◈ Transportation and logistics

Every shipment tracked.
Every route optimised.
For less than the leading cloud.

Carriers, forwarders and logistics operators run on a constant stream of events — scans, positions, bookings — with sharp peaks at quarter end and in the run-up to the holidays. Compute gives you the same machines as the leading cloud for less, billed by the second, so the peak does not set the year’s bill.

Used by courier start-ups, regional hauliers, freight forwarders and Fortune 500 logistics groups for routing, tracking and warehouse operations.

30%
Under the leading cloud on CPU instances
Per-second
Billing through every peak
Zero
Reservations or minimums
One
Bill across every depot

What this looks like in practice

◆Route planning and load optimisation◆Shipment tracking and proof of delivery◆Fleet telematics and driver apps◆Warehouse management and slotting◆Customs and documentation workflows◆Customer tracking pages and notifications◆Demand forecasting and capacity planning◆Route planning and load optimisation◆Shipment tracking and proof of delivery◆Fleet telematics and driver apps◆Warehouse management and slotting◆Customs and documentation workflows◆Customer tracking pages and notifications◆Demand forecasting and capacity planning
What holds true here

Four things you stop arguing about

◆

Peaks without the year-round bill

Capacity rises for the holiday surge and falls back after it. Nothing is reserved against a forecast.

◇

Optimisation, priced to the run

Route and load optimisation on CPU instances 30% under the leading cloud, billed by the second for the time it takes.

◈

Events that land somewhere

Scans and positions flow through queues into the databases and pages that use them, on one platform.

○

Tracking close to customers

Tracking pages deployed at the edge with Nexus, so a customer checking a delivery is answered nearby.

The shift

From sizing for the peak to paying for the load

Logistics businesses work hard to avoid running empty trucks. Many still run empty servers, sized for the busiest week and paid for in every other.

The usual arrangement
  • ✕Infrastructure sized for peak season, all year
  • ✕Optimisation runs rounded up to the hour
  • ✕Tracking, telematics and warehouse on separate bills
  • ✕Customer pages slow when volumes spike
  • ✕Cloud spend unconnected to lanes or contracts
What replaces it
  • ✓Capacity that follows volumes up and down
  • ✓Optimisation billed by the second
  • ✓One platform and one bill for the operation
  • ✓Tracking pages that hold when everyone checks
  • ✓Spend itemised by service and project
What you can count on

Stated plainly, and qualified

30%
Under the leading cloud on CPU instances
Same specification, cheapest the leading cloud match
30%
Under the leading cloud’s managed databases
Per managed database-hour
Per-second
Billing
On every Compute Instance
None
Minimum term
No reservation, no commitment
Closer in

Transportation & Logistics, specifically

Peak season, without the year-round bill

The weeks before the holidays carry several times the normal volume. Sizing for that and paying for it all year is the usual answer, and an expensive one. On Compute the capacity arrives with the parcels and leaves with them, priced under the leading cloud for the same machines. A courier start-up and a global forwarder pay the same rate.

Tracking at the edge

Customer tracking pages deployed with Nexus and Panel, close to the people checking.

Events on queues

Scans, positions and status changes collected through Cloud Services queues.

Warehouse data on CosmoBase

Stock, slotting and orders in managed databases priced under the leading cloud’s managed databases.

Driver apps from git

Apps and tools built on CodeGraph with review and CI, deployed on Panel.

Against the leading cloud

Transportation & Logistics on Compute, against the leading cloud

4 vCPU / 8 GB server
$0.0941/hr
Leading cloud $0.1344/hr · Its cheapest machine with 4 vCPU and 16 GiB
30% less
Database
$0.0112 / database-hour
Leading cloud $0.016 / database-hour · Managed database, smallest instance
30% less
Build minutes
$0.007 / build minute
Leading cloud $0.01 / build minute · Managed hosting build minutes
30% less
Business support
$70.00 / month
Leading cloud $100 / month · Business support plan, monthly minimum
30% less

Compared with the leading cloud's own published on-demand prices, US East. Every comparison.

Questions we are actually asked

Answers without the hedging

Can it carry our peak season?+

Yes. Capacity is added as volumes rise and billed by the second, so the peak is paid for during the peak rather than all year.

How do prices compare with the leading cloud?+

For CPU and GPU instances, managed database hours, build minutes, AI inference and support plans, 30% under the leading cloud’s published price, shown beside ours. Bandwidth is priced separately.

Can we migrate a live tracking system?+

In stages, with the existing system running. Nothing is cut over until the new one has carried real traffic and you have chosen to switch.

Is there a contract?+

No commitments or minimum terms. Support plans are monthly.

Other industries

Where else this goes

AI Agents

Run agents, the tools they call and the models behind them on one platform, billed by the token and the second, for less than the same work costs on the leading cloud.

Customer Acquisition

Host the landing pages, attribution pipelines and onboarding flows that bring customers in, and spend less on the infrastructure than you would on the leading cloud.

Marketing

Run campaign sites, personalisation, content pipelines and marketing data on one platform that costs less than the leading cloud for the same machines and models.

Lead Generation

Run the forms, enrichment jobs, scoring models and routing that turn interest into leads, for less than the same infrastructure costs on the leading cloud.

Sales

Run CRMs, sales data, call analysis and AI assistants on one platform, priced under the leading cloud for the same machines, databases and models.

Creator Economy

Host creator platforms, media processing, storefronts and AI tools on infrastructure that bills by the second and costs less than the leading cloud for the same machines.

Start where it matters most

Begin with one workload. Keep what you have running. Decide whether to continue once you have seen it carry something real.

No migration required to begin. Nothing to tear down if you stop.