Reducing a North American Logistics Provider Document Processing Time by 85% with AI-Powered Snowflake Automation

85%

Reduction in manual document processing time

7+

Vendor document formats in standardized structured extraction

1-2 Hours

Reduction in new vendor onboarding time

Background

The customer is a multi-region logistics and time-critical transportation provider operating across North America. The organization manages high volumes of vendor-submitted delivery documentation and integrates data from multiple Transportation Management Systems (TMS). Rapid operational execution and dispatch accuracy are core to their business model.

Challenge

The customer operated in a multi-system transportation landscape with high volumes of vendor-submitted delivery documents processed manually via email. Inconsistent formats created data entry inefficiencies and errors, while recent consolidation to a single TMS required reassessment of their Snowflake data warehouse models and AI experimentation to support scalable, production-ready automation.

Approach

Keyrus designed and implemented a Snowflake-native solution leveraging Cortex AI for intelligent document extraction and Snowpark for scalable transformation logic. We integrated email ingestion via REST APIs, standardized vendor data into structured Snowflake tables, and connected outputs to dispatch systems. In parallel, we stabilized and optimized the Snowflake data warehouse following TMS consolidation and initiated production-ready AI patterns through advisory and hands-on support.

Key results

Established Snowflake as the centralized operational data and AI platform, enabling automation of critical dispatch workflows and reducing reliance on manual processing.

Transitioned AI experimentation into scalable, production-ready patterns using Snowflake Cortex and Snowpark, creating a repeatable framework for future AI use cases.

'Delivered a scalable architecture that supports rapid onboarding of new vendors and document formats, improving operational agility across multiple regions.

Benefits

'The engagement enabled the customer to modernize both operational automation and their Snowflake data platform foundation. By combining AI-driven document processing with a centralized data warehouse, the organization improved dispatch accuracy, reduced manual effort, and established a scalable architecture to support future analytics, AI initiatives, and continued business growth across regions.

Technology partners

Snowflake

Snowflake is a data cloud platform that enables data warehouse storage, data lakes, and secures data sharing and consumption. It is a fully managed and easy-to-use service that can power an almost unlimited number of simultaneous workflows.

years of partnership

20+

Certified consultants