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TYPE AI Automation TIMELINE Ongoing

Salem Wine & Liquor

Six decades of wine expertise, now with an AI catalog engine.

Salem Wine & Liquor is a family-owned fine wine and spirits shop that has served South Salem, New York since 1966, and Eyal Gantz is the AI and automation engineer behind its online catalog. A decades-deep selection is a strength in the store and a liability online: thousands of SKUs with thin descriptions, missing images, and inconsistent categories make a storefront hard to browse and impossible to keep current by hand. Gantz designed and built an AI enrichment pipeline that treats the catalog as a living system. Running on Laravel against the Square Catalog API, with LLM enrichment through Claude, AI image sourcing, Cloudflare Workers, and queues, it writes trustworthy product descriptions, finds the right bottle imagery, and sorts thousands of wines and spirits into a coherent category tree. Pricing intelligence and inventory automation sit on top, so the storefront stays accurate and well merchandised on its own.

Updated

Challenge

What problem did Salem Wine & Liquor have?

A decades-deep selection is a strength in the store and a liability online: thousands of SKUs with thin descriptions, missing images, and inconsistent categories make a storefront hard to browse and impossible to keep current by hand. Maintaining that catalog manually simply doesn't scale.

Solution

How did Eyal solve it?

I designed and built an AI enrichment pipeline that treats the catalog as a living system. It generates trustworthy descriptions, finds the right bottle imagery, and sorts every product into a coherent category tree, then layers in pricing intelligence and inventory automation so the online presence stays accurate and well-merchandised on its own.

Results

What were the results?

1000s SKUs auto-enriched
AI descriptions · imagery · categories
Est. 1966 South Salem, NY
Technologies
Laravel Square Catalog API LLM Enrichment (Claude) AI Image Sourcing Cloudflare Workers Queues
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