Bunge trades in agricultural commodities such as wheat, corn and cotton. For analyses and decisions, their teams depend on current and reliable supply and demand data.
Problem statement
The way of working lacked a stable foundation: important processes ran in Excel and a legacy system. This led to error-proneness and limited scalability, while the need for a user-friendly platform for researchers, traders and management only continued to grow.
Our solution
We developed AgroPulse as a central platform for trading data. Researchers, traders and management work together within it: from managing supply and demand data to monitoring balances, shipments and market developments, and consulting reports.
We delivered one platform for balances, shipments, line-ups, vessel tracking and reporting. Complex calculations have been translated into a stable data model, supported by flexible visualisations.
Dependency on Excel has been reduced through upload and inline editing functionality, complemented by workflows for approval and version control. Integrations with Snowflake, reporting tools and legacy systems such as Whiteboard ensure consistent data.
Impact
- Stable and scalable platform as a new foundation
- Less dependency on Excel
- Better access to reliable data
- Faster and better-substantiated decision-making
- More control through drafts, approvals and version control
- Strong foundation for further phasing out of legacy systems
