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; a review workflow (nothing publishes unreviewed); attribute and alt-text coverage; and the documentation to run it 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, draft replies grounded in your policies and order data, escalation rules that keep refunds and anger with humans, and dashboards that 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, AI-drafted copy variants with human approval, deliverability hygiene, and attribution reconciled against store data rather than platform-reported numbers alone.
Signs you need it: flows unchanged since setup, discount-dependency, platform dashboards claiming revenue your P&L cannot find.