CASE STUDY 1

Real-time freight pricing and operational visibility

A freight and logistics organisation operating across rapidly changing transport markets needed a faster, more reliable way to respond to changing conditions while improving operational confidence and margin control.

Industry
Transport & Logistics
Challenge
Fragmented pricing and manual handling
Solution
Connected operational pricing environment
Outcome
Faster quoting and pricing confidence

Overview

A freight and logistics organisation operating across rapidly changing transport markets was struggling with fragmented pricing processes, inconsistent freight visibility, and heavy reliance on manual operational handling.

Pricing decisions relied on multiple disconnected systems, spreadsheets, and manually updated transport variables across fuel pricing, freight costs, and operational movements.

As pricing volatility increased, the organisation needed a faster and more reliable way to respond to changing market conditions while improving operational confidence and margin control.

The challenge

The organisation’s existing pricing process had evolved over time without a unified operational structure.

Teams were manually managing pricing inputs across:

  • Fuel costs
  • Rail freight variables
  • Sea freight pricing
  • Transport routing
  • Operational surcharges
  • Customer pricing structures

This created several operational issues:

  • Slow quote turnaround times
  • Inconsistent pricing visibility
  • Increased operational overhead
  • Greater margin exposure
  • Limited real-time pricing confidence
  • Heavy dependency on manual operational knowledge

The organisation needed a more connected pricing environment capable of supporting real-time operational visibility and scalable growth.

Cortex approach

Cortex designed and implemented a connected operational pricing environment that unified fragmented pricing logic, operational inputs, and transport-related data flows.

The solution focused on:

  • Real-time operational visibility
  • Centralised pricing logic
  • Automated pricing workflows
  • Connected transport and freight information flows
  • Scalable operational architecture
  • Improved pricing governance and consistency

The platform was designed to support rapidly changing operational conditions while reducing the manual effort required to maintain pricing accuracy.

What changed

Following implementation:

  • Pricing information became significantly easier to access and maintain
  • Operational teams gained faster visibility into changing pricing conditions
  • Quote turnaround times improved
  • Manual spreadsheet dependency was reduced
  • Pricing consistency improved across operational workflows
  • Margin exposure became easier to identify and manage

The organisation moved from reactive pricing management toward a more operationally confident and scalable pricing environment.

Real-Time Freight Pricing Engine Transformation supporting case study image

Business outcomes

Faster quoting

Operational teams were able to respond faster to customer pricing requests.

Greater pricing confidence

More consistent visibility reduced uncertainty around freight and transport pricing.

Improved operational visibility

Pricing, freight, and transport variables became easier to monitor in real time.

Reduced operational friction

Manual handling and spreadsheet dependency were significantly reduced.

Scalable pricing foundation

The organisation gained a platform capable of evolving alongside changing operational requirements.

Looking to achieve something similar?

If pricing decisions still rely on spreadsheets, disconnected logic, or slow manual processes, Cortex can help you identify a better approach.