OneRail has launched a new AI-powered delivery platform that uses Nvidia technology to help retailers, wholesalers, and distributors decide how individual orders should be delivered. The system is called OmniSTAR.
The platform evaluates multiple delivery options — including owned fleets, couriers, parcel carriers, and other delivery modes — and then selects the lowest-cost option that still meets the required service level, according to OneRail.
How OmniSTAR uses Nvidia AI for delivery decisions
OmniSTAR combines Nvidia's cuOpt decision optimisation engine and cuDF data processing software with OneRail's own delivery pricing and performance data. Nvidia accelerated computing infrastructure handles the routing and delivery-mode calculations.
This setup allows the platform to process complex delivery decisions in real time, giving businesses a clear recommendation for each order based on cost and service requirements.
Faster computation times for last-mile delivery
OneRail said the system can reduce computation times by as much as 10 times. A calculation that previously took 20 minutes can now be completed much faster, which matters for businesses that need quick answers on how to ship orders.
For companies managing high volumes of deliveries, this speed can make a real difference in daily operations. Instead of waiting on slow calculations, they can get routing and delivery-mode recommendations almost instantly.
What this means for delivery operations
The platform is built for businesses that juggle multiple ways of getting goods to customers. By automating the decision-making process, OmniSTAR removes guesswork from delivery planning.
Retailers, wholesalers, and distributors can use the system to balance cost against service levels — ensuring they do not overspend on shipping while still meeting customer expectations.
Our Take: AI is becoming essential for delivery optimisation
To put it plainly, this launch shows how artificial intelligence is moving from a nice-to-have to a must-have in logistics. Delivery decisions used to rely on manual checks and slow calculations. Now, platforms like OmniSTAR can handle the same work in a fraction of the time.
The 10-times speed improvement is the headline number here. For a business processing thousands of orders, that kind of efficiency gain directly affects the bottom line. Lower computation times mean faster decisions, which can lead to lower shipping costs and better customer service.
That said, the real test will be how well the platform performs in live operations. The technology sounds promising, but adoption will depend on whether businesses see consistent results across different delivery scenarios. Still, the direction is clear — AI-driven delivery optimisation is no longer experimental. It is becoming standard practice.
