E-commerce Stores · MVP in 3 weeks
Three Weeks to a Working Catalog Copilot That Plugs Into Shopify, Klaviyo, and Gorgias
Your merchandiser is rewriting the same product description for the 400th SKU this quarter, your CX lead is closing the same five tickets about sizing and shipping windows over and over, and the recommendation widget on your PDP is whatever your theme shipped with. Off-the-shelf apps don't know your catalog taxonomy, your return policy edge cases, or that variants from supplier A always need a different size chart. In three weeks, an Asaasin Build Pod scopes one of those workflows, wires it into Shopify, Klaviyo, and Gorgias, and hands your team a working internal beta they can actually use on Monday morning.
What we build for E-commerce Stores
Bulk product description generator tuned to your brand voice and PDP schema
Pulls SKUs from Shopify, generates titles, bullets, and long-form copy against your tone guide, and writes back as drafts your merchandiser approves in bulk — including metafields and variant-aware size charts.
Gorgias ticket auto-drafter for your top five repeat questions
Classifies inbound tickets (sizing, WISMO, returns, restock, discount stacking) and drafts a reply grounded in your real policy doc and order data, so agents approve instead of typing from scratch.
On-site recommendation engine trained on your catalog and order history
Replaces the generic 'you may also like' plugin with recs built from your purchase pairs, return rates, and margin data, served via a lightweight API your theme can call on PDP and cart.
How a Build Pod fits
Week one is scoping with your merchandising and CX leads — we pick ONE workflow that hurts the most, map it against your Shopify schema, Klaviyo flows, Gorgias macros, and whichever 3PL or ERP sits behind them. You get a written spec by Friday with the integrations named, the model choice justified, and the success metric agreed.
Weeks two and three are build and internal beta. The Pod ships into a staging store, hooks into your real (sandboxed) catalog, and we iterate with your team daily on Slack. By the end of week three you have an internal tool your merchandiser or CX lead is using on live work — not a slide deck, not a Figma, a thing that runs. From there it's month-to-month: keep the Pod to extend it, pause when you don't need it.
Frequently asked questions
- What is MVP in eCommerce?
- In our context an MVP is a working internal tool — a catalog copy generator, a ticket auto-drafter, a custom recs API — that your team uses on real data after three weeks. It's not a public storefront feature; it's the smallest version of the AI workflow that proves it earns its keep before you invest further.
- How long before we see working software touching our real catalog?
- End of week one you see the spec and integration plan. End of week two you see a build running against a staging copy of your Shopify catalog. End of week three the internal beta is live for your merchandiser or CX lead to use on actual SKUs and tickets.
- Do you work inside our existing Shopify, Klaviyo, and Gorgias stack or replace it?
- We build on top of it. The Pod uses Shopify Admin API, Klaviyo events, and Gorgias webhooks the way they're meant to be used — nothing rips out your stack, and your team keeps owning those tools.
- What is ecommerce automation in the way you build it?
- It's stack-aware automation: the Pod writes code against your specific catalog shape, your specific return policy, and your specific tone guide, instead of dropping in a generic SaaS plugin that treats every store the same.
- What happens after the three weeks if we want to keep going?
- The Build Pod is month-to-month. Most stores keep the Pod for a second sprint to harden the MVP, add the next workflow (recs after copy, or copy after tickets), and only then decide whether to scale down or extend further.
Ready to ship AI for e-commerce stores?
A Build Pod gets working AI into your stack in 2–3 weeks. Month-to-month, cancel any time.
Talk to a Build Pod