Syngenta Uganda is a leading agritech company supporting farmers, agro distributors, and commodity buyers across the country.
Challenge:Syngenta faced significant limitations in its legacy data infrastructure.
Highlight:
Client: Syngenta Uganda is a leading agritech company supporting farmers, agro distributors, and commodity buyers across the country with crop protection products, seeds, and digital farming solutions.
Challenge: Syngenta faced significant limitations in its legacy data infrastructure. The old warehouse could not handle growing data volume, and the absence of automation made every pricing cycle slow, reactive, and dependent on manual intervention.
Goal: The goal was to enable smart pricing recommendations, support rapid market response, and ensure national distributors received accurate pricing guidance supported by trusted data.
Solution: CA modern cloud-based data warehouse was designed to integrate all data sources into a single unified architecture.
Result: Syngenta significantly reduced the time required for national pricing cycles and improved the accuracy of distributor guidance.
More Details:
Client:
Syngenta Uganda is a leading agritech company supporting farmers, agro distributors, and commodity buyers across the country with crop protection products, seeds, and digital farming solutions. As Uganda’s agricultural sector continues to scale rapidly, Syngenta plays a central role in enabling date-driven farming and commercial optimization.
With its vast product portfolio and nationwide distributor network, the company relies on accurate and timely data to guide pricing decisions, forecast demand, and support market competitiveness.
Challenge:
Syngenta faced significant limitations in its legacy data infrastructure. The old warehouse could not handle growing data volume, and the absence of automation made every pricing cycle slow, reactive, and dependent on manual intervention. Analyst struggled to combine data for regional pricing decisions, and delays in reporting often caused missed opportunities in a fast-moving commodities market.
Goal:
The goal was to enable smart pricing recommendations, support rapid market response, and ensure national distributors received accurate pricing guidance supported by trusted data and to design a modern cloud-based data warehouse to unify diverse information into a single integrated architecture.
Solution:
A modern cloud-based data warehouse was designed to integrate all data sources into a single unified architecture. Automated ETL pipelines were deployed to standardize data ingestion from multiple systems and external agronomic sources. Data quality rules, validation layers, and data governance were implemented to ensure clean, consistent and secure information.
Result:
Syngenta significantly reduced the time required for national pricing cycles and improved the accuracy of distributor guidance. The modernization eliminated manual reconciliation, improved pricing consistency, and enabled faster decision-making during peak agricultural seasons. Distributors benefited from timely and data-driven price updates, which improved competitiveness and revenue performance across multiple regions. Syngenta also gained the ability to forecast demand more reliably and respond proactively to market fluctuations.
Testimonials
The new data warehouse has transformed the way pricing decisions are made and having reliable, real-time insights has increased operational efficiency, supported stronger distributor relationships, and positioned Syngenta as a more agile player in Uganda’s growing agritech ecosystem.
