Freight Logistics Green Mile Case Study
Published:
Est. reading time: 2 minutes
Author: Ruth Kearney
It’s widespread practice for freight carriers to provide a vehicle that is just ‘available’ and not consider its proximity to the collection point, or if there is a load available to fill its return journey leading to a waste of energy resources. Freight Logistics Solutions (FLS) have developed a Green Mile Carbon Saver Calculator using a transport matching algorithm that selects the closest carrier vehicle to the freight collection point (rather than the closest haulier depot) saving customers on cost and reducing carbon emissions.
It’s widespread practice for freight carriers to provide a vehicle that is just ‘available’ and not consider its proximity to the collection point, or if there is a load available to fill its return journey leading to a waste of energy resources. Freight Logistics Solutions (FLS) have developed a Green Mile Carbon Saver Calculator using a transport matching algorithm that selects the closest carrier vehicle to the freight collection point (rather than the closest haulier depot) saving customers on cost and reducing carbon emissions.
“Working with Nightingale HQ we have developed a data-driven approach to source and control vehicles more efficiently. We want our customers to benefit from getting the right size vehicle from the best location possible, optimising the route. Also return journeys get considered, planned further and reduce empty mileage, costs, and carbon emissions” Paul Cleverley, Marketing & Communications Director, FLS
Approach
A technology and data driven approach reduces transport emissions. This tool is a practical approach to support FLS' sustainability goals, reduce costs and help change commercial behaviours by using data and analytics to help customers understand their environmental footprint.
Objectives
- Combine emission data with vehicle locations and route data to produce carbon savings calculations
- Plan return journey to further reduce empty mileage and reduce costs for the end customer.
- Develop a Carbon Dashboard for the end customer to keep track of carbon savings
- Use data to deliver practical results to reduce supply chain Scope 3 emissions.
Achievements
- Enables customers to see how much carbon the journey they are booking will produce and how much they will save on their planned journey.
- Develop a transport matching algorithm that selects the closest carrier vehicle to the fright collection point rather than the closest haulier depot.
- Carbon Dashboard provides management reports to keep on top of data and make better decisions.
Key Results
- Reduction in carbon footprint due to route optimisation
- Carbon Dashboard for data insights
- More engaged customers.