Quick Overview
Henkell Freixenet used Jedox’s AIssisted™ Planning module to improve forecast accuracy and scenario planning. The finance team compared AI-driven predictions with historical and planned figures, achieving 91% accuracy. AI simulations identified key business drivers, enabling more agile, driver-based planning and faster reporting.
Henkell Freixenet
Company Size
Large multinational
Revenue Range
Not publicly disclosed
Primary Challenge
Improving forecast accuracy and agility in financial planning
Key Metrics
\- 91% forecast accuracy\- Improved planning speed\- Better driver-based decision-making
The Problem
Traditional spreadsheet-based planning was disconnected and labor-intensive, limiting agility and accuracy
The Solution
Implemented Jedox AIssisted™ Planning with AI-powered predictive forecasting, driver-based simulations, and automated data integration
Results
\- Significantly improved forecast accuracy\- Streamlined reporting and planning processes\- Enhanced decision-making agility\- Time savings through automation
“The AI-driven forecasts outperform traditional methods, enabling us to focus on analysis rather than data preparation.”
Henkell Freixenet Finance Team
Details
Industry
Retail & E-commerce
Departments
Finance & Accounting
Use Cases
Budgeting & Forecasting
Tags
GenAI
NLP
Scalability
Team Efficiency
Time-Saving
Predictive Modeling
AI Tools Used
No items found.
Sources
https://www.jedox.com/en/customers/henkell-freixenet/
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