Customer Description

A multinational seed company operating in Latin America, supporting large-scale farmers and agronomic advisors with trial-based insights for product decision-making.

Challenge

The client needed to accelerate and simplify the process of analyzing field trials. Existing processes were partially manual, data was fragmented across systems, and the statistical models in use lacked a user-friendly interface—limiting speed, adoption, and visibility.

Solution 

Magoya helped define and develop a digital experience for automated trial data ingestion, visualization, and decision support. The platform:

• Integrated third-party OEM data from field equipment
• Automated the ingestion and normalization of harvest and environmental data
• Integrated internal analytics resources for data processing
• Delivered dashboards for quality control, experimental design, and yield analysis
• Enabled generation of agronomic prescriptions and side-by-side field comparisons

Approach

Magoya led a discovery-to-product engagement that included:

• Stakeholder workshops to clarify business goals and user needs
• UX design focused on clarity and speed of interpretation
• Integration planning for external data sources (e.g., harvest, soil, OEM telemetry)
• Handoff to the client’s internal development team with validated user flows

Results

The solution significantly reduced manual processing, accelerated time to insight, and enabled broader internal adoption of the client’s statistical analysis models. With a validated prototype and clear user workflows, the client’s internal team was able to fast-track product development and launch on schedule.

Technology

• Frontend: Next.js
• Backend: Node.js, Prisma ORM; Python (FastAPI, Celery)
• Database: PostgreSQL
• Infrastructure: Google Cloud Platform, Kubernetes
• IaC: Terraform, ArgoCD
• Storage: GCS Buckets
• Integrations: Field data platforms via OEM API (e.g., machine telemetry, as-applied data)

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