Streamlining Food Label and Allergen Verification with AI

01Challenge

Changes Must Be Reflected Accurately Across Multiple Documents

Food label verification involves comparing supplier specifications, product formulations, nutritional data, and packaging artwork.

When each document uses a different format or terminology, employees must review the information line by line.

Missing updates or transcription errors may result in incorrect ingredient or allergen information, making careful review essential.

02Solution

Extract and Compare Label Information with AI and OCR

AI and OCR can extract relevant information from product specifications, ingredient documents, formulation data, and packaging artwork.

The extracted information can then be compared to identify missing or inconsistent details related to ingredients, allergens, nutritional values, and storage instructions.

For example, the following workflow can be established:

Quality assurance, regulatory, or legal teams remain responsible for reviewing and approving the final label.

03Use Cases

Potential Applications

• Extracting information from ingredient specifications
• Comparing formulation data with packaging labels
• Verifying allergen information
• Checking nutritional information
• Identifying sections affected by ingredient changes
• Detecting missing or inconsistent label information
• Managing revision and approval histories
• Registering approved information in product databases

04Expected Benefits

Improve the Accuracy and Efficiency of Food Label Verification

Automating document extraction and comparison allows employees to focus on discrepancies and items that require further review.

Centralized management of changes and approval histories can reduce dependence on individual employees and improve transparency throughout the label-development process.

Robo Lab combines AI, OCR, and workflow automation to support accurate and efficient label verification for food and beverage companies.