Twin treats Walmart as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.
The page below shows the practical automation patterns for Walmart: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.
Common starting points include walmart.com product and price monitoring, retailer pricing intelligence, product data to google sheets. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.
Twin is most useful when walmart.com doesn't expose a public product browsing API for general use. Twin drives the browser directly, reading the same pages a human would—so structured access to prices, ratings, and inventory isn't blocked by missing credentials.