All Points DFS Case Study

SEO Automation Helping A 200,000-SKU Foodservice Catalog Become Easier To Find

All Points DFS AI catalog SEO workflows
All Points DFS AI catalog SEO workflows
Operational excellence workflow visualization

About All Points DFS

All Points DFS is part of Diversified Foodservice Supply and operates in a catalog environment with roughly 200,000 SKUs. CoPilot helped the team use AI to create SEO efficiencies at scale across product descriptions, category descriptions, images, alt text, and SEO-related metafields.

Engagement details
IndustryFoodservice Distribution
Focus AreasCatalog SEO, Product Content, Metafields
Systems
Product DescriptionsCategory ContentImage Alt Text
Services Used
Generative AISEO AutomationCatalog OperationsAI Engineering
About the project

What All Points DFS was facing

The challenge

A catalog with roughly 200,000 SKUs creates a content challenge that cannot be solved product by product. Product pages, category pages, image metadata, and SEO fields all need enough structure and quality to be useful, but manual work does not scale cleanly across that volume.

The challenge was to build AI workflows that could create and organize content at catalog scale while keeping quality, consistency, and review patterns in mind.

About the project

What we built

Catalog SEOProduct CopyAlt TextMetafieldsContent Automation

We built AI-assisted SEO workflows across a large SKU catalog, including product copy, category descriptions, images, alt text, and SEO-related metafields.

The system creates structured product and category content that can be reviewed, governed, and applied across a large catalog. It also supports image alt text and related metadata so products become easier to understand, maintain, and discover.

CoPilot focused on repeatable content patterns that help the team scale SEO improvements without turning every SKU into a one-off manual task.

Program wins

Key results

Catalog-Scale Coverage

AI workflows support content creation across a large SKU environment.

More Consistent Product Pages

Descriptions and metafields follow clearer patterns across the catalog.

Stronger Search Signals

Alt text, category content, and product copy improve discoverability foundations.

Faster Merchandising Workflows

Teams get structured drafts instead of starting every page from scratch.

Why it matters
For large distributors, AI creates leverage when it brings structure and quality to work that is too broad to improve manually at the pace the catalog demands.

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