Case Study Unilever | ProvisionAI

CPG Leader

Rising fuel costs, a global driver shortage, and trucks running below capacity. AutoO2 pushed utilization to 98% — and cut costs and emissions at the same time.

"Achieved industry-leading truck utilization while simultaneously cutting costs and carbon — proving efficiency and sustainability are not in conflict."

ProvisionAi Case Study · 2025

98%

Truck utilization achieved

Up from 90–95% baseline

4–8%

Transport cost reduction

Fewer trucks, fewer miles

4–8%

Carbon emissions cut

Directly supporting net-zero roadmap

2039

Net-zero target supported

Every truck eliminated counts

The Challenge

90–95% utilization sounds efficient. At scale, the gap is millions.

Trucks running at 90–95% capacity feel like a solved problem. But for a company shipping hundreds of loads daily across a global network, that 3–8% gap doesn't stay small. It compounds into extra trucks, extra miles, extra emissions, and extra cost — every single day.

At the same time, external pressures were intensifying. Fuel costs were rising. A global driver shortage made carrier capacity harder to secure. And a hard 2030 sustainability target meant the operations team couldn't treat emissions as a secondary concern — every truck that didn't need to run was a truck that shouldn't run.

The challenge wasn't finding new carriers or renegotiating rates. It was closing the utilization gap that already existed in every load leaving the dock.

Persistent utilization gap

Trucks running at 90–95% left a compounding cost gap across hundreds of daily shipments.

Rising fuel and carrier costs

External cost pressures made the inefficiency of underloaded trucks increasingly expensive to absorb.

Global driver shortage

Fewer available drivers meant every unnecessary shipment consumed scarce capacity that preferred carriers needed elsewhere.

Hard emissions targets

A 2030 net-zero commitment meant every avoidable truck was both a cost problem and a sustainability failure.

Shipment data from planning & ERP

AutoO2 ingests every item's dimensions, weight, stacking constraints, and customer requirements before building a single load plan.

300+ parameter optimization per load

AutoO2 simultaneously solves weight, cube, axle distribution, damage risk, and stacking rules — maximizing legal payload on every shipment without reloads or violations.

Visual guidance to warehouse floor

Step-by-step load instructions delivered to RF devices — removing expertise dependency and ensuring every loader builds the optimized load correctly.

Fewer trucks. Same delivery performance.

Higher payload per truck means fewer total shipments — directly reducing freight cost, fuel consumption, driver hours, and CO₂ output across the entire operation.

Planning ERP WMS RF Devices

What Changed

AutoO2 closed the utilization gap — on every load, every day.

The utilization gap wasn't a carrier problem or a rate problem. It was a load-building problem. Every truck leaving the dock at 92% capacity was leaving 8% of paid freight space unused — and that gap was invisible without a system specifically designed to close it.

AutoO2 optimized hundreds of daily shipments across the operation — solving weight, cube, axle limits, and stacking constraints simultaneously to push utilization to 98%. The result was fewer total trucks needed to move the same volume: fewer miles driven, less fuel burned, less CO₂ emitted.

Critically, the efficiency gains and the sustainability gains were the same gains. Every load that AutoO2 packed more tightly was one fewer truck on the road — hitting the P&L and the emissions target at the same time.

The insight
Efficiency and sustainability are not in conflict. Maximizing payload per truck is simultaneously the lowest-cost and lowest-emission way to move the same volume of product.

The Results

Industry-leading utilization. Lower costs. Lower emissions.

Truck utilization achieved

Up from a 90–95% baseline

4–8%

Transport cost reduction

Fewer trucks moving the same volume

4–8%

Carbon emissions cut

Fewer miles driven across the network

2039

Net-zero target supported

Every eliminated truck advances the roadmap

Achieved industry-leading truck utilization while simultaneously cutting costs and carbon — proving efficiency and sustainability are not in conflict.

ProvisionAi Case Study · 2025

See It In Your Operation

What's the utilization gap costing your network?

A 3–5% utilization gap sounds insignificant. At 10,000+ annual shipments it's millions in freight spend and thousands of unnecessary tons of CO₂. AutoO2 closes that gap — on every load, automatically. Most clients see ROI within 90 days.

See How AutoO2 Works → Book a Call

Eliminate Hidden Losses
in Your Supply Chain

For companies shipping 5,000+ truckloads/year. Our team will reach out within one business day.

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Eliminate Hidden Lossesin Your Supply Chain

Eliminate Hidden Losses
in Your Supply Chain