Breaking

Supply Chain Firms Struggle to Convert AI Investments Into Real Gains

Organizations across supply chain-intensive industries are deploying artificial intelligence faster than they can operationalize it, according to new research from Everest Group. This disconnect between technology adoption and measurable business results reveals a fundamental gap in how companies approach digital transformation. Everest Group's analysis shows that sustainable value requires more than software installations. Instead, firms must redesign workflows, integrate human expertise with new capabilities, and establish clear accountability measures. The research outlines a four-step roadmap for transitioning from initial AI deployment to scalable operations that deliver lasting returns. Success hinges on aligning technological investments with workforce capabilities and business objectives. Companies that fail to bridge this operational gap risk wasting substantial capital while competitors gain competitive advantages through more deliberate transformation strategies.