GACS AI is an AI chatbot for ecommerce that reads your product data and your policy pages, then answers shopper questions on your website chat widget, on WhatsApp, over email and on phone calls. When a question falls outside what it can safely answer, it hands the conversation to a person with the full transcript attached.
Most stores do not lose sales because their prices are wrong. They lose them in the gap between a shopper asking a question and anyone replying. A chatbot for e-commerce is only worth having if it closes that gap with a correct answer. This page covers what GACS AI answers today and what it will not do.
A shopper finds the jacket. They want to know if the medium is still available, because the last medium they ordered was tight across the shoulders. It is 11pm. The contact form promises a reply within one business day. They open a second tab, find something close enough elsewhere, and buy it there.
Nothing broke. No one made a mistake. The store just was not awake.
Baymard Institute pooled 50 studies of checkout behavior and found an average cart abandonment rate of 70.22%. Some of that is browsing that was never going to convert. A meaningful slice of it is not. Among shoppers who abandon for a reason a store can actually fix, 40% leave over extra costs, 20% over slow delivery, 19% because they do not trust the site with their card details, 18% over being forced to create an account, 17% over a checkout that takes too long and 17% over website errors.
Read that list again and notice what most of it has in common. Extra costs, delivery speed and trust are all information problems. The shopper does not have a fact, so they assume the worst version of it and leave.
In practice, four questions do most of the damage before checkout even starts.
None of these need a human. All of them need an answer inside about thirty seconds, and that is the part of ecommerce customer service that breaks first as a store grows. Zendesk CX Trends reports that 62% of CX leaders say they are behind on the instant experiences customers expect, and this is the shape that gap takes on a product page.
GACS AI builds its answers from sources you control. You import your website by URL, upload PDFs such as a size guide or a shipping matrix, write manual entries for the things that live in someone's head, and connect a Google Drive folder or a Notion workspace that stays in sync as your team edits it. The agent answers from that material. It does not improvise around it.
The sample exchanges below are illustrative. They show the shape of a real conversation, not a recorded customer session.
Today, availability answers come from your published product content: the sizes and colors a product is listed in. GACS AI shows the matching item as a card in the chat and says what your product content says. Live stock answers are still in build, so it will not quote a stock level it cannot see. That is a deliberate limit. A chatbot that confidently promises stock it cannot verify creates a refund, not a sale.
Fit questions are where a generic chatbot falls apart, because the answer lives in a size chart PDF that nobody reads. Upload the chart once and the agent can work from it, including the awkward cases between two sizes.
Delivery speed is the second biggest fixable reason shoppers abandon in the Baymard data. The agent answers from your published shipping policy, including cutoff times and the gap between processing and transit.
Notice what the agent did not do. It quoted the policy. It did not start a return, issue a refund or edit the order. GACS AI does not execute refunds, returns or order changes. Those go to a human.
Comparison questions are usually the last step before a purchase, and most stores answer them with a link to a category page. The agent compares items inside the conversation using the catalog and your own product copy.
This one matters because of how it is handled. On a Shopify store, GACS AI looks the order up in Shopify and tells the customer where it is. Shopify order tracking is live and included from the Starter plan. If the order cannot be found, or the store is not on Shopify, it collects the order number and email inside the conversation, says honestly what is happening, and hands the thread to a human agent with everything captured.
And when a person is needed, the handoff arrives with the order number attached, so the customer does not repeat themselves.
The six blocks above are mostly fashion, because sizing is the clearest case. The questions change by category. These are illustrative, written to show the shape of the answer, not recorded sessions.
Compatibility is the blocker, not size.
Shoppers ask about ingredients and usage, and this is where refusing to guess matters most.
Dimensions, lead times and delivery access decide the sale.
Across categories the pattern holds. The agent answers what your own material covers, and it stops where your material stops.
Answers that end in a wall of text lose people. GACS AI renders dynamic catalog cards in the chat, so a product comes back as an image, a name, a price and a link rather than a paragraph. The same card system handles property and course listings, so it is not shaped only around retail SKUs.
The cards are driven by the catalog you connect. This is what conversational commerce looks like in practice, with the browsing happening inside the chat rather than beside it.
AED 349
AED 420
The conversation does not stop when the order is placed. Delivery questions, exchange questions and the quiet ones about whether the second item shipped separately all arrive later, and in a lot of markets they arrive on WhatsApp.
GACS AI runs on your own WhatsApp Business number through Meta's official Cloud API signup flow. You connect it from the dashboard. There is no developer, no unofficial bridge and no second number for customers to learn. The same knowledge base answers there, the same handoff rules apply, and the transcript follows the customer between channels. Email and inbound or outbound phone calls run on the same agent. One conversation can move between Arabic and English without restarting, and the agent handles 50+ languages.
More detail on the WhatsApp setup is on the WhatsApp AI chatbot page.
Shopify order tracking is live. A customer asks where their order is, and GACS AI looks it up in Shopify and answers in the conversation. It is included from the Starter plan. Full catalog sync and live stock answers are still in build, and we are not going to pretend otherwise on a page you are reading to make a decision.
Here is what else works right now. The website chat widget is one snippet, so it goes on a Shopify theme the same way it goes on WooCommerce or a headless build. Your knowledge base is built from your live site content imported by URL, so product descriptions, policy pages and FAQ content are covered from day one. Catalog cards run from a connected product catalog. The six blocks above work on a Shopify store today, answering from your published catalog content and policies, with order tracking read live from Shopify. Live stock answers are still in build.
Catalog sync will add a tighter link to Shopify's own product data, and WhatsApp order updates are in build too. Order actions such as cancelling, refunding or changing an address are not something GACS AI does, so those go to a human with the details captured.
Calendly booking, WhatsApp bulk campaigns and streaming voice output are also in build. There is no native BigCommerce or Magento integration, and there is no live inventory lookup yet. If a sales conversation ever tells you otherwise, ask for it in writing.
Lists of the best ecommerce chatbots rank tools that do different jobs. There is no single best chatbot for ecommerce, only the one that fits how your store already runs.
Gorgias is a helpdesk first, built around ticketing for Shopify merchants. Tidio is a live chat tool with a bot layer, popular with smaller stores that want a widget up quickly.
GACS AI starts from a different place. It is an AI agent for ecommerce that answers from your own documents and catalog across the website widget, WhatsApp, email and voice, with a human handoff built in rather than bolted on. Pricing follows conversation volume and connected channels rather than per agent seat, so adding a colleague to the dashboard does not change the bill.
Longer breakdowns are on the Gorgias alternative page and the Tidio alternative page.
The agent is the front of the queue, not a replacement for the people behind it. Human agents get AI reply suggestions while they type, the full transcript of anything handed to them, and a usage dashboard showing what customers actually asked. Staff accounts and roles sit in the same dashboard. Zendesk CX Trends reports that 70% of CX leaders say generative AI makes every digital customer interaction more efficient.
The full feature list is on the features page, and plan detail is on the pricing page.
Yes. Shopify order tracking is live: customers can ask where their order is and GACS AI looks it up in Shopify. It also runs on a Shopify store through the chat widget snippet, the knowledge base built from your site content, and a connected product catalog. Full catalog sync and live stock answers are still in build.
No developer is needed beyond pasting one snippet into your theme for the widget, which anyone who can edit your theme or tag manager can do. WhatsApp connects on your own business number from the dashboard through Meta's official signup flow, with no developer. Importing site content, uploading PDFs and connecting Google Drive or Notion happen in the dashboard.
It says so and hands the conversation to a human agent with the full transcript, plus whatever it captured such as name, email and intent. The agent is set up to refuse rather than guess, and you define the rules for when it should stop.
Live chat is a channel that waits for a person. This answers on its own, at 2am, in the customer's language, from your documents, and brings a person in when the question needs one. You still get live chat, with less of the repetitive volume reaching it.
It answers questions about your returns policy accurately and in full. It does not execute the return. Refunds, returns and order edits are not something GACS AI performs, by design, so those conversations go to a human.
The honest way to judge an ecommerce chatbot is to point it at your real product data and policy pages, then ask the awkward questions your customers ask. Plans start at $149 a month for 500 chats with a one-time $299 setup, and pricing follows conversation volume and connected channels rather than seats. There is no self-service signup, so setup starts with a short conversation.
