E-commerce Stores · AI Automation
Draft 4,000 Product Descriptions and Triage Gorgias Tickets Without Hiring a Second Ops Team
Running an e-commerce store means your team spends most of the week on work that repeats. Someone is rewriting product copy for a 4,000-SKU catalog migration. Someone else is answering the same "where is my order" and "how do I start a return" tickets in Gorgias. A third person is hand-tagging products so the Klaviyo flows segment correctly. Off-the-shelf apps cover maybe 60% of it, and the rest is glue work no plugin understands. We build the missing 40% — automation tuned to your catalog, your tone of voice, your shipping policy, and the way your merchandisers actually think.
What we build for E-commerce Stores
Generate on-brand product descriptions and meta from supplier sheets
Pull supplier feeds or PIM exports, draft titles, descriptions, bullets, and meta tags in your tone, and push to Shopify or BigCommerce as drafts your merchandiser approves. Handles variants, size charts, and category-specific attributes.
Auto-resolve repeat Gorgias and Zendesk tickets with order context
Classify incoming tickets, pull order status from Shopify and tracking from your 3PL, and draft replies for WISMO, returns, sizing, and discount-code questions. Agents only touch tickets that actually need a human.
Personalised post-purchase and replenishment flows beyond Klaviyo defaults
Score customers on real purchase patterns — replenishment cadence, category affinity, AOV trend — and feed Klaviyo segments and on-site recommendations that off-the-shelf plugins can't express.
How a Build Pod fits
A Build Pod is a small, dedicated AI engineering team that plugs into your stack — Shopify or BigCommerce, Klaviyo, Gorgias or Zendesk, your 3PL, your PIM, your warehouse system — and ships working internal tools you actually use on Monday. We start with a scoping call where your ops lead and head of CX walk us through the workflows that hurt most, and we come back with a 3-week plan to ship the first one.
After that, the pod keeps building. Month two might be a returns-fraud flagger; month three a buying-team copilot that drafts reorder POs from sell-through data. You stay subscribed as long as the backlog is worth more than the retainer — most stores find it is, because the work is genuinely endless and a plugin shop won't touch the custom 40%.
Frequently asked questions
- How long before we see working software in the store?
- Three weeks from scoping call to a working internal tool wired into your live Shopify or BigCommerce store. We pick the highest-ROI workflow first — usually catalog generation or ticket triage — so the pod pays for itself before month two.
- Will this replace our Shopify apps and Klaviyo?
- No. We sit on top of them. Shopify, Klaviyo, Gorgias, and your 3PL stay where they are; we build the custom logic and glue that those tools can't express, and write back into them through their APIs.
- Which e-commerce platforms and helpdesks do you support?
- Shopify and Shopify Plus first, then BigCommerce, WooCommerce, and headless setups on Next.js or Remix. On the CX side: Gorgias, Zendesk, Front, and Intercom. If you're on something rarer, we'll tell you in the scoping call whether it's a fit.
- What is the best software for ecommerce automation we already own that you'd extend first?
- Usually Klaviyo and Gorgias — both have rich APIs, both are already paid for, and both have obvious gaps that custom AI fills cleanly. We extend before we replace.
- Do you train models on our catalog and brand voice?
- We fine-tune prompts and retrieval on your product catalog, past approved copy, and brand guidelines so output reads like your team wrote it. We don't train foundation models on your data, and your data is never shared across pods.
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