Network Routing Optimization: Go from Raw Data to Actionable Insight

Every logistics executive has felt this pain: Your network design team delivers a "fully optimized" blueprint for your distribution facilities, only for your transportation team to take one look at it and say, "This is completely unexecutable on the road."

For decades, supply chain organizations have been forced to treat network footprint design and transportation routing as two completely disjointed, sequential decisions.

• Network Optimization (NO) software typically assumes simplified, point-to-point shipping costs. It lacks the granular math required to accurately model multi-stop routing (like milk runs), fleet limits, or driver regulations.
• Transportation Optimization (TO) software understands these route-level details perfectly, but it operates in a vacuum. It cannot factor in overarching enterprise constraints like plant production capacity, inventory holding costs, or multi-echelon network flows.

The result? A costly, highly inefficient loop where modeling teams are forced to manually iterate back and forth between NO and TO five or more times. This slow, manual process delays critical decisions and creates a dangerous gap of "inconsistent costs," where the strategic financial projections approved by leadership do not match actual operational execution on the road.

Unifying strategy and execution: Introducing Coupa NRO

To permanently bridge this gap, Coupa has introduced Network Routing Optimization (NRO).

NRO is a powerful, cloud-native problem type that unifies strategic Network Optimization and tactical Transportation Optimization into a single decision model. Instead of treating logistics and facility design as sequential steps, NRO dynamically evaluates precise multi-stop routing costs, fleet limitations, and driver constraints simultaneously alongside overarching network variables.

By natively embedding TO constraints within the strategic NO solver, NRO supports:

• True cost structures: Stop costs, distance-based costs, and duty-time costs
• Fleet limitations: Vehicle capacity limits, average speeds, maximum travel time, maximum distances, and maximum stop counts
• Regulatory & safety compliance: Hours of Service (HOS) regulations, including maximum drive time per shift, maximum duty time per shift, and mandatory minimum break times

This unified approach is powered by four unique, cloud-native capabilities that redefine the standard for supply chain modeling:

1. Multi-stop route sampling: Rather than relying on simple point-to-point assumptions, NRO evaluates realistic, multi-stop route candidates directly within the overarching network model.
2. Parallel route generation: Instead of running sequential, time-consuming simulations, NRO utilizes Coupa’s powerful Joule cloud infrastructure to generate route options in parallel, drastically accelerating solver speeds.
3. Automated output merging: Once the optimal routes are identified, the engine automatically adjusts and merges the chosen route data into your network optimization files. This provides a frictionless, ready-to-execute dataset for your downstream teams.
4. Frictionless commercial packaging: Coupa has eliminated any adoption barriers. NRO is available within SC Modeler at no additional cost. It is natively embedded under the standard Network Optimization umbrella, and each NRO run counts as exactly one solve against your existing limits.

Real-world ROI

By solving the strategy-to-execution disconnect, NRO delivers massive operational efficiency and immediate margin protection:

• Unmatched solve-time reductions: By completely eliminating the manual back-and-forth between planners and routing teams, NRO slashes time-to-value. In enterprise validations simulating five iterations, NRO drove an 84.5% reduction in solve times for a leading specialty chemical manufacturer, and a 34.06% reduction for a global food and beverage enterprise.
• Significant cost reductions: Because traditional network design locks in sourcing decisions too early, it misses global optimization opportunities. NRO optimizes holistically, delivering a 40.36% reduction in NO costs for DHL for a global logistics provider, and a 41.73% reduction in TO costs for a global food and beverage enterprise.

If your distribution network relies heavily on last-mile deliveries, retail store replenishment, or multi-stop inbound milk runs, continuing to design your supply chain on disjointed legacy systems actively erodes margins.With Coupa NRO, the network you design is the exact network you actually build and run.

Enhancing tactical freight agility: Relay hubs and tractor-trailer optimization

Long-haul freight rarely moves in a straight line. Drivers hit DOT hours-of-service limits, need to get back to their domicile, or sit idle while trailers wait for loading. To complement strategic NRO modeling, Coupa has also introduced two new tactical capabilities within Transportation Optimization.

1. Keep freight moving with relay hubs

Picture a shipment that has to travel farther than any single driver can legally go in one shift. Traditionally, that meant either breaking DOT rules, delaying the load, or manually coordinating a driver or trailer swap partway through the trip.

Coupa's new relay-hub functionality automates that coordination. You define a set of candidate relay hubs, and the solver figures out which hub should serve each customer. The system automatically routes the swap so the shipment keeps moving without breaking the load or violating driving-time and domicile rules.

The result: Longer routes become possible, compliance stays intact, and freight doesn't sit and wait for a workaround.

Relay-hub functionality is now available as part of Transportation Optimization.

2. Optimize tractors and trailers as what they are: Separate assets

Tractors and trailers are two different resources with two different utilization stories, but most optimization software has forced them into a single bundled unit. This makes it difficult for logistics teams and 3PLs to optimize trailer utilization independently.

Coupa now optimizes tractors and trailers as separate assets, each with its own route, while still respecting every shared constraint between them. This means you can see, and optimize, tractor utilization independently.

Early access results have been excellent. The solver can drop a trailer at a yard for staged loading or unloading and immediately send the tractor on its next shuttle move, without forced idle time. Or it can drop the trailer, send the tractor off to complete a customer delivery, and bring it back later to pick the original trailer back up. The tractor stays productive, and the trailer gets staged exactly when needed.

The result: Tractor idle time is eliminated, trailer staging becomes seamless, and asset utilization increases across your entire fleet.

Tractor-and-Trailer optimization is available now as part of Transportation Optimization.