MyVeriMed is a web and mobile platform that secures the pharmaceutical supply chain by detecting and preventing anomalies so counterfeit, substandard, diverted, expired, or recalled medicines are identified before reaching patients.
It supports manufacturers, distributors/wholesalers, retail and hospital pharmacies, and public stakeholders (health authorities, customs, police as needed) with end-to-end visibility, product authentication, and full history at pack/box/carton/pallet levels.
The solution uses global standards (GS1) and unit-level datamatrix scanning, supports data aggregation via QR codes on cartons and pallets, and provides verification workflows for both professionals and patients.
AI/ML-driven anomaly detection triggers clear scan outcomes (e.g., multi-status color screens) and enables rapid reporting to authorities and relevant product owners, while also supporting stock management/forecasting use cases.
Security is designed with multiple layers, including a private blockchain component to strengthen integrity and trust in traceability data.
(1) align all stakeholders on a single data/serialization standard and scanning process (GS1 datamatrix + aggregation rules) before development,
(2) run a short pre-pilot to validate device/network constraints and user training needs,
(3) define alert/report workflows and ownership (who reacts, SLAs, escalation) upfront so anomaly detection translates into faster action.
