Ecommerce AI

Services

Catalog content pipeline

For: stores with hundreds to thousands of SKUs where descriptions, attributes, and alt text are missing, inconsistent, or copied from suppliers.

What you get: a generation pipeline grounded in your product data and brand voice examples. You also get a review workflow, so nothing publishes unreviewed. Attribute and alt-text coverage comes with it, plus the documentation to run the pipeline in-house afterward.

Signs you need it: supplier-pasted descriptions, blank alt text, category pages that read like a spreadsheet leak.

Support augmentation

For: teams whose helpdesk volume grew past what agents can triage by hand.

What you get: intent classification and routing, plus draft replies grounded in your policies and order data. Escalation rules keep refunds and anger with humans, and dashboards show deflection honestly — including where the AI was wrong.

Signs you need it: first-response times sliding, agents answering the same question forty times, a "chatbot" you turned off after a week.

Lifecycle automation

For: stores where email/SMS revenue depends on one person remembering to send campaigns.

What you get: segment and trigger architecture, plus AI-drafted copy variants with human approval. You also get deliverability hygiene and attribution reconciled against store data, not platform-reported numbers alone.

Signs you need it: flows unchanged since setup, discount-dependency, platform dashboards claiming revenue your P&L cannot find.

Service questions

Which platforms do you work with?

Shopify comes first, since that is where the demand and the APIs are. We also work on the systems around it: helpdesks like Gorgias and Zendesk, email and SMS platforms like Klaviyo, and product-data sources wherever they live. Non-Shopify stores are case-by-case on the audit call: the patterns transfer, but the connectors vary.

What do you refuse to build?

Unsupervised customer-facing chatbots with purchase or refund authority. Review-generation schemes, fake-urgency mechanics, and AI content pipelines with no human gate. That is partly ethics and partly self-interest: every one of those eventually produces the screenshot that costs more than the contract paid.

How does an engagement start?

It starts with a free audit call: your platform, volume, and the workflow that hurts. If there is a project, you get a written scope with deliverables and an owner-handover plan. If there is not, you get told so. "Install the native feature and skip us" is a real outcome of these calls, and the guide pages exist so you can sometimes reach it without calling.

Book an audit call