Decision-Making in Small Agricultural Businesses Using AI and BI
Enhancing agricultural decision-making with AI and Business Intelligence in Catalonia
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Detail description
The Decision-Making project enhanced commercial decision-making in small agricultural businesses through Business Intelligence and Artificial Intelligence. Implemented in Tarragona, Priorat, and Baix Penedès from July 2020 to September 2022, it focused on digitalisation, KPI definition, and analytics—descriptive, predictive, and prescriptive. Applications included client segmentation, recommendation systems, sales forecasting, and performance monitoring. The project improved productivity, reduced errors, optimised stock, cut transport emissions, and supported sustainable supply chains using machine learning, contributing to climate resilience. Results were shared via etim.cat, cevipe.cat, fcac.coop, uoc.edu, social media, and webinars.
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Contribution detail info
- Project
DECISION-MAKING-Integral and circular methodology for making business decisions
DECISION-MAKING-Integral and circular methodology for making business decisions
- Location
- Spain
- Authors
- Catalan Federation of Agricultural Cooperatives (FCAC)
- Purpose
- Communication, Dissemination
- File type
- document
- Created on
- Sep 01, 2022
- Origin language
- Spanish
- Official project website
- DECISION-MAKING-Integral and circular methodology for making business decisions
- License
- CC BY
- Keywords
- Themes