Truckload prices are back near their 2022 peak, but the market behind them looks very different. In 2022, demand drove rates higher and prices eventually fell as freight volumes cooled. In 2026, diesel and tighter carrier capacity are doing much more of the damage, which means waiting for the market to correct may not be enough.

This episode looks at the freight market pressures showing up in shipper budgets and the parts of transportation cost companies can still control. One is truck utilization: underloaded trailers mean paying full linehaul and fuel surcharges for capacity that never gets used. The other is freight flow volatility: shipment spikes overwhelm preferred carriers, increase tender rejection, and push more freight into the spot market.

AutoO2 addresses the load itself by optimizing weight, cube, axle distribution, stacking, and damage constraints so more legal payload can move on each truck. LevelLoad works further upstream, using a 30-day planning horizon to smooth replenishment, improve carrier visibility, and reduce last-minute capacity pressure.

For supply chain leaders, the question is no longer just how to negotiate a better freight rate. It is how to use transportation planning, load optimization, and supply network planning to reduce the amount of expensive capacity the operation needs in the first place.

Explore ProvisionAI solutions:
https://provisionai.com/solutions/

Fuel prices and freight rates can move quickly, but the damage they create is often determined by problems already inside the network: volatile shipment patterns, late carrier commitments, disconnected planning systems, and truck capacity that is never fully used.

This episode looks at what happens when supply planning produces a mathematically correct inventory decision that transportation and warehouse operations cannot execute. A lane that normally moves ten loads may suddenly need twenty. Preferred carriers reject the overflow, transportation reaches deeper into the routing guide, receiving sites get overwhelmed, and OTIF can suffer even when the inventory technically arrived.

The conversation also looks at a less visible source of cost: unused trailer capacity. In one analysis of 158,000 heavily loaded trucks, 91% still had some unused legal payload capacity. That does not mean every truck could simply take more weight; cube, axle distribution, product mix, and equipment constraints all matter. It does show why load optimization has to go beyond whether a trailer looks full.

The alternative is more executable transportation planning. LevelLoad looks across the supply network to reduce unnecessary shipment volatility, account for carrier and site capacity, and create a more workable distribution plan. AutoO2 carries that logic through to the truck itself, using load planning to build legal, damage-free loads that make better use of available capacity.

For supply chain leaders evaluating planning technology, the question is not only whether the plan balances inventory across DCs. It is whether that plan can improve resilience, protect OTIF, reduce transportation cost, and survive contact with the physical network.

Explore our solutions:
https://provisionai.com/levelload/
https://provisionai.com/autoo2/

A supply plan can balance perfectly on a screen and still create a mess at the dock. This episode of The Warehouse Reality Check looks at the gap between supply chain planning and physical execution—where carrier capacity, warehouse labor, dock space, trailer limits, and receiving constraints determine whether the plan can actually work.

The conversation follows that failure downstream: shipment spikes force transportation teams into higher-cost capacity, receiving sites get overloaded, inventory sits in trailers instead of reaching customers, and warehouse teams absorb the problem through overtime, rework, and manual workarounds. Over time, those fixes become part of the operating model and create what we call planning debt.

We also break down The Dock Test, a practical way to evaluate whether a replenishment or distribution plan is executable before it is released. For supply chain leaders evaluating planning technology, the question is not only whether the system improves demand or supply planning accuracy. It is whether it can account for real network constraints, balance inventory across distribution centers, reduce transportation cost, improve OTIF, and make the plan more resilient when conditions change.

The goal is a planning process that connects demand, supply, inventory, transportation, and warehouse execution instead of optimizing each one in isolation.

Read more about Born at the Dock and closing the planning-to-execution gap:
https://provisionai.com/born-at-the-dock/