Every route you don't optimise. Every vehicle that runs empty.
These are margin problems.
Logistics businesses run on thin margins and complex variables. The businesses winning in this environment have moved from managing operations to optimising them — using AI to make decisions no dispatcher, however experienced, can make at the required speed and complexity.
14%
Fuel cost reduction
89%
Vehicle utilisation achieved
+4.2pp
EBITDA margin improvement
<7mo
Payback period
Fleet operator, 180 vehicles. Route and load optimisation deployment.
Where the margin is.
Route optimisation
Real-time and next-day routing accounting for fuel cost, driver hours, delivery windows, traffic, and load efficiency simultaneously.
10–18% fuel cost reduction
Load optimisation
Maximising vehicle utilisation on every run. Empty return journeys are profit disappearing in real time.
Uplift from 72% to 89% utilisation
Demand forecasting
Predicting shipment volumes by lane, customer, and period — enabling better fleet deployment and capacity planning.
Fewer empty assets
Dynamic pricing
AI-driven pricing models that respond to lane demand, capacity, and competitive conditions in real time.
Margin per lane improved
Fleet management
Predictive maintenance on fleet assets. Reduce unplanned downtime before it costs you a contract.
35–45% downtime reduction
A fleet operator. 180 vehicles. A margin problem with a measurable answer.
The business was losing margin to inefficient routing and empty return journeys. Experienced dispatchers were making optimisation decisions manually — getting some right, missing others, unable to process the full variable set at once.
We deployed route and load optimisation AI trained on the operator's own delivery data: customer windows, drop patterns, traffic history, vehicle capacities, driver hours, fuel costs.
Fuel cost per delivery fell 14%. Vehicle utilisation rose from 72% to 89%. EBITDA margin improved by 4.2 percentage points. Payback in under 7 months.
Routing
Manual routing
AI-optimised, real-time
Fleet efficiency
72% utilisation
89% utilisation
Fuel
Baseline
–14% fuel cost/delivery
Profitability
Baseline EBITDA
+4.2pp margin
Payback
Month 1
Month 7
AI-improved logistics businesses are attracting premium valuations.
Logistics businesses with a regional or national network and demonstrated AI-improved margins are well-positioned for listings in the UAE — particularly where Middle East trade routes are relevant — or Euronext for European operations. We Are Colony has direct ECM relationships in both markets.
What we look for
Fleet or network of meaningful scale — $12m+ revenue
Operations with measurable inefficiencies AI can address
A management team ready to compete on operational performance, not just price
Route to listing within 24–36 months
Talk to us about your logistics business.
We'll tell you honestly whether we think we can help — and what that would look like.