Build an inventory tracker with an AI agent

What an inventory tracker keeps track of

Most trackers, whether for a shop, a kitchen, or a supply closet, revolve around the same handful of ideas. Naming them first makes it much easier to describe what you want.

• Items: each thing you stock, with a name and maybe a category or SKU.
• Quantity: how many you have on hand right now.
• Movements: stock coming in and going out.
• Alerts: a warning when a count drops below a level you set.

You do not have to model this by hand. You describe the items and rules, and the agent proposes a structure you can review and adjust.

Describe your items and rules

Start with a plain sentence about what you stock and how you count it. For example, you might ask for a tracker where you add products with a name, quantity, and reorder level, and see which items are below that level.

From there you can add the behavior that matters to you, such as increasing stock when a delivery arrives, decreasing it when something is sold or used, and flagging anything that needs reordering. The agent turns each request into working code and runs it, so you can try the result immediately.

See live counts as you use it

mobileCoder builds and runs the app in the browser, so there is no setup and no server to manage. When the agent finishes a step, a live preview appears and you can add a few items and watch the counts update.

Test it the way you would use it for real. Add stock, remove some, and push an item below its reorder level to confirm the alert appears. Trying the everyday actions early shows you quickly whether the logic behaves the way you expect.

Review the counting logic

Inventory math looks simple but is easy to get subtly wrong, and AI generated code can contain mistakes. It is worth reading the parts of the code that change quantities.

• Does removing more than you have leave a sensible result rather than a negative count?
• Do additions and removals update the same number consistently?
• Is the reorder alert triggered at the right threshold?

If a rule is wrong, ask the agent to fix that specific behavior and test again. Reviewing the logic yourself is the surest way to trust the totals.

Grow it as your needs grow

Once the core tracker works, you can add the features that make it more useful day to day. Ask for a search box, categories, a simple history of stock movements, or a summary of low stock items.

If you want to import an existing list or connect an outside service, you can bring your own API keys where a service is needed. Add one feature at a time and test after each change, so it stays easy to see what each addition did.

Frequently asked questions

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