Topic: Efficient eCommerce marketplaces with Three Protocol $THREE (Read 84 times)
Three Protocol is shaping well and in right direction ⬆️
We all know finding the right staff/job, product or service involves endless scrolling or sifting through irrelevant profiles, CVs and products etc.
This is today’s eCommerce world.
Three Protocol is changing how individuals interact with online marketplaces by using AI.
Now let's use Jobs3.io as an example of how a digital marketplace should work.
Employers simply input their job requirements into the NNAI. It swiftly analyses the request and searches the Jobs3 talent pool to recommend the most suitable candidates. This ensures employers get the best matches for their needs, saving time, effort and money.
For freelancers, the process is similar. They can showcase their skills and portfolios using their on-chain profiles. When a client searches for talent, the PMNN AI highlights relevant profiles. It showcases their skills by previewing their portfolios and profiles. This allows freelancers to be hired at a much quicker rate and saves considerable time requesting for portfolios.
How does the Procurement Matching Neural Network AI work?
There are 4 functions within the PM NNAI and they are the following:
🟪 BERT: Interprets user queries in natural language, just like Chat GPT, ensuring the search understands the context and nuances of the request.
🟪 CNNs: Analyse product and review images, allowing the system to match visual aspects of a product with user queries that may include descriptive imagery.
🟪 RNNs: Process the sequential data in product/service descriptions and user reviews, capturing the temporal dynamics of language for better matching.
🟪 Siamese Networks: Compare queries with product and service features, focusing on finding the closest match in terms of specific characteristics.
🟪 GNNs: Leverage the relationship data between profiles, which is particularly useful for recommendations and understanding complex job/project requests.
The PMNN AI will be integrated into each marketplace. Working behind the scenes to provide users with efficient search results bringing eCommerce into the AI future.
Features of Three Protocol
⁃ Utilises cutting edge Neural Network AI models to match users to products, services and RWAs much more quickly and accurately than any other web2 marketplace.
⁃ Increases real-world spending utility for cryptocurrency far beyond any protocol.
⁃ On-chain tri-signature architecture dispute DAOs to deal with dispute escalations between parties
Jobs3
The first marketplace is Jobs3.io a decentralised version of Fiverr and Upwork. Jobs3 enables no-KYC, no bank account global employment with complete privacy! Decentralised versions of eBay, Amazon, Uber, Just eat and Autotrader will follow built on the same architecture.
Tokenomics ($THREE):
Liquidity 74.5%
Staking 10%
Team 15%
Airdrop 0.5%
Token Utility:
5% Fee Reduction on Platform
DAO Participation and ecosystem token for all 6 platforms
Staking Rewards
Educational Incentives
Website: https://threeprotocol.ai
Three Protocol is not just a project; it's a catalyst for change and a powerhouse in an-evolving landscape of Web3.
This is today’s eCommerce world.
Three Protocol is changing how individuals interact with online marketplaces by using AI.
Now let's use Jobs3.io as an example of how a digital marketplace should work.
Employers simply input their job requirements into the NNAI. It swiftly analyses the request and searches the Jobs3 talent pool to recommend the most suitable candidates. This ensures employers get the best matches for their needs, saving time, effort and money.
For freelancers, the process is similar. They can showcase their skills and portfolios using their on-chain profiles. When a client searches for talent, the PMNN AI highlights relevant profiles. It showcases their skills by previewing their portfolios and profiles. This allows freelancers to be hired at a much quicker rate and saves considerable time requesting for portfolios.
How does the Procurement Matching Neural Network AI work?
There are 4 functions within the PM NNAI and they are the following:
🟪 BERT: Interprets user queries in natural language, just like Chat GPT, ensuring the search understands the context and nuances of the request.
🟪 CNNs: Analyse product and review images, allowing the system to match visual aspects of a product with user queries that may include descriptive imagery.
🟪 RNNs: Process the sequential data in product/service descriptions and user reviews, capturing the temporal dynamics of language for better matching.
🟪 Siamese Networks: Compare queries with product and service features, focusing on finding the closest match in terms of specific characteristics.
🟪 GNNs: Leverage the relationship data between profiles, which is particularly useful for recommendations and understanding complex job/project requests.
The PMNN AI will be integrated into each marketplace. Working behind the scenes to provide users with efficient search results bringing eCommerce into the AI future.
Features of Three Protocol
⁃ Utilises cutting edge Neural Network AI models to match users to products, services and RWAs much more quickly and accurately than any other web2 marketplace.
⁃ Increases real-world spending utility for cryptocurrency far beyond any protocol.
⁃ On-chain tri-signature architecture dispute DAOs to deal with dispute escalations between parties
Jobs3
The first marketplace is Jobs3.io a decentralised version of Fiverr and Upwork. Jobs3 enables no-KYC, no bank account global employment with complete privacy! Decentralised versions of eBay, Amazon, Uber, Just eat and Autotrader will follow built on the same architecture.
Tokenomics ($THREE):
Liquidity 74.5%
Staking 10%
Team 15%
Airdrop 0.5%
Token Utility:
5% Fee Reduction on Platform
DAO Participation and ecosystem token for all 6 platforms
Staking Rewards
Educational Incentives
Website: https://threeprotocol.ai
Three Protocol is not just a project; it's a catalyst for change and a powerhouse in an-evolving landscape of Web3.
Awesome Project! This is definitely one i can’t miss out on!
they way THREE is changing ways of thinking is something els making easy in WEB3
NNAI assistance while shopping trimming time through filtering unwanted results! Decentralised marketplaces are the future
A great platform built by Three Protocol team
Interesting details. Another step in jobs and AI intersection.
We all know finding the right staff/job, product or service involves endless scrolling or sifting through irrelevant profiles, CVs and products etc.
This is today’s eCommerce world.
Three Protocol is changing how individuals interact with online marketplaces by using AI.
Now let's use Jobs3.io as an example of how a digital marketplace should work.
Employers simply input their job requirements into the NNAI. It swiftly analyses the request and searches the Jobs3 talent pool to recommend the most suitable candidates. This ensures employers get the best matches for their needs, saving time, effort and money.
For freelancers, the process is similar. They can showcase their skills and portfolios using their on-chain profiles. When a client searches for talent, the PMNN AI highlights relevant profiles. It showcases their skills by previewing their portfolios and profiles. This allows freelancers to be hired at a much quicker rate and saves considerable time requesting for portfolios.
How does the Procurement Matching Neural Network AI work?
There are 4 functions within the PM NNAI and they are the following:
🟪 BERT: Interprets user queries in natural language, just like Chat GPT, ensuring the search understands the context and nuances of the request.
🟪 CNNs: Analyse product and review images, allowing the system to match visual aspects of a product with user queries that may include descriptive imagery.
🟪 RNNs: Process the sequential data in product/service descriptions and user reviews, capturing the temporal dynamics of language for better matching.
🟪 Siamese Networks: Compare queries with product and service features, focusing on finding the closest match in terms of specific characteristics.
🟪 GNNs: Leverage the relationship data between profiles, which is particularly useful for recommendations and understanding complex job/project requests.
The PMNN AI will be integrated into each marketplace. Working behind the scenes to provide users with efficient search results bringing eCommerce into the AI future.
Features of Three Protocol
⁃ Utilises cutting edge Neural Network AI models to match users to products, services and RWAs much more quickly and accurately than any other web2 marketplace.
⁃ Increases real-world spending utility for cryptocurrency far beyond any protocol.
⁃ On-chain tri-signature architecture dispute DAOs to deal with dispute escalations between parties
Jobs3
The first marketplace is Jobs3.io a decentralised version of Fiverr and Upwork. Jobs3 enables no-KYC, no bank account global employment with complete privacy! Decentralised versions of eBay, Amazon, Uber, Just eat and Autotrader will follow built on the same architecture.
Tokenomics ($THREE):
Liquidity 74.5%
Staking 10%
Team 15%
Airdrop 0.5%
Token Utility:
5% Fee Reduction on Platform
DAO Participation and ecosystem token for all 6 platforms
Staking Rewards
Educational Incentives
Website: https://threeprotocol.ai
Three Protocol is not just a project; it's a catalyst for change and a powerhouse in an-evolving landscape of Web3.
This is today’s eCommerce world.
Three Protocol is changing how individuals interact with online marketplaces by using AI.
Now let's use Jobs3.io as an example of how a digital marketplace should work.
Employers simply input their job requirements into the NNAI. It swiftly analyses the request and searches the Jobs3 talent pool to recommend the most suitable candidates. This ensures employers get the best matches for their needs, saving time, effort and money.
For freelancers, the process is similar. They can showcase their skills and portfolios using their on-chain profiles. When a client searches for talent, the PMNN AI highlights relevant profiles. It showcases their skills by previewing their portfolios and profiles. This allows freelancers to be hired at a much quicker rate and saves considerable time requesting for portfolios.
How does the Procurement Matching Neural Network AI work?
There are 4 functions within the PM NNAI and they are the following:
🟪 BERT: Interprets user queries in natural language, just like Chat GPT, ensuring the search understands the context and nuances of the request.
🟪 CNNs: Analyse product and review images, allowing the system to match visual aspects of a product with user queries that may include descriptive imagery.
🟪 RNNs: Process the sequential data in product/service descriptions and user reviews, capturing the temporal dynamics of language for better matching.
🟪 Siamese Networks: Compare queries with product and service features, focusing on finding the closest match in terms of specific characteristics.
🟪 GNNs: Leverage the relationship data between profiles, which is particularly useful for recommendations and understanding complex job/project requests.
The PMNN AI will be integrated into each marketplace. Working behind the scenes to provide users with efficient search results bringing eCommerce into the AI future.
Features of Three Protocol
⁃ Utilises cutting edge Neural Network AI models to match users to products, services and RWAs much more quickly and accurately than any other web2 marketplace.
⁃ Increases real-world spending utility for cryptocurrency far beyond any protocol.
⁃ On-chain tri-signature architecture dispute DAOs to deal with dispute escalations between parties
Jobs3
The first marketplace is Jobs3.io a decentralised version of Fiverr and Upwork. Jobs3 enables no-KYC, no bank account global employment with complete privacy! Decentralised versions of eBay, Amazon, Uber, Just eat and Autotrader will follow built on the same architecture.
Tokenomics ($THREE):
Liquidity 74.5%
Staking 10%
Team 15%
Airdrop 0.5%
Token Utility:
5% Fee Reduction on Platform
DAO Participation and ecosystem token for all 6 platforms
Staking Rewards
Educational Incentives
Website: https://threeprotocol.ai
Three Protocol is not just a project; it's a catalyst for change and a powerhouse in an-evolving landscape of Web3.
Interesting project, with a real life utility. Will post my services on there when its fully operational.
We all know finding the right staff/job, product or service involves endless scrolling or sifting through irrelevant profiles, CVs and products etc.
This is today’s eCommerce world.
Three Protocol is changing how individuals interact with online marketplaces by using AI.
Now let's use Jobs3.io as an example of how a digital marketplace should work.
Employers simply input their job requirements into the NNAI. It swiftly analyses the request and searches the Jobs3 talent pool to recommend the most suitable candidates. This ensures employers get the best matches for their needs, saving time, effort and money.
For freelancers, the process is similar. They can showcase their skills and portfolios using their on-chain profiles. When a client searches for talent, the PMNN AI highlights relevant profiles. It showcases their skills by previewing their portfolios and profiles. This allows freelancers to be hired at a much quicker rate and saves considerable time requesting for portfolios.
How does the Procurement Matching Neural Network AI work?
There are 4 functions within the PM NNAI and they are the following:
🟪 BERT: Interprets user queries in natural language, just like Chat GPT, ensuring the search understands the context and nuances of the request.
🟪 CNNs: Analyse product and review images, allowing the system to match visual aspects of a product with user queries that may include descriptive imagery.
🟪 RNNs: Process the sequential data in product/service descriptions and user reviews, capturing the temporal dynamics of language for better matching.
🟪 Siamese Networks: Compare queries with product and service features, focusing on finding the closest match in terms of specific characteristics.
🟪 GNNs: Leverage the relationship data between profiles, which is particularly useful for recommendations and understanding complex job/project requests.
The PMNN AI will be integrated into each marketplace. Working behind the scenes to provide users with efficient search results bringing eCommerce into the AI future.
Features of Three Protocol
⁃ Utilises cutting edge Neural Network AI models to match users to products, services and RWAs much more quickly and accurately than any other web2 marketplace.
⁃ Increases real-world spending utility for cryptocurrency far beyond any protocol.
⁃ On-chain tri-signature architecture dispute DAOs to deal with dispute escalations between parties
Jobs3
The first marketplace is Jobs3.io a decentralised version of Fiverr and Upwork. Jobs3 enables no-KYC, no bank account global employment with complete privacy! Decentralised versions of eBay, Amazon, Uber, Just eat and Autotrader will follow built on the same architecture.
Tokenomics ($THREE):
Liquidity 74.5%
Staking 10%
Team 15%
Airdrop 0.5%
Token Utility:
5% Fee Reduction on Platform
DAO Participation and ecosystem token for all 6 platforms
Staking Rewards
Educational Incentives
Website: https://threeprotocol.ai
Three Protocol is not just a project; it's a catalyst for change and a powerhouse in an-evolving landscape of Web3.
This is today’s eCommerce world.
Three Protocol is changing how individuals interact with online marketplaces by using AI.
Now let's use Jobs3.io as an example of how a digital marketplace should work.
Employers simply input their job requirements into the NNAI. It swiftly analyses the request and searches the Jobs3 talent pool to recommend the most suitable candidates. This ensures employers get the best matches for their needs, saving time, effort and money.
For freelancers, the process is similar. They can showcase their skills and portfolios using their on-chain profiles. When a client searches for talent, the PMNN AI highlights relevant profiles. It showcases their skills by previewing their portfolios and profiles. This allows freelancers to be hired at a much quicker rate and saves considerable time requesting for portfolios.
How does the Procurement Matching Neural Network AI work?
There are 4 functions within the PM NNAI and they are the following:
🟪 BERT: Interprets user queries in natural language, just like Chat GPT, ensuring the search understands the context and nuances of the request.
🟪 CNNs: Analyse product and review images, allowing the system to match visual aspects of a product with user queries that may include descriptive imagery.
🟪 RNNs: Process the sequential data in product/service descriptions and user reviews, capturing the temporal dynamics of language for better matching.
🟪 Siamese Networks: Compare queries with product and service features, focusing on finding the closest match in terms of specific characteristics.
🟪 GNNs: Leverage the relationship data between profiles, which is particularly useful for recommendations and understanding complex job/project requests.
The PMNN AI will be integrated into each marketplace. Working behind the scenes to provide users with efficient search results bringing eCommerce into the AI future.
Features of Three Protocol
⁃ Utilises cutting edge Neural Network AI models to match users to products, services and RWAs much more quickly and accurately than any other web2 marketplace.
⁃ Increases real-world spending utility for cryptocurrency far beyond any protocol.
⁃ On-chain tri-signature architecture dispute DAOs to deal with dispute escalations between parties
Jobs3
The first marketplace is Jobs3.io a decentralised version of Fiverr and Upwork. Jobs3 enables no-KYC, no bank account global employment with complete privacy! Decentralised versions of eBay, Amazon, Uber, Just eat and Autotrader will follow built on the same architecture.
Tokenomics ($THREE):
Liquidity 74.5%
Staking 10%
Team 15%
Airdrop 0.5%
Token Utility:
5% Fee Reduction on Platform
DAO Participation and ecosystem token for all 6 platforms
Staking Rewards
Educational Incentives
Website: https://threeprotocol.ai
Three Protocol is not just a project; it's a catalyst for change and a powerhouse in an-evolving landscape of Web3.
This is fire
Very nice details.
It was great to talk about those in Three Protocol TG
It was great to talk about those in Three Protocol TG
We all know finding the right staff/job, product or service involves endless scrolling or sifting through irrelevant profiles, CVs and products etc.
This is today’s eCommerce world.
Three Protocol is changing how individuals interact with online marketplaces by using AI.
Now let's use Jobs3.io as an example of how a digital marketplace should work.
Employers simply input their job requirements into the NNAI. It swiftly analyses the request and searches the Jobs3 talent pool to recommend the most suitable candidates. This ensures employers get the best matches for their needs, saving time, effort and money.
For freelancers, the process is similar. They can showcase their skills and portfolios using their on-chain profiles. When a client searches for talent, the PMNN AI highlights relevant profiles. It showcases their skills by previewing their portfolios and profiles. This allows freelancers to be hired at a much quicker rate and saves considerable time requesting for portfolios.
How does the Procurement Matching Neural Network AI work?
There are 4 functions within the PM NNAI and they are the following:
🟪 BERT: Interprets user queries in natural language, just like Chat GPT, ensuring the search understands the context and nuances of the request.
🟪 CNNs: Analyse product and review images, allowing the system to match visual aspects of a product with user queries that may include descriptive imagery.
🟪 RNNs: Process the sequential data in product/service descriptions and user reviews, capturing the temporal dynamics of language for better matching.
🟪 Siamese Networks: Compare queries with product and service features, focusing on finding the closest match in terms of specific characteristics.
🟪 GNNs: Leverage the relationship data between profiles, which is particularly useful for recommendations and understanding complex job/project requests.
The PMNN AI will be integrated into each marketplace. Working behind the scenes to provide users with efficient search results bringing eCommerce into the AI future.
Features of Three Protocol
⁃ Utilises cutting edge Neural Network AI models to match users to products, services and RWAs much more quickly and accurately than any other web2 marketplace.
⁃ Increases real-world spending utility for cryptocurrency far beyond any protocol.
⁃ On-chain tri-signature architecture dispute DAOs to deal with dispute escalations between parties
Jobs3
The first marketplace is Jobs3.io a decentralised version of Fiverr and Upwork. Jobs3 enables no-KYC, no bank account global employment with complete privacy! Decentralised versions of eBay, Amazon, Uber, Just eat and Autotrader will follow built on the same architecture.
Tokenomics ($THREE):
Liquidity 74.5%
Staking 10%
Team 15%
Airdrop 0.5%
Token Utility:
5% Fee Reduction on Platform
DAO Participation and ecosystem token for all 6 platforms
Staking Rewards
Educational Incentives
Website: https://threeprotocol.ai
Three Protocol is not just a project; it's a catalyst for change and a powerhouse in an-evolving landscape of Web3.
This is today’s eCommerce world.
Three Protocol is changing how individuals interact with online marketplaces by using AI.
Now let's use Jobs3.io as an example of how a digital marketplace should work.
Employers simply input their job requirements into the NNAI. It swiftly analyses the request and searches the Jobs3 talent pool to recommend the most suitable candidates. This ensures employers get the best matches for their needs, saving time, effort and money.
For freelancers, the process is similar. They can showcase their skills and portfolios using their on-chain profiles. When a client searches for talent, the PMNN AI highlights relevant profiles. It showcases their skills by previewing their portfolios and profiles. This allows freelancers to be hired at a much quicker rate and saves considerable time requesting for portfolios.
How does the Procurement Matching Neural Network AI work?
There are 4 functions within the PM NNAI and they are the following:
🟪 BERT: Interprets user queries in natural language, just like Chat GPT, ensuring the search understands the context and nuances of the request.
🟪 CNNs: Analyse product and review images, allowing the system to match visual aspects of a product with user queries that may include descriptive imagery.
🟪 RNNs: Process the sequential data in product/service descriptions and user reviews, capturing the temporal dynamics of language for better matching.
🟪 Siamese Networks: Compare queries with product and service features, focusing on finding the closest match in terms of specific characteristics.
🟪 GNNs: Leverage the relationship data between profiles, which is particularly useful for recommendations and understanding complex job/project requests.
The PMNN AI will be integrated into each marketplace. Working behind the scenes to provide users with efficient search results bringing eCommerce into the AI future.
Features of Three Protocol
⁃ Utilises cutting edge Neural Network AI models to match users to products, services and RWAs much more quickly and accurately than any other web2 marketplace.
⁃ Increases real-world spending utility for cryptocurrency far beyond any protocol.
⁃ On-chain tri-signature architecture dispute DAOs to deal with dispute escalations between parties
Jobs3
The first marketplace is Jobs3.io a decentralised version of Fiverr and Upwork. Jobs3 enables no-KYC, no bank account global employment with complete privacy! Decentralised versions of eBay, Amazon, Uber, Just eat and Autotrader will follow built on the same architecture.
Tokenomics ($THREE):
Liquidity 74.5%
Staking 10%
Team 15%
Airdrop 0.5%
Token Utility:
5% Fee Reduction on Platform
DAO Participation and ecosystem token for all 6 platforms
Staking Rewards
Educational Incentives
Website: https://threeprotocol.ai
Three Protocol is not just a project; it's a catalyst for change and a powerhouse in an-evolving landscape of Web3.
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