End Manual Entry Errors, Delays & Costs

Accuracy in detecting languages assures the accuracy of the spelling of all words.

Accuracy in detecting layouts improves recognition against previously seen POs for highly accurate contextualization of data.

Accurately sees each line as distinct to improve the accuracy of data detection and analysis within each line.

Industry-leading data accuracy that improves immediately due to the quantity and quality of training data – supported by highly effective feedback learning to improve accuracy even further.

Breaks down addresses into individual and grouped components to aid cross-referencing that the entire address is accurate and empowers the ability to identify multiple ship-tos and drop-ships.

Adjusts units of measure and date formats to reflect preferred standards, ensuring accurate quantities, pricing, and scheduling. Converts variations like cases, packs, and regional date formats (e.g., MM/DD/YY vs. DD/MM/YY) for seamless order processing.

Every extracted order field and line item includes an AI-assessed confidence score, revealing how certain the AI is in the accuracy of each processed order. This transparency gives your team the clarity to trust, review, or correct data with precision. It’s the foundation for smarter automation decisions and workflow refinement.

Orders are automatically processed or flagged for review based on configurable AI confidence thresholds. These thresholds allow organizations to align automation decisions with specific business objectives—prioritizing speed, cost reduction, or risk mitigation as needed. This approach ensures touchless processing is applied where confidence is highest, while maintaining human review as needed.

Orders that arrive in formats that lack structure or consistency such as text in the body of an email, or a handwritten request are interpreted, extracted, normalized, and mapped to the appropriate ERP fields, providing automation coverage across even with unstructured notes with incomplete details.