2024 Year in Review

Our core offering is now the largest data catalog of U.S. food products. In addition, our services are now deployed in commercial use with multiple clients, following a successful period of beta implementations at the start of this year.

Here’s what we accomplished and how we’re preparing for a bigger impact in 2025:

Scale and Quality

We’ve built the most comprehensive data catalog of U.S. packaged foods, while continuously increasing product coverage, enhancing attributes, and advancing quality.

Our Food Knowledge Graph grew to 630,000 unique products, an increase of 36% this year.

Our catalog now includes all packaged foods offered by:

The growth in our catalog is powered by the ongoing addition of new data sources and refreshing them regularly to capture new product introductions.

New and refreshed data sources also afford our algorithms more opportunities to select only the highest-caliber attributes for inclusion.

Product Assortment

In 2024 we have observed:

• A shift to retailer-branded private label products
• The accelerating introduction of new flavor and size variants
• Increased seasonal product launches (e.g. Thanksgiving)
• Products offered via eCommerce only, i.e. not available in-store
• Retailers improving Product Detail Pages, especially their image carousels
• Retailers opening up marketplaces to compete with Amazon

Recent Use Cases

Our catalog and analytics are being used by clients and explored by prospects to:

• Monetize receipts
• Support Retail Media Networks
• Enhance consumer apps
• Resolve messy GTINs

• Audit Product Detail Pages
• Enable in-store analytics
• Build marketplaces
• Match GTINs to SKUs

Innovations

2024 was about innovations that power our scalability and quality, including:

• Domain knowledge: Food products differ greatly from alcohol, cleaning, and other categories in their data types and meaning. We invest continually to accurately transform and catalog diverse product data.

• Smarter with AI: AI is a game-changer in speed and accuracy, amplifying our domain knowledge.

• Solving broken GTINs: Our proprietary approach resolves messy GTINs in milliseconds, and continues to advance as new types of mutations arise.

• Elevating quality attributes: Every data source presents its own “truth”. Even for basic information such as ingredients, attributes for the same product may be presented differently. Our algorithms adjudicate across disparate sources to achieve a holistic catalog that is greater than its parts.

Looking Ahead

In the year ahead, we’ll invest even more in AI, continue to scale our catalog, and push the boundaries of what’s possible with grocery product information.

Thank you for being a part of our story. Please contact me if there's anything we can do to support you in achieving your goals.

Warm Regards,

David Goodtree

Founder and CEO, Foodgraph