Athena by Shoplazza - An orchestrator agent for your entire commerce stack
Athena helps you build a polished, launch-ready store with complete pages, products, and localized copy. From there, it keeps the business moving by creating products in bulk, setting up discounts, configuring shipping, and launching ad campaigns. Payments, logistics, fulfillment, and loyalty are built into the same platform, so the store Athena creates is not just a storefront. It is ready to operate as a real business.
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Congrats, team! Store creation is already getting crowded, but connecting the storefront to the actual work of running the business feels like a much harder and more valuable problem.
@carlvert Thanks for the support! You’re right. The real challenge is helping merchants operate and grow their business after launch. Athena is designed to bridge that gap by connecting storefront creation with real commerce workflows, helping merchants manage daily tasks and scale more efficiently.
I’m curious how much context Athena needs before it starts producing useful results. Can a new merchant simply describe the brand and products, or is there a longer setup process?
@orman_canida Just the description is enough to start — "I sell handmade ceramic tableware, minimalist Japanese aesthetic, mid-to-premium pricing" gets you a genuinely usable store, not a placeholder. If you have product photos or an existing catalog, even better, but there's no mandatory setup questionnaire.
@orman_canida Describing the brand and products is genuinely enough to start. There's no configuration phase.Concretely: you can open with a product photo, a store URL, or just a sentence about what you sell. Athena reads the image to infer category, product attributes and likely audience, then asks a short round of questions — target market, style direction, a few brand specifics — and generates three previewable store versions in about three minutes, with localized copy and currency for the markets you named. Each round is regenerable, so you're steering rather than filling out a form.The more useful framing might be that context accumulates rather than gets front-loaded. Day one she's working off what you told her plus what she can infer from your catalog. A few weeks in she's working off your actual order, traffic and conversion data, which is when the analysis side gets interesting — asking her why conversion dropped 12% last week only means something once there's a baseline to compare against. So: near-zero setup cost, and the answers get sharper the longer the store runs.
Congrats to the team @ryancheng @jeff_pz . This feels useful for people who know their product well but have no idea how to structure an online store. Curious how much guidance Athena gives along the way.
@jody_l_wyatt Thanks Jody — that's exactly the merchant we built for. The guidance is structural rather than instructional: the store comes out with the pages a working shop needs already in place — home, product detail, collections, About Us, shipping and returns, email capture, checkout wired up. That's the part merchants don't know to ask for, so we don't make them ask.
On top of that there's an onboarding flow that walks you through the next steps after the store exists — connecting payments and shipping, first products, launching ads — so you're not left guessing what comes after "site generated." And it keeps going past launch: she'll flag a conversion drop and show where it's likely coming from. You're always reviewing a concrete proposal, not facing a blank page.
Really clean execution. The scope here is ambitious, covering everything from listings to ads to analytics in one product.
@charlenechen_123 Thanks for the kind words, Charlene! We appreciate you recognizing the scope of what we’re building.
Solo founder here. The idea of delegating store ops to an AI and just reviewing results sounds almost too good. Will test and report back.
@s_cen Thank you Steven! Yes please have a try and look forward to your feedback.
@s_cen "Almost too good" is the right amount of skepticism to bring, and testing beats taking our word for it. Where it holds up best is the repetitive middle of the day — bulk product work, discounts, shipping setup, order handling, the ad testing loop. Where you'll still be doing the thinking is the calls that are actually yours: what to sell, what the brand should be, what a drop in conversion means for your strategy. Genuinely looking forward to the report back, including the parts that fall short.
Amazing product! Congrats on this launch!
@peng_wood Thank you Wood!
This. So much this. People underestimate how much those 'few hours' actually drain your productivity.
@callmemhz Right — and it's rarely the hours themselves, it's that they're scattered across the day in ten-minute pieces, so you never get a clean block to think about the actual business. Cutting the count of context switches usually matters more than cutting the total time.
Hey! Congrats on the launch! Been testing Ai agents all year but can't complete real multi-step. Hoping this one is diff.
@tony_hsieh2 That failure mode is usually the same one: general-purpose agents driving a UI they don't understand, where step four fails and you can't tell why. Athena works a narrow domain with native write access to the backend — she's not clicking through screens, she's operating the same records the merchant does, which is why multi-step holds up. Worth testing on something that actually spans steps rather than a single command, that's where the difference shows.
Nice product
@madalina_barbu Thanks, Madalina! We’re glad Athena caught your attention and appreciate your interest in what we’re building.
This looks super useful for solo sellers. Running a cross-border store alone means drowning in repetitive backend work. Curious how much time Athena saves on product listings.
@addisonraypo Solo sellers are honestly the group this changes the most, because there's no one to delegate the repetitive half to. On listings specifically, the biggest saving isn't typing speed — it's that sourcing a product URL, creating it, writing the description, setting attributes, assigning it to a collection and localising it for your markets collapses from a sequence of screens into one instruction, with a preview at the end. Batch import from a supplier URL or a spreadsheet turns an afternoon into a few minutes. I'd rather not throw a number at you since it swings a lot with catalog size and how much editing you do after, but the shape of it is: the work goes from "doing it" to "checking it."