AromeOS
AromeOS connects end-to-end factory data in real time, eliminates human error, and improves cost efficiency through local AI.
Problem statement
Sima Arome's factory operations are still manual, paper-based, and fragmented, causing data silos, human error, QC bottlenecks, disconnected PPIC scheduling, and reactive cold-chain monitoring.
Use case & business challenge
Factory teams use one smart dashboard to manage inbound receiving, AI-assisted QC, PPIC scheduling, warehouse placement, dispatch, and admin oversight from a single operational core.
Proposed solution
A manufacturing intelligence platform that unifies receiving, AI-QC, PPIC, smart warehousing, dispatch, and admin dashboards into one real-time operations core with local image classification, AWS Bedrock-powered chatbot and shift summaries, and IoT-style temperature monitoring.
What's next
Beta testing and on-site calibration in Q3 2026, IoT edge features in Q4 2026, then supplier-network scaling with SAP/MS Dynamics ERP sync and a mobile Supplier Pre-QC App by Q1 2027.
Screenshots & visual references
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