Metareal AM Launches Premium Plan for AI Agri Equipment Analysis

Rosetta Inc. , a member of the Metareal Group, has begun offering a premium plan for Metareal AgriMachine (hereinafter referred to as Metareal AM), an AI agent that analyzes the timing of agricultural machinery replacement for agricultural corporations.

Metareal AM is a report generation agent that uses AI to automatically predict the timing of agricultural machinery renewal and purchase for each agricultural corporation by integrating and analyzing weather data, crop calendars, social media posts, and local government subsidy information. Sales representatives can make proposals at the optimal time without missing periods when the probability of renewal is high.

The timing of agricultural machinery renewal depends on multiple factors, such as harvest season, planting schedule, weather damage, and when subsidies are available. In the past, many visits relied on sales experience and intuition, and there were many cases where sales opportunities were missed due to poor timing of proposals.

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Features of Metareal AM

The main features of Metareal AM are the following three points.

Demand forecast through multi-layered data integration.

By combining weather data, planting cycles, social media posts, and local government subsidy information, AI scores each agricultural corporation’s willingness to renew.

Real-time updates suggest optimal visit times.

Automatically extracts companies with a renewal probability of 70% or more and generates a sales priority list. Supports sales activities that don’t miss the right timing.

Automatic generation of proposal materials

Sales materials tailored to the management scale and crop trends of the target corporation are automatically created, enabling immediate proposals. This significantly improves productivity in the sales field.

This service is intended to be used by corporate sales representatives of agricultural machinery manufacturers and dealers, companies with sales offices nationwide that are facing the challenge of optimizing sales timing based on regional differences in climate and crop yields, and organizations aiming to make sales activities data-driven and to train and streamline young sales staff.

SOURCE: PRTimes