State of CEP 2026: cost-per-shipment is falling, but peak capacity decides who wins

Across the CEP operators running on Shipsy, cost-per-shipment is trending down year-over-year while OTIF is climbing. The unlock isn’t more trucks — it’s AI-native routing and AgentFleet absorbing the decisions that used to sit in ops chairs.

The finding

Shipsy platform aggregates covering parcel operators across MENA, Europe, South Asia, and ANZ suggest three simultaneous shifts in CY2025 versus CY2024: cost-per-shipment compression, measurable first-attempt delivery rate gains, and meaningful declines in exception-handling labor. The pattern holds across segments — global integrators, national express players, and regional specialists — though the magnitude diverges sharply. Aramex unlocked $27M in cross-border throughput on Shipsy; DPD Poland recovered $37M in unit economics through AI-native routing. The common denominator: operators moved routing, CX, and settlement decisions from dashboards to AI agents.

Why it’s happening

Three structural forces converged.

1. Parcel volume normalized, but mix got harder. Post-pandemic volumes plateaued, but the share of B2C, rural, and sub-2kg parcels kept climbing. That breaks the old route math — depots optimized for dense commercial drops now serve sprawling residential stops with narrower delivery windows. Traditional route optimization rebuilds routes overnight. AI-native routing rebuilds them mid-shift as new pickups land.

2. Labor got expensive faster than automation got cheaper. Courier wages in Western Europe kept climbing; dispatcher and CX headcount rose in lockstep. Operators that deployed AgentFleet — specifically Clara for proactive CX and Astra for routing — collapsed 2–3 ops roles into supervised agent workflows. CX handle time on automated queries now resolves in seconds, not minutes, inside the Shipsy platform.

3. Peak stopped being a calendar event. Black Friday, Singles’ Day, Ramadan, and regional promos now create rolling peaks. Capacity plans built quarterly miss them. Operators running Shipsy’s Atlas control tower reforecast capacity daily, shifting volume across carriers before SLA breaks compound.

The result is a new margin shape: fixed cost per parcel fell; variable cost per exception fell harder.

What it means for CEP operators

The CEP segment is bifurcating. Operators who treat AI as a productivity layer on top of legacy TMS are capturing modest cost-per-shipment improvement. Operators who rebuild the execution layer around AI agents are capturing materially more. The gap compounds quarterly.

Three implications for the next 12 months:

Below is the segment-level view.

CEP Segment Cost-per-shipment direction OTIF posture AI adoption Peak capacity strategy
Global integrators Compressing High High Cross-border orchestration + multi-carrier
National express (Europe) Compressing (sharpest) High High AI-native routing + gig blend
Regional specialists (MENA/SEA) Compressing Solid Medium-High Dynamic depot re-sequencing
Domestic parcel (emerging) Modest compression Improving Medium Crowdsourced last-mile
Cross-border consolidators Compressing Solid High Multi-carrier + customs automation

What to do about it

Pick the one decision that leaks the most margin — routing, CX, or settlement — and automate it end-to-end with a named agent before touching anything else. Stop rewriting SOPs; the AI layer should absorb exceptions your SOPs were written to handle. Measure first-attempt delivery rate weekly, not monthly. And renegotiate carrier contracts around dynamic allocation, not fixed zones — your cost curve has changed and your procurement should reflect it.

For a deeper look at how AI agents are changing parcel operations, see our CEP margin playbook. Explore how Shipsy supports CEP operators and what’s inside AgentFleet.