An AI order-taking assistant that holds under real stock.
Why it mattered: a merchant selling over DM has no idea what's actually in stock the moment a customer asks — overselling and slow replies are the default, not the exception.
Social-selling merchants take orders by hand across WhatsApp, Instagram, and Messenger — slow replies, no stock visibility, and overselling.
An AI agent that answers across all three channels, matches requests against the real catalog, and collects what's needed to complete an order.
Order confirmation with real stock locking, then sync to Google Sheets or a connected store — built country-agnostic from day one.
Live in production — real conversations across 3 channels, resolved against live inventory, with no overselling.
Stock locking is the whole problem. An agent that can chat but can't count isn't an improvement.
Most order-taking bots demo well because the demo never has two customers asking about the same last unit at the same time. Chom's core engineering problem wasn't the conversation — it was making sure that when two customers both ask for the same item within seconds of each other on different channels, exactly one of them gets confirmed and the other gets told the truth, immediately, not after a human notices the oversell an hour later. That's what "proper stock locking" in the feature list above actually means in practice, and it's the difference between a chatbot and a system a merchant can trust with real orders.
Want something like this for your business?
Chom is one pattern. If your workflow looks different, we'll scope something built for it.
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