Blockchain-Driven AI Platform Vows to Solve $500 Billion Issue for the Retail Industry

Veröffentlicht auf by Cointele | Veröffentlicht auf

Erwähnt in diesem Artikel
A platform is combining "Cutting edge" artificial intelligence with the "Immutable reliability" of blockchain to create a system where retailers and manufacturers can predict whether they are overstocking or understocking products - an issue estimated to cost the industry $500 bln a year.

OSA DC, which stands for Optimal Shelf Availability Decentralized, says its system allows major brands and smaller chains to track product stock, inventories and orders with "Pinpoint accuracy."

OSA DC says this will create a new era of retail where "Smart consumers" can make intelligent decisions and enjoy the same level of influence as the manufacturers and retailers who receive their hard-earned cash.

The principle of preventing overstocking would also be applied to OSA DC's consumer-facing system - and in time, the company believes its AI-driven digital assistant could help shoppers manage their purchases and reduce domestic waste.

Based on a successful platformOSA DC says its ecosystem is based on a hybrid platform which has already generated $1 mln in revenue and enjoyed success with 20 manufacturers and retailers.

According to OSA DC, its blockchain-based platform and utility token satisfies Vitalik Buterin's standard of a good project, with the company adding that it is holding an "ICO with purpose."

Addressing another issue which Mr. Buterin says is a fatal flaw in crypto-based start-ups, OSA says the promise and clarity of its business model is illustrated by the success it has enjoyed to date.

OSA DC's network is going to be maintained through additional upkeep and transaction fees.

Its services would be used to build OSA DC's image recognition software, allowing its AI systems to control responses in real time to predict availability for shoppers at the store.

Registration for the whitelist of OSA's token sale began on March 20 and closed on May 15.

x