Revolutionizing Port Logistics: Real-Time Demand Forecasting with Metareal PL
On January 13, 2026, Rosetta, a subsidiary of Metarial Group, introduced a premium monthly subscription plan for its AI agent, Metareal Port Logistics (Metareal PL), designed to predict port logistics demand in real-time. The monthly fee of 50,000 yen (approximately $470) provides users with up to 20 uses per day, totaling 200 uses a month.
Metareal PL integrates port entry and exit data with company investor relations information, making it a pioneering tool for businesses to accurately predict logistics demand. The service allows sales representatives to leverage this predictive data, enabling them to generate proposal materials at the right moments without missing potential opportunities.
The need for this innovation arose from the fluctuating nature of import and export logistics, which made it challenging for sales personnel to grasp the exact timing for demand. Traditionally, proposals relied heavily on statistical data and historical analysis, which could lead to missed business opportunities. Metareal PL was developed to provide real-time forecasts tailored to specific companies, thus addressing these challenges and enabling more strategic decision-making in logistics.
Metareal PL boasts three primary features that elevate its value:
1. Real-Time Demand Forecasting: The integration of port entry/exit data with corporate IR information allows for immediate anticipation of rising demand.
2. Automated Proposal Generation: It analyzes vessel movement and projected imports, facilitating rapid generation of proposal materials tailored for corporate sales.
3. Visibility of Current Port Demand: By visualizing ‘active port demand’ that isn’t apparent from traditional statistical data, businesses can adapt more rapidly to changes in the logistics landscape.
This service is particularly designed for corporate sales representatives in transportation firms, logistics service companies, and those involved in export/import logistics strategy.
In line with launching Metareal PL, Rosetta is also doubling down on its AI consulting initiatives. The company announces that it will roll out a series of generative AI solutions named
Metareal PL integrates port entry and exit data with company investor relations information, making it a pioneering tool for businesses to accurately predict logistics demand. The service allows sales representatives to leverage this predictive data, enabling them to generate proposal materials at the right moments without missing potential opportunities.
Development Background
The need for this innovation arose from the fluctuating nature of import and export logistics, which made it challenging for sales personnel to grasp the exact timing for demand. Traditionally, proposals relied heavily on statistical data and historical analysis, which could lead to missed business opportunities. Metareal PL was developed to provide real-time forecasts tailored to specific companies, thus addressing these challenges and enabling more strategic decision-making in logistics.
Key Features of Metareal PL
Metareal PL boasts three primary features that elevate its value:
1. Real-Time Demand Forecasting: The integration of port entry/exit data with corporate IR information allows for immediate anticipation of rising demand.
2. Automated Proposal Generation: It analyzes vessel movement and projected imports, facilitating rapid generation of proposal materials tailored for corporate sales.
3. Visibility of Current Port Demand: By visualizing ‘active port demand’ that isn’t apparent from traditional statistical data, businesses can adapt more rapidly to changes in the logistics landscape.
This service is particularly designed for corporate sales representatives in transportation firms, logistics service companies, and those involved in export/import logistics strategy.
Strengthening AI Consulting with Industry-Specific Insights
In line with launching Metareal PL, Rosetta is also doubling down on its AI consulting initiatives. The company announces that it will roll out a series of generative AI solutions named
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