The rules of enterprise software are being rewritten. For decades, the strategy was clear: standardize processes to cut costs and streamline operations, paving the way for ERP, CRM, and other rigid systems to dominate. These legacy systems belong to an era of fixed processes and centralized control - a model designed for uniformity and efficiency that ultimately locked businesses into inflexible structures

Businesses are realizing that proving AI can work is no longer enough. To succeed, AI initiatives must deliver measurable value and remain adaptable to long-term needs. The shift from proof of concept (PoC) to proof of value (PoV) represents a fundamental change—one that emphasizes outcomes over feasibility and ensures AI solutions address real business challenges.

Perishable goods present unique challenges for supply chains. With short shelf lives, unpredictable demand, and the need for consistent cold chain management, the margin for error is slim. AI, and AI agents - new digital colleagues in supply chain teams - in particular, offers a way to address these complexities, providing advanced capabilities for improving forecasting accuracy, enhancing visibility, and building resilience.