Case studies/Manufacturing

LLM in freight investment

We designed the strategy to integrate a “Freight GPT” system into a freight trading platform - improving the accuracy and efficiency of its operations.

LLM strategyPricing modelIntegration
// The challenge

Where it started.

A freight trading platform needed to price each shipment accurately and disseminate information to users efficiently.

// Our approach
  1. 01

    Designed a strategy to integrate Freight GPT into the trading platform.

  2. 02

    Built pricing that uses shipping congestion, seasonality and cargo type.

  3. 03

    Created an assistant to disseminate information to users.

  4. 04

    Focused the initial rollout on specific ports in the South China Sea.

// The outcome

What it delivered.

per-shipment
pricing
live
congestion + seasonality
assistant
for users

Each shipment priced from live, multi-signal data.

Improved accuracy and efficiency of platform operations.

An assistant that surfaces the right information to users.

// Your move

Cross the divide. Own your AI.

From pilot to production in weeks - tuned to your business, deployed in your cloud, owned by you. Let’s talk about the project on your desk.