DeAngelisReview

Agentic commerce—AI agents making purchases for consumers—could generate $1-5 trillion by 2030. Though 95% of consumers harbor concerns, retailers must invest immediately in agentic capabilities or risk disintermediation.

Extreme AI narratives overshadow practical conversations. AI should be viewed as normal technology. Small Language Models provide focused, efficient solutions for businesses seeking measurable returns on investments, avoiding extreme prophecies.

Retailers must adapt to consumer trends like agentic AI, shoppertainment, and phygital experiences while simultaneously transforming supply chains through regionalization, purposeful technology deployment, and connected global networks to stay competitive.

Recent studies challenge cheese's unhealthy reputation, showing that daily consumption of about 1.5 ounces may reduce heart disease and stroke risk. High-fat cheese is also linked to lower dementia risk.

AI dominates 2026 technology trends, from generative models to agentic platforms. Quantum computing nears viability while robotics, digital twins, and bio-innovation reshape enterprise operations and competitive advantage strategies.

Cybersecurity emerges as supply chain's defining risk, with 70% of executives flagging threats by 2030. Supply chain interdependencies create vulnerabilities as digital and physical systems converge, demanding proactive defense strategies.

Corporate reputations crumble instantly online, yet most companies lack crisis plans. The new Enterra-Montfort Platform uses AI-powered autonomous intelligence to proactively predict reputational risks and protect enterprise value.

Modern supply chains must evolve from efficiency-focused to uncertainty-engineered systems. AI, scenario planning, autonomous agents, and workforce augmentation create connected networks that transform complexity into competitive intelligence through data collaboration.