How to Choose an AI Sales Agent for Your Shopify Store

Search the Shopify App Store for "AI sales agent" and you will get pages of results that all describe themselves the same way and behave completely differently. Some are 2019 chatbots with a new adjective. Some are genuinely capable agents. The listings will not tell you which is which — the demo video always looks great, and the pricing page never mentions the failure modes.

This guide is the evaluation framework we wish every merchant had before signing up for anything. A disclosure up front, so you can calibrate: we build Lumosofy, an AI sales agent for Shopify, so we are a vendor in this category. The checklist below is deliberately vendor-neutral — it is the same set of questions we would want to be asked.

Chatbots vs. agentic commerce#

The single most important distinction in this category is whether the product answers or acts. Everything else is detail.

Neither column is "wrong." If your goal is deflecting support tickets, a chatbot is cheaper and simpler, and you should buy one without apology. But if the pitch you are hearing is about sales — recovered carts, converted browsers, revenue at 2am — then the product needs to sit in the right-hand column, and most do not.

The test is one question: can it complete a sale without a human, and show you where it did? If the honest answer is no, you are buying a chatbot, whatever the listing says.

The evaluation checklist#

Five areas, in the order they tend to matter. For each, questions to put to the vendor — ideally in a live session against your store, not their demo store.

1. Catalog grounding#

An agent that hallucinates a discontinued variant is worse than no agent, because it burns trust at the exact moment of purchase intent.

• Is product knowledge synced live from Shopify, or from a periodic export? How stale can it get?
• What happens when a product goes out of stock mid-conversation?
• Can it handle variants correctly — sizes, colors, bundles — or only top-level products?
• Ask it about a product you deleted last month. A grounded agent says it is unavailable; an ungrounded one describes it enthusiastically.

2. Checkout actions#

This is the line between answering and selling.

• Can the agent build a cart, apply discount codes, and take the shopper to a ready checkout?
• Which actions can it take autonomously, and which require shopper confirmation? (Both lists should exist.)
• How does it behave with shipping questions, address problems, and payment failures — the unglamorous 20% where sales actually die?

3. Brand voice#

The agent speaks to more of your customers than any employee ever will.

• How is voice configured — a real style system, or one "tone" dropdown?
• Ask to see the same answer for a luxury brand and a discount brand. If they read identically, keep looking.
• What are the guardrails against overpromising? An agent that invents a return policy in your brand voice is a liability with good manners.

4. Analytics#

If you cannot measure it, the subscription is a leap of faith renewed monthly.

• Does it attribute revenue, not just conversations? Can you see which sales the agent touched and how?
• Can you read transcripts, filtered to the conversations that went wrong?
• Is there an honest funnel — engaged, assisted, converted, escalated — or a single vanity "engagement" number?

5. Safety#

• What can the agent never do — and is that list enforced in the system, or in the prompt?
• How does it handle an angry customer, a refund demand, a legal threat? When does it escalate to a human, and with what context?
• Where does conversation data go? Is it used to train shared models? Your customers' messages are yours, not a vendor's training set.

Red flags, from the field#

• No live demo against your own catalog. The demo store is rehearsed; your store is real.
• "Fully autonomous from day one." Serious vendors talk about confirmation boundaries and escalation paths, not total autonomy.
• Uplift numbers with no context. A percentage without a baseline, sample, or timeframe is marketing, not measurement — ask what it was measured on, and expect a straight answer.
• No transcript access. If you cannot read what the agent said, you cannot trust it — and the vendor knows that.
• A setup project measured in weeks. On Shopify, native integration is a solved problem; long implementations usually signal a retrofit.

Where Lumosofy fits#

Honestly, then: Lumosofy is our entry in the right-hand column of that table. It installs into Shopify with one click, syncs your catalog automatically, remembers shoppers across conversations, and handles agentic checkout — the cart-building, discount-applying, purchase-completing loop — rather than linking out and hoping. It works 24/7, which matters more than it sounds: the shoppers nobody serves are disproportionately the ones outside your working hours.

On results, we hold ourselves to the standard in the checklist above: our +32% average conversion uplift comes from pilot deployments, and we label it that way everywhere — including on stage at InnovNation Serbia 2025, where Lumosofy took 2nd place. Pilot data is exactly that: strong evidence, honest sample size. Lumosofy is in early access now, which means fewer merchants, more attention per store, and a roadmap you can still influence. If that trade appeals to you, the early-access list is open. If you would rather wait for the category to mature — that is a defensible choice too, and the checklist will still be here.

---

If you are evaluating agents right now and want a second opinion — on any vendor, including us — book a 30-minute intro call. We will run your shortlist through this checklist with you and tell you plainly what we would pick in your position, even when the answer is not Lumosofy.