Customer Description

A multinational agricultural inputs company serving farmers and field sales teams across Latin America with a portfolio of seed and crop protection products.

Challenge

The company needed to move beyond static catalogs and generic guidance to deliver more personalized, data-informed recommendations to its commercial teams and growers. Existing tools weren’t equipped to centralize data or provide field-level insights, limiting their impact and usability.

Solution 

Magoya evolved the system into a dynamic product recommendation platform tailored to individual field conditions and crop cycles. The platform integrates multiple agronomic data sources to deliver:

• Seed and crop protection product recommendations based on soil moisture, weather, and crop stage
• Growth modeling and real-time crop tracking- Custom insights such as planting density and harvest timing
• Localized performance benchmarks and yield forecasts

Approach

Magoya supported the product’s evolution through a long-term partnership:

• Led discovery and user research to map key workflows and unmet needs
• Iteratively redesigned and expanded the platform with new use cases
• Maintained and optimized the product through agile sprints
• Localized the experience for multiple countries, including adapting language and measurements, and seed brands

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I have been working with the Magoya team for several years. They have great professionals with excellent technical and agronomic expertise, as well as the ability to lead different types of projects. It's a pleasure to work with them and achieve goals together.- Product Manager

Results

The platform is now used by thousands of farmers and advisors across five countries, supporting multiple brands. It enhances production efficiency, improves field-level decision-making, elevates the client’s agronomic leadership, and enhance the success of their commercial programs.

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Technology

• Models: Growth stage modeling, yield estimation, harvest timing.
• Data Layers: Soil moisture maps, real-time weather, historical trials.
• Integrations: Field data platforms and proprietary agronomic models