EPG Aura Brings AI Into Warehouse Execution

At Modex 2026, EPG unveiled Aura, its AI‑powered execution layer that sits atop any warehouse management system. The platform earned the Logimat Best Product award and showcases a strategic partnership with NVIDIA, leveraging GPU‑accelerated inference to tackle real‑world challenges such as document digitization, workflow automation, and cross‑system orchestration. By combining a semantic brain with voice‑enabled picking, Aura transforms traditional WMS data into conversational insights, letting operators ask natural‑language questions and receive step‑by‑step guidance without leaving the floor.

Aura’s Observer suite replaces conventional OCR with Intelligent Document Processing (IDP), delivering a 95% recognition rate even on crumpled delivery notes. Integrated video analytics scan live camera feeds, flagging overcrowded aisles, dropped pallets, safety‑vest violations, and dwell‑time breaches in real time. Alerts appear as plain‑text notifications, and users can replay clipped footage to investigate incidents instantly. This visual intelligence, coupled with AI‑driven pallet counting and temperature‑controlled inventory monitoring, gives managers unprecedented visibility into both safety and operational efficiency.

Beyond detection, Aura drives engagement through gamified voice picking, turning routine tasks into friendly competition that lifts morale and improves retention, especially among digitally native workers. The Orchestrator component continuously correlates data from WMS, transportation management, and shipping systems, surfacing high‑risk orders and recommending corrective actions that require only a single human confirmation. By ingesting existing SOPs, user guides, and process documents, Aura becomes an on‑demand knowledge base, accelerating onboarding and reducing error rates. Together, these capabilities illustrate how AI‑enhanced warehouse execution is reshaping logistics, delivering faster decision‑making, higher productivity, and a safer work environment.