E-commerce Stores · AI Dev Team
AI Dev Team for E-commerce Stores That Ships in Weeks, Not Quarters
Running an e-commerce store in 2026 means you already know where the leverage is: a catalog that describes itself, a support inbox that deflects the repeat tickets, and a recommendation layer that actually knows your SKUs. The problem is finding engineers who can ship against your Shopify, BigCommerce, or headless stack without a six-month ramp. Asaasin's Build Pod is a dedicated AI dev team that plugs into your product, merchandising, and CX workflows and starts moving the needle on catalog ops, ticket deflection, and on-site personalisation in the first sprint.
What we build for E-commerce Stores
Generate and refresh product descriptions across a large SKU catalog
Ingest your PIM, images, and spec sheets to auto-draft on-brand descriptions, bullet points, and meta tags per variant. Human review stays in the loop via a merchandising queue so nothing ships unchecked.
Deflect repeat support tickets with a store-aware AI agent
Train an agent on your order data, returns policy, and help center so WISMO, sizing, and refund questions resolve inside Gorgias, Zendesk, or Kustomer. Escalations route to humans with full context attached.
Build a first-party recommendation engine beyond off-the-shelf plugins
Replace generic "you might also like" widgets with models trained on your order history, browse behaviour, and margin targets. Serve recs on PDPs, cart, and post-purchase email via your existing CDP.
How a Build Pod fits
A Build Pod is a small, senior AI engineering team that embeds with your operation for the duration of the work. For an e-commerce store that usually means one backend engineer who knows your commerce platform, an AI engineer who owns the model and eval layer, and a tech lead who runs the roadmap with your head of e-com or CTO. We work inside your Shopify, BigCommerce, Commercetools, or custom stack, your existing CI, and your existing CX and merchandising tools.
The first two to three weeks are about shipping one real workflow end-to-end, not a slide deck. We scope a single high-leverage loop (catalog generation, ticket deflection, or recs), wire it into production behind a feature flag, and run it against a slice of real traffic with measurable guardrails. From there the pod keeps compounding on the same stack sprint after sprint, instead of you re-onboarding a new agency every quarter.
Frequently asked questions
- How long before we see working software in our store?
- Most pods have a first workflow in staging within the first sprint and behind a feature flag in production within two to three weeks. We scope narrowly on purpose so the first ship is real, not a prototype.
- Do you work inside our existing stack, or do we need to migrate?
- We embed in your stack. That includes Shopify and Shopify Plus, BigCommerce, Commercetools, custom headless setups, and CX tools like Gorgias, Zendesk, and Kustomer. No platform migration required to start.
- Who owns the code and the models once the pod ships them?
- You do. Everything lives in your repos, your cloud accounts, and your data warehouse from day one. The pod is a team you subscribe to, not a vendor holding your IP hostage.
- How is this different from hiring a freelancer or a traditional dev shop?
- A Build Pod is a dedicated, senior team that stays with you month over month and specialises in AI features for commerce. You get continuity and compounding context instead of restarting discovery with a new contractor every engagement.
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