When AI bots like ChatGPT or Claude shop for people online, they drop out the second an item is out of stock. CA2A (CATA) gives stores an active AI seller agent that steps in, offers the right substitute, bundles extra items, and closes the deal.
Regular chat widgets were built for humans, not for AI buyer bots. Here is why bots need their own dedicated agent to talk to.
Dumping 50+ items into the buyer bot's memory confuses it, uses up its limits, and causes it to forget what the user wanted.
If the user asks for a 4-person tent and you have zero in stock, standard search returns "0 results". The bot leaves right away to buy from a competitor.
Old APIs cannot put two items together or give a special package discount to fit the buyer's budget.
Standard chatbots take 10 to 15 seconds to reply. AI buyer bots only wait 1 to 2 seconds before timing out.
Instead of flooding the bot with products, CA2A guides it directly to the single best in-stock alternative that fits its goals.
If the 4-person tent is out, CA2A offers a 5-person tent plus a ground mat at a bundle price ($179.99) that fits the user's $180 budget.
Runs on Gemini 2.5 Flash and responds in under 900ms, making sure the buyer bot never drops the call.
Our hard guardrails make sure discounts never drop below the store owner's minimum profit rules (e.g. at least 25% profit).
Everything our concierge does behind the scenes to guide the buyer bot and protect the store.
When the requested item is missing, CA2A finds the closest in-stock item that satisfies size, waterproofing, and shipping dates.
CA2A tells the bot exactly why an extra item is useful (e.g. "The ground mat stops water from seeping through rocky ground") so the bot quotes it to the user.
Written in strict code, not prompt text. Even if a bot tries to hack the price to $1.00, our system automatically clamps it to a safe profit margin.
Discount codes (like A2A_BUNDLE_18) are not shown on public web pages. They can only be unlocked by talking directly to our concierge agent.
CA2A asks follow-up questions: "What nighttime temperature are you expecting? Do you need camp lighting?" to tailor the package across multiple messages.
Mints a temporary reservation token that holds the items and the discounted price for 1 hour so the human user can confirm checkout.
Normal websites only see clicks and cart drops. By chatting with the buyer agent, CA2A uncovers the real reasons people buy.
Finds out where the user is traveling, when they need it by, and what weather they face (e.g. 40°F cold nights or heavy rain).
Discovers group sizes (e.g. 4 friends camping together), family setups, and whether they need extra gear space.
Captures the customer's true maximum budget from the agent's constraints so stores can price items effectively.
Different stores have different needs. We adapt CA2A for both small shops and big retail chains.
Easy 5-minute install with zero coding required by the business owner.
Tailored integration for large brands with multi-million dollar catalogs and multiple warehouses.
We tested CA2A against real web shopping bots. In every single test, CA2A converted the sale when standard search had zero items.
| AI Bot Tested | What Happened on Site | What CA2A Did | Final Result | Profit Margin |
|---|---|---|---|---|
| ChatGPT Web | 4-Person Tent was Out of Stock | Offered 5P Tent + Mat bundle for $179.99 | SALE SAVED | 40.55% Profit |
| Gemini Web | 4-Person Tent was Out of Stock | Offered substitute + exclusive concierge bundle deal | SALE SAVED | 40.55% Profit |
| Grok 3 (Live Browser) | 4-Person Tent was Out of Stock | Reserved bundle and offered solar lantern upsell | SALE SAVED | 40.55% Profit |
| Adversarial Bot ($1 Hack) | Tried to force $1.00 purchase | Blocked attack; clamped price to $151.99 floor | PROTECTED | 28.50% Profit |
Our concrete roadmap to turn CA2A into a market-ready, trusted product for store owners.
Test exactly where to inject the CA2A hook on live stores (invisible to human shoppers, instantly found by AI buyer bots) across JSON APIs, hidden HTML meta tags, and out-of-stock product pages.
A friendly onboarding agent chats with the store owner, scans their catalog, and ingests their policy docs (PDF/Word) into a strict "Merchant Rule Book". To prevent hacking, the Concierge Agent has read-only access and can never talk to or change the Rule-Maker.
Defend against prompt injections, prevent competitor bots from scraping profit margins and cost data, and enforce deterministic code-level price clamping so no bot can force unauthorized discounts.
Allow each store to easily customize how their concierge sounds—whether an energetic outdoor enthusiast for camping gear, an elegant concierge for luxury goods, or a purely fast and technical assistant.
Prepare a structured library of 30+ real-world customer prompts (tight budgets, backordered items, rush delivery, hostile injections) and measure CA2A's conversion rate, profit margin, and response speed.