Self-service, conversational access to shipment and order data without dashboard requests
Shipment status, on-time performance, and order details available without technical support
Data architecture validated for scalable, governed generative AI adoption
A premier provider of transportation and logistics services wanted to give its logistics and operations teams instant, conversational access to shipment and order data, without depending on dashboards or technical support. The existing analytics workflow forced operators to wait for engineering or BI teams to build views, slowing decisions and creating a queue of requests that scaled poorly as the business grew.
The company also wanted to validate the role of generative AI in analytics and determine whether its existing data environment could support future AI initiatives at scale, with the governance and architecture to match.
OneSix partnered with the client to deploy a conversational analytics solution built on Snowflake Cortex Analyst, with a semantic model grounded in the company's specific business logic. The chat interface lets operators query shipment status, on-time performance, and order-level details in natural language, with responses validated against trusted dashboards to confirm accuracy before the system was rolled out to users.
OneSix also delivered user training to drive adoption and a structured review of the broader data environment, producing actionable architectural recommendations for scaling generative AI responsibly. The review covered scalability, governance, and readiness, giving leadership a clear view of where the current architecture supports future AI work and where investment is required.
The result is faster time-to-insight for the operations teams that depend on shipment and order data, reduced load on technical resources, and a validated foundation for generative AI initiatives across the business.
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