4.6
16 16 expert ratings
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4.5
4.5
4.5

OSA

AI And Blockchain In Retail

It’s built on the already proven OSA Hybrid Platform, which has successfully delivered its services to over 20 retailers and manufacturers in 3 countries. Contributors have already donated $4.2mln USD for the development and deployment of the platform. It has generated over $1mln USD revenue since its launch

Start in 5 Days 5 Hours
2018-07-21 - 2018-08-21
Token
OSA
Price
1 OSA = 0.0002 ETH
Tokens
1028571428
Token Type
ERC20
Hard Cap
40,000,000 USD
Platform
Ethereum
Distributed
22%
Minimum investment
1 ETH
Accepting
ETH, BTC, LTC
Pre ICO Start
2018-05-21
Pre ICO End
2018-07-03
ICO Start
2018-07-21
ICO End
2018-08-21
Country
British Virgin Islands
More on ICO
Report
OSA Decentralized (OSA DC) is the world's first decentralized AI-driven marketplace providing real-time solutions to retailers, manufacturers and consumers. OSA is a successful existing business established in 2015. We provide services for world leading consumer product retail and manufacturers, including Coca-Cola, PepsiCo, JTI, Mars, L'Oreal, Metro Cash & Carry, and many others. After two years of development in close partnership with ECR organization that unites more than 70 leading manufacturers and retailers, we developed proof of concept in 2016, and as of 2017 deployed OSA Hybrid Platform (OSA HP) - Big Data platform powered by AI that manages products optimal shelf availability in retail stores in real time. Optimal shelf availability is the biggest problem in global consumer retail, costing manufacturers and retailers 400 billion dollars in lost sales per year. It is caused by business processes' inefficiencies along the supply chain and in the retail stores. OSA HP integrates with the big data systems of the participating retail chains and then combines optical recognition and machine learning technologies to issue alerts to the in-store staff each time our algorithms discover there might be a problem with optimal shelf availability of the products being distributed by our clients.