AI planning agents are software that watch a company's supply chain all the time, replan when demand, supply or shipping changes, and then carry out the new plan themselves, with human planners approving only the exceptions. An exception is a decision that is unusual, risky or expensive, which the company's rules say a person must approve. These agents are a part of supply-chain planning software.
An AI agent is software that uses a large language model (LLM), the kind of AI behind chatbots, together with other models, to decide on actions and take them. A planning agent reads the latest data, compares it with the plan, and chooses what to change. Then it acts through the company's own systems. For example, it creates a stock transfer in the ERP system, or changes the date of an order with a supplier.
Older planning software made a plan once a month. People then spent every day fixing that plan by hand, as orders changed and trucks ran late. A planning agent replans every few hours, or as soon as something changes.
Imagine a paint company with depots across Uttar Pradesh. On a Tuesday morning, the agent sees that the Lucknow depot will run out of 20-litre buckets of white emulsion paint in four days. Sales are 30% above the forecast, because many families repaint their homes in the weeks before Diwali. The next delivery from the factory is six days away. The agent checks the Kanpur depot, about 80 km away. Kanpur has 900 buckets more than it needs for the next two weeks. The agent plans to move 400 buckets to Lucknow by truck, at a cost of about ₹18,000. The company's rule says that the agent may make transfers below ₹50,000 on its own. So it books the transfer and the truck, and records why it did so.
The same morning, the agent also suggests that the factory make 5,000 extra buckets next week. That would change the factory's whole schedule. So the agent sends this suggestion to a human planner, with the numbers that support it. The planner approves it after checking with the factory head.
The rules matter as much as the model. The company decides which actions the agent may take alone, the money limit for each action, and what the agent must record. AI that takes actions on real stock, trucks and machines is described in physical AI. Agents also need correct data. If the stock records in the ERP system are wrong, the agent will move the wrong stock.