AromaSys
Centralized AI-assisted dashboard for Sima Arome operations.
Problem statement
Sima Arome's operations are inefficient, error-prone, and slow because operational data is scattered across manual data entry, manual QC bottlenecks, spreadsheet tracking, and scattered history.
Use case & business challenge
A Sima Arome operations team uses AromaSys as a centralized dashboard to digitize files, monitor inventory and cold-chain conditions, run AI quality control, view warehouse digital twins, and ask an AI copilot for operational context.
Proposed solution
A centralized AI-assisted operations dashboard that combines smart data ingestion, integrated operations, AI-powered quality control, smart warehousing, cold-chain monitoring, an interactive digital twin, live telemetry, and an AI copilot chatbot into one unified system.
What's next
Phase 1 focuses on hardening and beta testing through a live pilot, mobile edge usage, live IoT scaling, and automated CI/CD. Phase 2 adds domain-trained vision QC and end-to-end predictive tracking. Phase 3 scales the platform with offline-first edge resilience and a distributed multi-site topology for multiple Sima Arome facilities.
Screenshots & visual references
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