How Route Optimization Software Actually Cuts Delivery Costs 

Route optimization software cuts delivery costs primarily by reducing miles driven per stop, increasing the number of stops completed per driver shift, lowering fuel and vehicle wear costs, and reducing failed first-attempt deliveries through tighter, more realistic time windows. The size of the savings depends heavily on delivery density, fleet size, and the quality of the underlying scheduling and address data.  

Here’s how logistics traditionally have been: originally, a dispatcher would use a paper map, a list of addresses, and years of knowledge to plan routes. Until relatively recently, technology has been out of the question when it comes to route planning, with intuition and previous data fueling decision making. That didn’t account for unexpected back-to-school traffic, freeway accidents, or the expenses that added up without real-time tracking capabilities.  

Route optimization software promises to fix that. As more companies implement real-time tracking and visibility throughout the last mile delivery process, it can be unclear for retailers on where exactly money is being saved and efficiency is implemented. That gap matters, because not every cost reduction the software promises applies equally to every operation. A dense urban delivery network and a rural big and bulky route see very different results. 

In our latest resource, we’ve explored how and why route optimization software ultimately ends up cutting delivery costs.  

First, why this matters more for big and bulky delivery 

Before getting into where the savings come from, it helps to understand why route efficiency carries more weight in big and bulky delivery than it does for standard parcel shipping. 

A parcel driver might complete 100+ stops in a shift, each one taking a minute or two. A big and bulky delivery, which can consist of items like furniture, appliances, and cabinets, can take up to an hour once you count a two-man crew carrying it inside, assembly, and paperwork.  

That means each stop is expensive in a way a parcel stop isn’t, and a poorly sequenced route doesn’t just waste a few minutes of driving. It can cost an entire delivery slot for the day. In an industry where trucks are already running a fraction of the stops-per-shift that parcel carriers do, routing efficiency has an outsized effect on the bottom line. 

Where the cost savings actually come from 

The gains aren’t from a singular source. Instead, they come from several cost drivers moving at once. 

1. Fewer miles per stop. This is the most direct savings and the easiest to measure. When routes are built around real distance and live traffic data instead of a dispatcher’s mental map, the same number of deliveries typically gets completed with less driving. That ultimately means less fuel, less vehicle wear, and lower maintenance costs spread across the fleet. 

2. More stops per shift. A driver’s day has a fixed number of working hours, and every mile of backtracking or inefficient sequencing eats into that time without adding a single completed delivery. Tighter routing means more of each shift goes toward actually delivering rather than driving between deliveries, which increases how many stops a single truck and crew can complete before another vehicle or shift is needed. 

3. Fewer failed first attempts. Optimization software can build in realistic arrival estimates and communicate tighter delivery windows to customers, reducing the odds of showing up when nobody’s home. Since every failed first attempt requires a second redelivery — essentially re-running the cost of that delivery a second time — even a modest improvement in arrival accuracy has an outsized effect on total cost per completed delivery. 

4. Lower overtime and labor cost. Poorly planned routes tend to run long, pushing drivers into overtime or forcing dispatchers to add shifts to cover the same volume. Tighter, more realistic routes reduce how often routes run over their planned time, which lowers overtime cost without cutting delivery volume. 

5. Better fleet utilization. With accurate routing, dispatchers can see which trucks have real capacity left in a shift and assign additional stops accordingly, instead of defaulting to adding another truck every time volume increases. That delays or reduces the need for fleet expansion as delivery volume grows. 

How to tell if it’s working (the numbers that matter) 

The clearest signal is what happens to your own operational numbers before and after implementation: 

  • Miles driven per completed delivery — should trend down as routes tighten around real distance data. 
  • Stops completed per driver shift — should trend up as backtracking and dead time are reduced. 
  • First attempt delivery rate — should improve, assuming “success” is defined strictly (correct tier, on time, undamaged, accepted by the customer). 
  • Overtime hours, tracked separately from total delivery volume — should trend down even as volume holds steady or grows. 
  • Fleet size relative to delivery volume — growth in delivery volume should require proportionally fewer new trucks and crews than it did before optimization. 

Run the numbers before you judge the ROI 

The cleanest way to evaluate route optimization is this: cost per completed delivery, stops per shift, and overtime hours, measured over a comparable period before and after rollout. From there, it helps to weigh what a spreadsheet alone won’t show: how much delivery capacity has been freed up without adding trucks, and how much less operational firefighting the dispatch team is doing week to week.  

The bottom line 

Route optimization software cuts delivery costs by attacking several cost drivers at once, including miles driven, stops per shift, overtime, and failed first attempts, rather than through any single trick. But it amplifies good data and good processes just as readily as it exposes bad data and bad processes. The retailers who get the most out of it treat it as one part of a broader delivery operation, not a standalone fix for a network with deeper structural problems. 

Frequently Asked Questions

How much does route optimization software save on delivery costs?

Savings vary by delivery density, fleet size, and data quality, but they come from several cost drivers moving at once: fewer miles per stop, more stops per shift, less overtime, and fewer failed first-attempt deliveries. There’s no single fixed percentage — the cleanest way to measure it is cost per completed delivery, stops per shift, and overtime hours, tracked before and after rollout.

Does route optimization software reduce fuel costs?

Yes. When routes are built around real distance and live traffic data instead of manual planning, the same number of deliveries typically gets completed with less driving, which directly lowers fuel use and vehicle wear.

Why does route efficiency matter more for big and bulky delivery than parcel shipping?

A parcel driver might complete 100+ stops in a shift at a minute or two each. A big and bulky delivery — furniture, appliances, cabinets — can take up to an hour once a two-person crew, carry-in, and assembly are factored in. That makes each stop far more expensive, so a poorly sequenced route can cost an entire delivery slot for the day rather than a few wasted minutes.

Does route optimization software reduce failed deliveries?

It can. By building in realistic arrival estimates and communicating tighter delivery windows to customers, optimization software lowers the odds of a missed first attempt — and since every failed attempt requires a costly second redelivery, even a modest improvement in arrival accuracy has an outsized effect on total cost per completed delivery.

What metrics show whether route optimization software is actually working?

Five numbers to track before and after rollout: miles driven per completed delivery (should fall), stops completed per driver shift (should rise), first-attempt delivery rate (should improve), overtime hours (should fall), and fleet size relative to delivery volume (should grow more slowly than volume).

About CDS Logistics: Experts in Big and Bulky Last Mile Delivery      

CDS Logistics is one of the largest providers of last mile delivery and fulfillment solutions in the United States. CDS’s headquarters is in Baltimore, Maryland, with 182 hubs nationwide. Over the past three decades, CDS has built expertise to make the company an industry leader specializing in big and bulky products. CDS’s proprietary, in-house technology and hands-on operational expertise provide results that are consistent, reliable, and proven to drive outstanding customer experiences.     

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