AI Agents Transform Supply Chains and Business Operations

Atal Bansal, Founder and CEO of Chetu, explores how AI agents are transforming industries by automating decision-making and optimizing operations.

The Evolution of Automation

Henry Ford's assembly line revolutionized mass production, paving the way for automation. Today, agentic AI—powered by machine learning (ML), large language models (LLMs), and natural language processing (NLP)—takes automation further by enabling AI systems to act independently. According to BCG, two-thirds of companies are exploring AI agents for their potential to perceive, plan, and act autonomously.

Industry Adoption

Major brands like Amazon and Walmart are already leveraging AI agents:

• Amazon's Alexa+ uses agentic AI to navigate the internet and complete tasks autonomously.
• Walmart employs AI agents to improve inventory management by identifying root causes of supply chain issues.

Why AI Agents Matter

AI agents go beyond generative AI by making real-time decisions, reducing costs, and freeing employees to focus on revenue-generating tasks. However, implementation challenges include:

• Data quality and integration across IoT, ERP, and legacy systems.
• Security and ethical concerns.
• Compatibility with existing infrastructure.

Stakeholder Collaboration

Successful AI adoption requires cross-functional teams:

• Supply chain and operations teams provide insights on pain points.
• IT and data teams ensure seamless integration and functionality.
• End users offer feedback for refining AI agent interactions.

Solving Supply Chain Challenges

AI agents address key supply chain issues:

• Demand forecasting: Predicting spikes or dips to optimize inventory.
• Supplier evaluation: Assessing reliability and identifying alternatives during disruptions.
• Cost savings: Reducing excess stock and improving customer satisfaction.

Third-Party vs. Custom Solutions

Businesses must choose between:

• : Lower upfront costs and faster deployment but limited customization.