Case Study: Perdue Farms achieves $100M in savings with Dataiku

Perdue Farms saves $100 million with Dataiku

Perdue Farms, a fourth-generation family-owned food and agriculture company, faced a significant data challenge. Vital business data was siloed across disparate spreadsheets, leading to slow analytics requests that took weeks or months. This lag resulted in missed restocks, excess inventory, and lost sales, hindering overall business performance for the perishable goods supplier. To address this, they partnered with vendor Dataiku.

The solution implemented was the Dataiku platform, which served as an orchestration engine on top of Snowflake. Dataiku empowered business users with visual and AI-assisted tools, enabling 85 builders across 21 departments to create their own data pipelines and analyses within a governed framework. This shift saved associates significant time previously spent on data preparation and allowed them to focus on analysis. The results were substantial, generating over $100 million in value and $35 million in bottom-line savings over five years through projects like optimizing packaging to reduce transportation costs.

Perdue Farms