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
License
CC BY