Unify routing & mode decisioning for maximum value
With logistics operators continuously balancing service commitments, capacity constraints and operational variability, they need a platform to adapt in real time. Most delivery networks are constrained by static rules, siloed planning and underutilized assets. OneRail changes that, with OmniPoint®, the AI-native platform that evaluates every order against service requirements, item characteristics, route capacity, business rules and transportation cost before assigning it to the best-fit mode.
OmniPoint® powers:
- More intelligent use of private fleet
- Fewer unnecessary high-cost moves
- Better delivery performance across the network
The answers are in the data
OneRail provides a free Route Efficiency Assessment, driven by our Data Science & AI team, which exposes both unused and inefficient use of internal fleet capacity. Based on the data findings, OneRail enables its customers to:
- Absorb more volume with their internal fleets
- Shift eligible deliveries to lower-cost mode & assets
- Improve route economics without simply adding trucks or extending route duration
How Dynamic Route Optimization Works
Traditional delivery planning often separates mode selection from route planning, which limits flexibility and drives unnecessary cost.
OneRail takes a different approach: For each order, the platform first evaluates all available transportation options — including private fleet, parcel, third-party couriers, LTL and the OneRail network — to determine the best-fit mode before a route is ever assigned.
Once the optimal mode is selected, OneRail’s routing engine determines the most efficient delivery plan by minimizing route count, selecting the smallest appropriate asset and balancing route efficiency with SLA attainment. These decisions are informed by the variables that matter in real operations:
- Vehicle availability
- Mileage
- Time
- Dims & weights
- Telematics inputs (ex. traffic and weather)
- Customer-specific business rules
The result is a smarter, more connected delivery operation that:
- Lowers transportation cost
- Improves on-time performance
- Increases utilization across every available asset
- Evaluates every order before a delivery decision is made
- Selects the best-fit mode across fleet, parcel, courier & carrier options
- Improves cost, service & fleet utilization in one orchestration layer
Significant Financial
and Performance Benefits
On average, OneRail’s AI-Optimized Routing
Solution Unlocks More Value:
per delivery stop
fewer delivery vehicles
required daily
Cost Accountability
See the cost of every route edit before it impacts the P&L
The biggest threat to delivery savings and performance is not always the original plan — it’s what happens after the plan is changed.
OneRail gives shippers visibility into manual route edits and the ability to understand, in real time, how those changes affect cost and performance. When a stop is added or a route is adjusted, OneRail recalculates the impact immediately. That creates a new level of accountability across transportation teams, helping shippers reduce unnecessary spend, improve operational discipline and maintain the value of every optimized route.
How Does it Work?
Tracks manual route edits & operational overrides
Recalculates cost when stops or orders are added to a route
Shows the impact of changes on route efficiency & performance
Creates accountability for decisions made in the field or in dispatch
Protects the savings generated by optimization
Optimize Profit per Stop, Not Just Cost per Stop
For years, fleet operations have been measured by cost per stop. But for distributors, the smarter metric is often profit per stop.
OneRail helps distributors make routing decisions based not only on distance and cost, but also on customer profitability, time-of-day conditions, stop complexity and delivery efficiency. That matters because the most logical stop from a routing perspective is not always the most profitable stop from a business perspective.
The Concept of an ‘Average Stop’ Doesn’t Exist
Take two restaurant deliveries: One is a lower-margin location serving lunch, where midday delivery creates parking constraints, crowded receiving conditions, slower unload times and disruption for kitchen staff; the other is a higher-margin location that is closed to diners at noon, making it easier, faster and less disruptive to deliver during that same window.
Traditional route planning may optimize around route geometry alone. OneRail optimizes around business outcomes. By delivering higher-margin customers when access is easiest and scheduling lower-margin stops when they can be serviced more efficiently, OneRail helps distributors improve stop productivity, reduce operational friction and maximize profit across every route.
The Threefold Outcome
By aligning route decisions to both margin and operational efficiency, OneRail helps distributors improve stop productivity, reduce delivery friction and capture more profit across the network.
See What Our Data Science Team Can Uncover
Engage OneRail’s Data Science & AI team for a Fleet Optimization Analysis that shows more than estimated cost savings. Using your delivery data, we identify opportunities to improve route efficiency, asset utilization and performance across the network — while also surfacing the operational changes that can unlock even greater value.
Our analysis can reveal opportunities related to distribution network design, service-level strategy, inventory placement, DC shipping hours and overall fulfillment processes. The result is a data-backed view of not just where cost can come out of the network, but how service and operational performance can improve with the right changes.
Let OneRail show you the estimated savings, performance upside and network recommendations hidden in your data.
