Overview

A major player in the agro-industry ecosystem faced a hidden but costly challenge: a large portion of their commercial agents’ time was spent answering basic, repetitive questions.

These queries—often related to product compatibility, dosage, inventory or fiscal requirements—required consulting manuals or internal documentation.

The goal was to explore how artificial intelligence could transform dispersed technical knowledge into an intelligent assistance system.

The challenge: When simple queries consume expert time

Daily operations generate a continuous flow of inquiries related to:

• Phytosanitary compatibility.

• Product dosage.

• Inventory availability.

• Fiscal documentation.

• Customer history.

Answering these questions often requires manual consultation of technical resources.

The operational impact is substantial:

• 20% of a commercial agent’s weekly time is spent on basic queries.

• The workload equals roughly three full-time roles dedicated to repetitive support.

• Delayed responses negatively affect customer experience.

The knowledge exists, but it is not structured for real-time access.

The solution: Augmented Agro Intelligence: expert knowledge available 24/7

To address this challenge, the team designed Augmented Agro Intelligence, an AI assistant trained on a specialized enterprise knowledge base.

The solution enables instant responses to common commercial and technical queries.

Key capabilities include:

• Instant answers about products and compatibility.

• Quick access to technical manuals and protocols.

• Fiscal and regulatory consultation.

• 24/7 availability without human intervention.

This allows specialists to focus on strategic clients and high-value advisory work.

Solution design

Conversational AI powered by enterprise knowledge

The system relies on a structured enterprise knowledge base combined with conversational AI capabilities.

Core features include:

• Natural language query understanding.

• Contextual retrieval of technical documentation.

• Validated information sources.

• Fast, reliable responses.

The result is a system that turns scattered information into operational knowledge accessible in seconds.

Evolution roadmap

From query automation to predictive agricultural intelligence

The long-term vision includes three stages of evolution.

Level 1 – Query automation
Structured knowledge base to resolve questions on fiscality, dosage, compatibility, and stock.

Level 2 – Knowledge curation
Integration of manuals, mixing protocols, and fiscal circulars for complex resolutions.

Level 3 – Predictive advisory
A RAG-based architecture combining field, weather, and pest data to generate early alerts for logistics and crop applications.

Business impact

Higher productivity and faster customer service

The initiative unlocks multiple operational benefits for agro-industry organizations.

Operational efficiency
Up to 80% of the time spent on repetitive queries can be recovered.

Continuous assistance
Users receive answers instantly, at any time.

Risk reduction
Fewer incidents related to fiscal errors or incorrect dosage.

Better customer experience
Faster responses and more reliable information.

This initiative represents the first step toward a broader AI platform for agro-industry operations.

As the system evolves and integrates additional datasets, it can become a predictive advisory engine supporting logistics, crop management, and commercial strategy.