01
Scale of the task

Ukraine's reconstruction is primarily a logistics task — not a production one.

According to the World Bank's Rapid Damage and Needs Assessment (RDNA4, February 2025), Ukraine's reconstruction will require on the order of 180 million tons of construction materials over 2026–2027. This is a flow of bulk and inert materials — crushed stone, sand, cement, gravel, concrete — that must reach thousands of geographically distributed construction sites from quarries and production facilities.

180M t
construction materials, 2026–2027
World Bank RDNA4, 2025
~$524B
total reconstruction cost (10 years)
World Bank RDNA4, 2025
78%
unloading fronts concentrated in major hubs
DOI 10.18664/...215.2026.358843
18–36 h
average railcar dwell time
industry measurement, MONO 2026

For donor-financed programs, the question is not "will the material arrive", but what share of allocated capital reaches the construction site versus what gets dissipated across logistics transits, terminal dwell, transload events, and intermediary margins.

02
The bottleneck

The existing logistics base was built for industrial flows, not dispersed reconstruction.

Ukraine's bulk-receiving infrastructure historically formed around a small number of large industrial hubs: cement plants, metallurgical enterprises, grain elevators, concrete production complexes. Roughly 78% of mechanized unloading fronts are concentrated in these hubs. Stationary transload terminals — concrete pits with conveyors, elevated platforms, hopper systems — are multi-million-dollar facilities with 18–36 months to commission. After 2022, a substantial share is damaged, located in restricted-access zones, or simply does not cover the geography of reconstruction projects.

Reconstruction has the opposite freight topology: dispersed, temporary, geographically distributed. Schools, hospitals, utility networks, municipal facilities, residential housing, roads, bridges. Hundreds and thousands of points, each requiring delivery of bulk material, with an unloading face whose life on each point is weeks to months.

Building a capital transload terminal at each such project is economically meaningless: its CAPEX exceeds the value of all material passing through it over the project's lifetime. So under the existing scheme, material moves either through capital intermediary terminals with additional transload and markup, or by truck across tens to hundreds of kilometers from the nearest rail-accessible unloading point.

03
Intermediary margins and corruption exposure

The existing scheme redirects a significant share of donor capital into the margins of private terminal operators.

Ukrainian stationary transload terminals are predominantly privately owned. This is not a neutral infrastructure fact — it means every donor-funded ton-kilometer passing through a capital terminal generates margin for a third party unrelated to either the quarry production or the construction end point. That margin is embedded in the full logistics cost of the material and, ultimately, in the project budget paid by the donor.

Beyond margin, there is a more substantive fiscal problem: additional links in the supply chain expand the surface area for opaque transactions, non-competitive procurement procedures, and concealed mark-ups. Donor compliance frameworks — World Bank Anti-Corruption Guidelines, USAID Procurement Integrity, EU Financial Regulation — explicitly identify intermediary-rich supply chains as elevated-risk zones. The cost of that risk falls not only on donors but, more importantly, on the Ukrainian end result: on every square meter that doesn't get rebuilt, on every system that doesn't get restored.

Anywhere Logistics does not address this scheme rhetorically — it eliminates it structurally: by removing the stationary transload terminal as a link in the supply chain and replacing it with a mobile hub deployed at the construction point itself, under the direct control of the contractor or program office.
Structural consequence of the methodology

The result aligns directly with the priorities of donor compliance teams: fewer intermediary nodes → smaller surface area for intermediary margins and corruption exposure → larger share of donor capital reaching the construction site.

04
Worked example · from the peer-reviewed publication

A numerical illustration on a representative freight flow.

The UkrDUZT publication (DOI 10.18664/1994-7852.215.2026.358843) documents a comparative calculation on a representative bulk material flow. The calculation passed academic peer review and models monthly throughput for a regional concrete-construction project.

Reconstruction project · ~35,000 t of bulk material per month
Comparison of direct logistics cost over one month of deliveries: the scheme via a stationary transload terminal (with operator margin, transload event, and trucking onward to site) versus the scheme with an Anywhere Logistics mobile hub deployed at the nearest short-line point to the construction site.
Baseline scheme
35M
UAH / month
Private stationary terminal + transload + trucking to construction site. Includes terminal operator margin, railcar dwell cost, and extended trucking leg to the end point.
Anywhere Logistics
16.4M
UAH / month
Mobile hub at the construction site. No capital receiving infrastructure, no intermediary transload. Minimized trucking leg: rail → unload → site.
Monthly savings: approximately 18.6M UAH, or 53% of the baseline scheme. Annualized at constant freight volume, this represents around 220M UAH. Across multiple parallel reconstruction programs, the effect scales multiplicatively. Source: DOI 10.18664/1994-7852.215.2026.358843, Lomotko D., Chaika M., Kudriashov O., 2026
05
Stochastic optimization · for donor scenarios

The worked example is one point in a scenario space. The methodology provides the framework for all the others.

A real reconstruction portfolio is not one freight flow of fixed magnitude but a set of projects with varying geographies, volumes, time windows, and degrees of supply uncertainty. The decision "deploy a mobile hub vs. use an existing terminal" depends on dozens of parameters: distance, volume, schedule, availability of short-line segment, trucking leg from the nearest unloading point, condition of rail infrastructure in the region, political constraints in the delivery zone.

The methodology includes a documented stochastic optimization framework — a mathematical model computing the optimal placement of mobile hubs and the distribution of freight flows across the network for given input parameters and uncertainty distributions. This lets donor procurement teams and program offices make defensible decisions not on a single case but across a portfolio of programs.

What the framework computes

This is not a marketing estimate tool but a complete model ready for integration into the procurement decision processes of donor organizations and national programs.

06
Where the donor capital flows

The structural shift in donor allocation efficiency.

The central question for donor procurement teams: what share of allocated capital reaches the construction site. Below is a line-by-line comparison along the items visible to donor audit:

Cost line
Baseline scheme
Anywhere Logistics
Receiving infrastructure CAPEX
$1.5–5M+ per terminal, amortized across projects
~12,000 UAH (≈$290) per entry point in consumables, not amortized
Unloading equipment
Fixed conveyors, hoppers, elevated platforms — part of terminal CAPEX
Front-end loader or excavator — earthmoving equipment that is routinely deployed for this type of operation on a construction site
Terminal operator margin
Embedded in full logistics cost, paid to a third party
Absent — mobile hub under direct contractor control
Trucking leg to site
Tens to hundreds of km from a stationary terminal
Minimized — hub deploys in immediate proximity to the construction site
Flexibility under portfolio changes
Low — the terminal is tied to its geography
High — the hub moves with the freight flow

The sum of these structural shifts is the answer to the donor capital allocation efficiency question. Not a single saved figure but a systematic reduction in the surface area on which donor capital is lost en route to the construction site.

Inquiry from donor organizations

The methodology is documented for integration into donor-financed reconstruction programs.

The stochastic optimization framework and worked examples can be adapted to a donor organization's specific project portfolio, regional geography, procurement framework, and compliance audit requirements. The first conversation is not a commitment but an evaluation against the concrete parameters of your program.

For donor procurement teams & reconstruction programs

If you are World Bank, USAID, KfW, EU, or a national reconstruction office — let's talk.

Briefly describe: program type (housing, infrastructure, energy), geographic focus, expected bulk material volume, current logistics model. On that basis, a preliminary capital allocation comparison can be drawn up.