Taking Retail AI to Drug Manufacturing
Using it’s Amazon-Go-like cashier-less AI proprietary technology, EdgePoint intends to address the human element in the drug manufacturing industry. Its TrustPoint product is designed to track men and materials with a camera grid and commit each transaction to a series of immutable blockchain records that are irrefutable permanent record of men and materials. The addition of blockchain technology, specifically our partner IBM’s version called Hyper-Ledger, enables manufacturers to conduct audits in a reliable and streamlined manner in a trustworthy system.
This automation of manual verification eliminates wasted and indeterministic human cycles. The product is a novel and potentially disruptive application of AI neural networks and blockchain to ensure compliance with drug sponsors and the FDA while ensuring a return on investment (“ROI”) for manufacturers by slashing labor costs.
The EdgePoint technology is already proven in the retail sector and generating revenues at a US east-coast, convenience store chain in partnership with IBM and its business partner Meridian IT. Meridian is a $0.5 billion systems conglomerate that ranked top-25 of managed services providers with 775 employees worldwide. The ceiling of the Amazon-Go retail store is a few hundred camera grid that track and shoppers with precision and monitor products they collect from shelves. When the shopper leaves the store, the AI automatically recognizes the shopper and items retrieved to issue a receipt. No human cashier is involved.
TrustPoint is a re-deployment of this type of tested technology for GMP drug manufacturing relieving human errors in supply chain and increasing compliance with warehouse operating procedures. For example, the warehouse module of TrustPoint will automatically create a shopping list from standard templates and alert supply chain personnel to collect and deliver a list of raw materials to manufacturing.
TrustPoint will track personnel authorized to collect materials of the shelves in compliance with picklist and generate alerts if the wrong materials are picked. It will commit the data to an immutable block chain ledger for later retrieval in case of compliance issues. Blockchain records are irrefutable and can be reproduced to trace with fidelity operating activities, e.g. authorized personnel, what they picked, who they delivered to with date and timestamps of each action.
In manufacturing plants, the implementation is even simpler Amazon-Go. The shoppers (supply chain personnel) are limited in number, not random and the raw materials are stable, and their shopping-list is automated by the machines that track the “shopping”. In this simplified version of Amazon-Go TrustPoint tracks supply chain personnel and monitors list of items collected from shelves. The automation is designed to reduce the overall human error element and increase compliance with standard operating procedures of the manufacturer, its customers and governmental oversight agencies.
Everything I say is in my opinion, do your own DD and make your decision wisely! Don't spend more then you can afford to lose!
