Success Story | Dole

Dole Middle East boosts day-to-day operations

Dole logo

About Dole

Dole is a global leader in the production, distribution, and marketing of fresh fruits, vegetables, and other food products. With a rich history spanning over 160 years, They have established itself as a trusted brand in the industry.
They operate across multiple continents and have a diverse portfolio of products, including bananas, pineapples, berries, salads, and packaged fruits. Committed to sustainability and quality, they also focus on delivering nutritious and flavorful food options to consumers worldwide. Their website provides information on their products, recipes, health tips, and initiatives aimed at promoting healthy lifestyles and environmental responsibility.




United Arab Emirates


Wholesale distribution

Azdan Solution

Oracle Enterprise Performance Management


1,000+ Employees

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Business Situation

Dole Middle East is a subsidiary company of Dole, a global fruit and vegetable company with hundreds of years of experience. The finance team used to manually collate ERP data into spreadsheets for analysis. this process was time-consuming and error-prone, creating difficulties to analyze and understand the real business performance.


Azdan helped them consolidate the information from its legacy ERP system into Oracle EPM for data analysis and forecasting. This process has been shortened to few hours instead of weeks.

dole fruits


  • Implementation of Oracle Planning and Budgeting Cloud Service resulted in significantly improved data integrity and reliability for forecasting.
  • Manual spreadsheet usage for forecasting was replaced, leading to a notable increase in accuracy and trustworthiness of the data.
  • The transition to Oracle Planning and Budgeting Cloud Service resulted in a data integrity improvement of up to 95%.
  • Forecasting processes now benefit from enhanced reliability, reducing the risk of errors and inconsistencies.
  • With the implementation, organizations experienced a significant reduction in data-related issues, improving overall forecasting efficiency and decision-making.