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Route Optimization for Logistics Companies

A Glance at Clean Freight Strategies

CASE STUDY

One operator that delivers frozen food
implemented route optimization software.
Within months, the operator achieved
a $400,000 reduction in monthly
transportation costs, 12% improvement
in on-time delivery, 90% fewer brokered
loads, and a 10% smaller fleet.

$400,000]

drop in costs
per month

90%

drop in
brokered
loads

Carriers and third-party logistics providers (3PLS) can use route optimization to
minimize truck miles of travel. Optimization software can take many factors into
account, including the orders that need to be shipped, delivery time windows,
vehicle characteristics, route restrictions, and hours of service limitations to create
the most efficient delivery routes.

WHAT IS THE CHALLENGE?

When 3PLS plan shipping routes, they must weigh many factors, including vehicle
capacity, driver availability, customer preferences, delivery windows, road speeds,
and weather. Route planning is a complicated process that is prone to human
error. Even with a small number of drivers and stops, the number of possible
delivery schedules can be huge, making it challenging to optimize. Planning gets
even more complicated with bigger fleets, more customer preferences, and tighter
delivery windows. Not only is the manual planning process prone to human error,
but it is also more time-consuming and harder to adapt as last-minute changes
in weather, traffic, and customer orders arise. For 3PLS and their clients, route
optimization technology can generate significant productivity and efficiency gains.

WHAT IS THE SOLUTION?

Route optimization software:







Considers a variety of factors. Software tools can input factors such as
location of orders and distribution centers, vehicle characteristics, and
product requirements, in order to calculate the best route.

Provides real-time data. Many platforms track fleets in real time and use
information about traffic conditions and driver availability to dynamically
adjust routes. They may also provide alerts if there is a route deviation.

Tracks data over time. These technologies can provide analytics to inform
decisions about bids and fleet purchases. One company's software uses
machine learning to continue refining routes overtime. Another software
tool allows companies to conduct a "cost to serve" analysis to determine
how profitable a bid might be. These systems estimate costs with high
accuracy by assessing required miles, trucks, and drivers. Companies can
also use this software to run scenarios with different vehicle capacities,
delivery days or customer locations.

Improves the customer experience. One software allows customers to
track orders and choose a delivery date and time that works for them.

EPA-420-F-21-042 | December 20211 SmartWay Transport Partnership | epa.gov/smartway

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Route Optimization (continued)

COSTS

The costs of this strategy include the price of software
licenses and the necessary hardware, such as radio-
frequency identification (RFID) transponders orsmartphones.
Implementation also involves onboarding drivers, planners,
and sometimes customers (if the technology includes a
customer interface).

10-30%

One software company reports that
its customers tend to experience an ROI
of 10-30% using route optimization.

SAVINGS AND BENEFITS

Companies of all sizes tend to experience a quick return on
investment (ROI) and substantial long-term benefits from
route optimization software. One software company reports
that its customers see an ROI of 10 to 30%. Its customer, an
event-planning company, saw a payback in three months.

Increased transparency. These systems enhance
transparency, creating more accurate cost projections
and providing real-time tracking. Shippers can better
predict delays with these tools and proactively com-
municate with customers.

Improves customer service. A major brewing
company reduced its rates of missed time windows
by 85% after implementing route optimization soft-
ware. The software also allows shippers to be more
flexible and adaptive, making it easier to respond to
last-minute requests.

Improves pLanning. This strategy saves time for plan-
ning staff and limits opportunities for human error. The
systems collect data over time and provide historical
records to track performance and refine routes.
Strategic modeling scenarios also help companies
consider a range of opportunities.

Environmental. Route optimization can reduce travel
by about 2,500 miles a year for the average driver-
equivalent to 3 metric tons of carbon dioxide.

NEXT STEPS

1

2

3

Assess current systems, Looking at the time, Labor, and capital costs of the current process and
identifying areas for improvement.

Consider the range of available solutions. Factors to consider include scale and complexity of the
supply chain, IT infrastructure, and projected ROI. After selecting a software option, companies can
run trials to understand how the technology works in a variety of scenarios.

Pilot the program. For successful implementation, it is important that the planning, transport, and
customer service teams do not work in silos. Active communication with the customers can help
further optimize the process. For instance, customers may be flexible regarding time or frequency of
delivery; this information can help planners further refine orders.



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