the Integrate-Once™ network, which connects over 315,000 authenticated entities to provide the data context necessary for AI decision-making. The platform aims to resolve supply chain disruptions by prioritizing tasks and automating routine coordination. Organizations utilizing these tools report potential productivity gains of up to 50% and inventory reductions of 30%, shifting the focus of human staff toward higher-value strategic initiatives while maintaining auditability and control over mission-critical processes.