SIJE: Agentic AI & Ontology Supply Chain Redefines Apparel

SIJE is set to debut its new supply chain platform at VivaTech 2026 in Paris. This platform features Agentic AI and a 470,000-class ontology. What's interesting is this technology aims to redefine standards in the global apparel OEM industry. It creates an automated, end-to-end data pipeline from factory floors to brand headquarters. This targets inefficiencies in the two trillion dollar garment manufacturing market. The platform resolves data fragmentation with the apparel industry's first Manufacturing Knowledge Graph. This graph includes over 470,000 process classes. It maps worker skills, fabric attributes, and machine behaviors into a 16-dimensional vector space. This allows manufacturers to predict production timelines with greater accuracy. The system uses a three-part data architecture. Monolog, an IoT edge device, monitors sewing machines. Monolis, a cloud-based iPaaS web application, integrates data from Monolog and factory databases. The intelligence layer, Tense AI, is an autonomous agentic platform with seven specialized AI agents. These agents cover ordering, production, quality, materials, delivery, forecasting, and validation. The bottom line is this technology could significantly change how global apparel manufacturing operates, leading to more efficient and predictable production.