E-commerce Stores · AI Dev Team
Shopify, Klaviyo, and Gorgias Glue: An AI Dev Team That Knows Your Catalog
Running an e-commerce store means your engineering wishlist never shrinks. PDP copy lags behind the catalog, Gorgias keeps surfacing the same five questions about sizing and shipping, and the recommendations widget you bolted on last year still surfaces out-of-stock SKUs. Off-the-shelf apps cover 60% of the work and leave the awkward 40% to your ops lead. An Asaasin Build Pod embeds with your Shopify, BigCommerce, or custom stack, learns your taxonomy and brand voice, and ships internal tools that handle the long tail your plugins can't.
What we build for E-commerce Stores
Generate on-brand PDP copy and alt text across thousands of SKUs
Pull product attributes from Shopify or your PIM, generate descriptions, bullet specs, and image alt text in your brand voice, then push back as drafts your merchandiser approves in bulk.
Triage Gorgias and Zendesk tickets by intent before a human reads them
Auto-classify incoming tickets into WISMO, returns, sizing, and product questions, draft replies grounded in your help center, and escalate edge cases with the order context already attached.
Build a recommendation engine on your own purchase and browse data
Replace generic 'frequently bought together' widgets with a model trained on your actual order history, inventory state, and margin data — surfaced through a Shopify section or headless API.
How a Build Pod fits
A Build Pod is a small team of senior AI engineers that plugs into your stack on a monthly subscription. We start with a one-week discovery: audit your Shopify admin, Klaviyo flows, Gorgias macros, and the spreadsheets your ops team actually lives in. We pick the workflow with the heaviest manual cost and ship a working internal tool in two to three weeks.
From there, the pod stays embedded. We write code against your real data — not a sandbox — review pull requests with your in-house engineer if you have one, and respect the rate limits and webhook contracts of the apps you already pay for. You get a dedicated Slack channel, a weekly demo, and a roadmap that bends around Q4 freeze instead of ignoring it.
Frequently asked questions
- How can I use AI for my ecommerce business?
- The highest-leverage uses we see are PDP and metadata generation across large catalogs, support ticket triage and reply drafting, demand and inventory forecasting, and personalised on-site recommendations trained on your own data rather than a generic plugin model.
- Which AI agents are best for e-commerce?
- There is no single 'best' agent — the right answer depends on whether your bottleneck is content production, support volume, merchandising, or forecasting. We usually start by instrumenting one workflow end-to-end so the agent has the context to actually be useful, instead of dropping in a generic chatbot.
- Can AI build me an online store?
- Tools like Wix and Shopify Magic can scaffold a storefront, but that is not what a Build Pod is for. We come in once you already have traffic, a catalog, and operational pain — and we build the internal tooling around your store that no off-the-shelf app covers.
- How long before we see working software?
- The first internal tool ships in two to three weeks from kickoff. We deliberately scope the first sprint small — one workflow, end-to-end — so your team is using something real before the second invoice.
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