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Supply Chain Management Solution

Artificial Intelligence Matching

AI matchmaking is already reshaping the future of the event industry, and it has tremendous potential in  revolutionizing the trade of international material and finished goods. GBlueSea intends to leverage this emerging advantage to its fullest potential.

This technology has become commonplace in all areas of life, whether when completing daily tasks or running a business.

We deal with it daily even without noticing much anymore  – such as when reviewing Netflix recommendations, shopping on Amazon or utilizing virtual assistants such as Alexa and Siri.

Additionally, the projected global revenue for AI is growth at a five-year annual rate of 17.5% to 554.3 billion USD from 2021 to 2024, according to IDC study results.

Developments in this tech have brought forth innovative solutions for several different industries. The key feature AI brings is particularly important in that it can quickly analyze data and automate processes, and at the same time keep up the experience of human touch.

Global trade brokers compete for thousands of participants around the world daily.

This expanding competition has exponentially increased the amount and quality of data – names, job titles, geographical locations, services offered, import materials and goods sought, export materials and goods offered, and new interests – being transmitted and recorded by tens of thousands of businesses.

Considering a vast database of this information at your fingertips, how can data like this be used to drive the mutually profitable connections and improve networking opportunities for global traders?

Image by shawnanggg

Processing all this data by hand would take far too much time

 

With AI matchmaking software, millions of data points can be analyzed within moments, delivering instant proposals for the most potentially successful pairings.

 

At the center of this technology is what is known as machine learning. This adapts to user choices by studying their intent and past behavior patterns to return more relevant options, that is if the desired match is not found.

Using AI algorithms, GBlueSea can track exactly which resources are meeting their desired goals, or which categories are seeing maximum engagement. By studying the different factors influencing site member client behavior, AI can answer questions like:

 

Is the content being shared relevant to the client?

Are the data sets being used effectively?

Are the correct clients connecting effectively?

Key Performance Indicators

 

A successful match is a match that shows any positive action

Profile click

Favorite

Connection request

Message for more information

 

An unsuccessful match is one that has brought a negative action, or, which has not shown a

positive action after X number of showings.

 

These performance indications impact clients interest score which can result in suggestions to better match the marketplace needs

In summary,

1. With an AI matchmaking platform, clients can thoroughly indicate their desires or offerings in the fields in their profile, and adjust them as needed.

2. Clients are served the contacts that they’re interested in without wasting time.

3. Contract generation is more efficient as well, as clients can enter negotiations immediately within the platform’s automated process.

 

As we can see, being an early adopter of AI technology within global trade brokering is a smart choice. GBlueSea has identified the tremendous advantage available to emerge as a leader in expedited connections and contract writing. This particular information management expertise will prove to be a winner in the next few years to those who wish to embrace it.

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