Year: 2025
Type: article
Abstract: Agricultural companies operate in an increasingly complex market environment characterized by volatile commodity prices, weather-dependent production cycles, and evolving customer demands.This research presents a comprehensive framework for implementing a Salesforce-based dynamic pricing tool designed specifically for agricultural enterprises.The proposed solution integrates real-time market data, weather patterns, and customer behavior analytics through Einstein AI capabilities to optimize pricing decisions.By leveraging advanced CRM functionality, predictive analytics, and automated validation processes, the system addresses critical challenges in agricultural pricing while improving operational efficiency and customer retention.The implementation framework outlined in this study provides a structured approach for agricultural businesses to transition from traditional fixed pricing models to dynamic, data-driven pricing strategies that enhance profitability and market responsiveness.
Author: Deepika Bandella
Institution: Fairleigh Dickinson University
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4407262848