Market Cap: $141 646 067 091 (1.46%)
  • Volume 24h: $33 361 530 940 (23.55%)
  • Market Cap Change 24h: 1.46%
  • BTC dominance: 50.82%

Optimal Shelf Availability Token

Top Optimal Shelf Availability Token Exchanges
  1. Bibox Bibox (92%)
  2. CoinEgg CoinEgg (8%)
All OSA Exchanges →
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Optimal Shelf Availability Token OSA

Bringing the power of AI analysis to the blockchain marketspace

A working concept for a decentralized market space designed to bring together blockchain's security and efficiency with AI-based problem solving.

Token Blockchain: Ethereum CMC Rank: 296
  • USD: $0.010
    1h: 0.35% 24h: 3.18% 7d: 9.83%
  • BTC: 0.0000025 BTC
  • ETH: 0.000072 ETH
All Time High: $0.17 4 months ago
Current price is -94 % from ATH
Market
  • Cap: $8 714 662
  • Vol 24h: $1 110 039 (12.74 %)
Supply
  • Circulating: 862 750 737 OSA (14.9 %)
  • Total: 5 777 223 968 OSA

Top Optimal Shelf Availability Token Exchanges
  1. Bibox Bibox (92%)
  2. CoinEgg CoinEgg (8%)
All OSA Exchanges →

Optimal Shelf Availability Token Price Chart

About Optimal Shelf Availability Token

This is the project designed specifically to provide the most efficient and brilliant solutions to the Optimal Shelf Availability problem to all of the usual market participants: the manufacturers, their retailers, and, of course, the client base. OSA will be based on a brand new blockchain, in order to use their advantages as complete security, transparency, and transaction speeds at full potential. The whole problem is the following: due to the inefficiency of the current system dealing with optimal shelf availability, the companies around the world lose billions upon billions of dollars every year for goods that were not sold. In the traditional marketplace, there is simply no way to avoid certain product being out of stock, which means that a consumer is looking for a product that does not exist in a condition, form, size, etc., that the consumer needs. So OSA team is developing an AI capable of analyzing all information from thousands of retailers and manufacturers, coupling that with the information on consumer habits, providing timely notices every time certain products are about to be in demand, yet out of stock.

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