Controme
QC that speaks in numbers, records that last forever, that's Controme.
Problem statement
Sima Arome's extract and powder QC relies on subjective eye-based inspection, double data entry, WhatsApp-based manual clearances, fragmented visibility, and no centralized audit trail for buyer requests.
Use case & business challenge
A QC operator uploads a powder sample photo from a lab tablet, the server analyzes the image, stores the PASS/REJECT verdict permanently with lot data, and updates PPIC and manager dashboards in real time.
Proposed solution
An AI-powered colour QC and lot traceability platform that replaces manual colour inspection with objective server-computed CIELAB and Delta E measurements connected to lot records, audit trails, and PPIC scheduling.
What's next
Expand from visual QC into automated contaminant detection, CIE2000 colorimetry, aroma/nose-test sensing, Tournaire machine integration, cold-chain monitoring, unified warehouse mapping, automated scheduling, demand forecasting, and adaptive thresholds.
Screenshots & visual references
More from the library
View all
AromeOS
AromeOS connects end-to-end factory data in real time, eliminates human error, and improves cost efficiency through local AI.
BatchNexus
BatchNexus helps Sima Arome input once, trace everything, slot safely, and answer operational questions instantly.
Aroma Vault AI
Next-generation predictive warehouse logic and ambient cold-chain intelligence for safer batch storage.