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Transportation & Logistics | Google Cloud Platform

Day & Ross Accelerates Freight Throughput and Scalability with Google Gemini Generative AI

Pythian assists trucking giant to ensure real-time data visibility and data accuracy for a better customer experience.

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Customer
    

Customer

Industry

Transportation & Logistics

Location

Canada

Solution

Google Vertex AI

Platform

Google Cloud Platform
    

Overview

Founded in 1950, Day & Ross is a North American transportation and logistics firm and one of the largest in Canada. With over 7,500 team members, the company specializes in cross-border, truckload, and less-than-truckload (LTL) (which consolidates smaller shipments from multiple shippers to the same destination), as well as dedicated fleets and residential delivery.

 

The manual processing of Bills of Lading (BOL)—which contain vital shipment data such as ship-to address, tracking number, total weight and number of pieces—required significant data entry into the company’s Transportation Management System (TMS) to label, unload and track shipments.

Day-&-Ross-Accelerates-Freight-Throughput-and-Scalability-with-Google-Gemini-Generative-AI
    

What we did

Vertex AI was used to create an all-in-one solution to automate data extraction from scanned BOLs, persist with the extracted data, validate the data against a labeled dataset provided by the client, and interface with the company’s TMS to validate accuracy and create real-time shipment data.

    

Technologies used

  • Cloud Operations Suite
  • Google Vertex AI (Gemini 1.5 Pro multimodal AI model)
  • Cloud Functions
  • Cloud Run
  • Cloud Storage
  • Identity and Access Management (IAM)
  • BigQuery
  • Pub/Sub
  • Eventarc
  • Secret Manager
  • Cloud Logging
  • Cloud Monitoring
        

Key Outcomes

With Pythian’s data extraction system in place, data entry staff are now much more effective and scalable through generative AI. The automated system was key to ensuring a smooth implementation of the TMS in their high-volume terminals.

“Wayfair has thousands of SQL applications and petabytes of data across our architecture. As we thought about modernization and leveraging Google Cloud, we relied on Pythian to be the experts on how to do it from an architectural perspective and then execute with our data team in actually getting it done.”
Matthew Ferrari

Head of Martech, Data and Machine Learning Platforms, and Infrastructure, Wayfair

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