Appliance authority
Weighted registry with live price and availability checks. Dead listings retire themselves.
Commerce & affiliate
Commerce AI fails on data, not models. Product attributes are incomplete, prices and stock change hourly, and an assistant that recommends a discontinued SKU or a wrong price costs more than it earns. We start with the catalog and the feeds, then build the AI on top.
We build retrieval over your catalog, enrichment pipelines that fill missing attributes with review gates, shopping assistants that only answer from live data, and the click and conversion layer that tells you which AI surface actually produced revenue.
Start a project
Step 1 of 5
Got it. An engineer is reading your brief.
You will hear from us within one business day, usually sooner. If it is urgent, email t@moher.ai.
What we build
LLM extraction of attributes from titles, specs and images into a typed schema, with confidence scores and a review queue for low-confidence rows.
Hybrid keyword and vector search over your SKUs with filters, synonyms and reranking, evaluated against real query logs.
A conversational layer that answers from live catalog, price and inventory data through tool calls, and declines when the data is missing.
Scheduled agents that verify listings against merchant feeds and retire dead products before a reader clicks them.
First-party click IDs and server postbacks so revenue per page, placement and AI surface is reconciled to what merchants actually pay.
Copy generated from catalog fields and source documents only, with claim checks and a named human gate before publish.
Shipped in this industry
Client names stay under NDA. The shapes do not.
Weighted registry with live price and availability checks. Dead listings retire themselves.
Storefront, brand and acquisition under one retainer. Reported on contribution.
Something else? Email t@moher.ai and an engineer will answer it.
Shopify, BigCommerce, WooCommerce, custom stacks and merchant or affiliate network feeds. We work through their APIs and webhooks rather than scraping where an API exists.
Prices and stock are never generated. They come from a tool call against live data at answer time, and the eval suite checks that every quoted price matches the source.
Card data never touches the AI layer; checkout stays with your PCI-compliant provider. Customer PII is minimised before it reaches a model, and we work inside your existing privacy program.
Yes. Shared enrichment, link checking and attribution across many sites is a common shape for this work.
Usually catalog enrichment or search, because every later AI feature depends on clean product data. Six to ten weeks to production.
Four quick questions and an email. An engineer reads every brief and replies within one business day with next steps, and a written scope follows within a week.
Start a project
Step 1 of 5
Got it. An engineer is reading your brief.
You will hear from us within one business day, usually sooner. If it is urgent, email t@moher.ai.