Groundbreaking Artificial Intelligence for product categorization

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Artificial Intelligence for eCommerce

Efficient, powerful, an industry game-changer. FeedAi offers extraordinary accuracy and improved product performance through the power of Artificial Intelligence.

The Challenge

Accuracy of Product Categorization

Product categorization is significantly more difficult than classical Artificial Intelligence classification problems like spam, where you have to classify into only spam or not spam. In eCommerce, there can be tens of thousands of distinct categories.

Artificial Intelligence accuracy for Google Vs FeedAI

Our Feedonomics AI Accuracy

For the most common categories like Fashion and Jewelry, we get over 99% accuracy. 

*Margin of Error = 1% (Confidence Interval of 99%)

The Solution

Precise Automation

FeedAi™ is a revolutionary step forward in the feed optimization industry. Our newest technology takes the effort (and errors) out of product categorization, leaving you free to innovate and grow.

Categorization

Categorize into any custom taxonomy, including Google Shopping

Efficiency

Save time – instantly categorize products. Over 50% of feed optimization is spent categorizing products

Performance

As new products come in, they are automatically categorized, resulting in better performance

Accuracy

Better accuracy than manually categorizing one by one or with rules

Flexibility

Works for any channels that accepts a Google Product Category, including Google Shopping, Facebook, Instagram, Microsoft Shopping, Pinterest, and Snapchat

The Solution

Precise Automation

FeedAi™ is a revolutionary step forward in the feed optimization industry. Our newest technology takes the effort (and errors) out of product categorization, leaving you free to innovate and grow.

Categorization

Categorize into any custom taxonomy, including Google Shopping

Efficiency

Save time – instantly categorize products. Over 50% of feed optimization is spent categorizing products

Performance

As new products come in, they are automatically categorized, resulting in better performance

Accuracy

Better accuracy than manually categorizing one by one or with rules

Flexibility

Works for any channels that accepts a Google Product Category, including Google Shopping, Facebook, Instagram, Microsoft Shopping, Pinterest, and Snapchat

Artificial Intelligence results for amazon product taxonomy

Examples

When Rules Fail

Explore the real-world challenges of using rule-based categorization. We’re creating a faster, smarter process.

Examples

When Rules Fail

Explore the real-world challenges of using rule-based categorization. We’re creating a faster, smarter process.

Examples

When Rules Fail

Explore the real-world challenges of using rule-based categorization. We’re creating a faster, smarter process.

Our Team

Leaders in Feed Innovation

We are revolutionizing the feed optimization industry with game-changing research and technology.

Our Team

Leaders in Feed Innovation

We are revolutionizing the feed optimization industry with game-changing research and technology.

Our Team

Leaders in Feed Innovation

We are revolutionizing the feed optimization industry with game-changing research and technology.

Case Study

FeedAi™ in Action

Tested on a typical Feedonomics client that sells across ~80 unique categories

FeedAi™ was over 17x faster than manual categorization

Saved us over 5.5 hours of having to manually categorize products

FeedAi™ accuracy was 98.4%