Case study / Proeco Global Logistics

Transport · Freight forwarding · Europe

One environment
for transport operations.

A TMS platform connecting freight forwarders’ work, data, communication, settlements and process control — designed for the real pace of European logistics.

Meet Proeco GL

01 — Context

Logistics does not happen
inside one system.

Proeco Global Logistics organises road transport across Europe through a network of carriers and partners. Every job brings together people, deadlines, documents, communication and operational risk.

The challenge is not merely recording data. It is preserving the full context and guiding the team from the first quote to settlement without losing information on the way.

02 — Solution

A TMS as the company’s
operating system.

Not another data-entry screen, but an environment that structures decisions, workflow and accountability.

PROECO GLOBAL LOGISTICSOPERATIONS / LIVE● ONLINE
BOARD / TEAM

Operational picture

Needs attention12
In progress24current status
Documents06to review
Responses92%within SLA
01Transport / DE → PLIN PROGRESS
02CMR documentREVIEW
03Carrier responseREADY

View recreated for presentation purposes. All figures, routes and statuses are examples — we do not publish the client’s operational data.

03 — Scope

From quote
to settlement.

The platform gives the team a shared language and creates a foundation for further automation and AI agents.

01

Operations cockpit

A team board, current priorities, attention signals and a short path from insight to action.

02

Transport lifecycle

Quotes, loads, part-loads, freight and vehicles managed through one coherent operating model.

03

Communication

Email and case context connected to the process instead of split between an inbox and a system.

04

Control layer

Settlements, reporting, roles, permissions and administration that preserve control as operations scale.

04 — Design value

Less switching.
More control.

The essential outcome is one environment in which the team can see the case, its context and the next step. It supports standardised work, safe delegation to AI agents and management by exception instead of manual status chasing.

  • One process model and consistent statuses
  • Visible priorities and accountability
  • Control over roles, permissions and the audit trail
  • An architecture ready for further automation
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