Bunge operates a global commodity-trading and processing platform spanning grain origination, oilseed refining, and plant-based ingredient distribution across 50+ countries. The tech stack reveals a heavy SAP footprint (S/4HANA, MM, ECC, FI, SD, CO) paired with modern cloud migration (AWS DMS, Azure) and BI tooling (Tableau, Power BI), while active adoption of S/4HANA signals enterprise-system modernization. Operations and manufacturing dominate hiring, but the project list—field force automation, cold-chain setup, sales forecasting, innovation launches—indicates pressure to digitize supply-chain execution and reduce time-to-market in a business historically defined by manual commodity workflows.
Notable leadership hires: Team Lead, Trade Execution Transformation Lead, Commercial Lead, Director Cotton Marketing
Bunge is a publicly traded agribusiness company with 10,000+ employees and a 200-year operational history. The business spans three core functions: commodity origination and merchandising (grain, soybeans, corn, wheat sourcing from farmers); oilseed processing and refining (plant-based oils and fats production); and logistics and distribution (moving products across 50+ countries to food, feed, and fuel manufacturers). The company operates in 21 countries with active hiring, reflecting both established regional scale and expansion into emerging markets. Core challenges center on compliance (Sarbanes-Oxley, food safety), cost reduction, inventory management, and closing gaps between commodity procurement, production, and customer delivery.
SAP (S/4HANA, ECC, MM, FI, SD, CO), Oracle SQL, Salesforce, Tableau, Power BI, AWS, Azure, Python, Java, TensorFlow, PyTorch, Jenkins, GitLab, and Onestream for financial planning. Currently migrating databases to AWS and modernizing core ERP systems.
Field force automation, cold-chain distribution setup, sales forecasting systems, modernization and retrofit projects, product innovation launches, annual plant shutdowns, and process improvement for return-to-run (RTR) operations—reflecting focus on supply-chain digitization and operational efficiency.
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Bunge's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.