ProvisionAi takes 88,000 trucks off road in 2023; goal is 188K in 2024

ProvisionAi, the only provider of a patented optimized replenishment transportation scheduling solution, announces that the company removed 88,000 trucks from the road in 2023. The goal for 2024 is to remove 188,000 trucks, further reducing carbon emissions and helping companies meet their sustainability goals.

"Using AutoO2, companies can fill trucks fuller so that fewer trucks are used for replenishment," says Tom Moore, CEO of ProvisionAi. "With 91% of all trucks underloaded, the time is now to max out trailers, keeping in mind that the loads need to be axle-legal and arrive without any product damage. Our clients increase payload by 5-10%."

There is a global interest in reducing carbon emissions across all manufacturing and distribution processes. In distribution, Scope 3 emissions are generally the largest and often the hardest to control. Two subcategories of Scope 3 emissions relevant to supply chain management are Category 4 (upstream transportation and distribution) and Category 9 (downstream transportation and distribution). These categories account for most emissions from the movement of goods and materials between suppliers, manufacturers, retailers, and consumers.

To meet ProvisionAi’s goal of removing 188,000 trucks from the road to reduce carbon emissions, the company suggests that clients:

• Switch to more efficient modes of transportation, such as rail or barge, which have lower emissions per ton-mile than trucking.

• Insist carriers use less carbon-intensive fuels like biodiesel.

• Implement carbon abatement measures to reduce fuel consumption and emissions per mile, such as improving vehicle maintenance, driving behavior, and aerodynamics.

• Build bigger shipments by consolidating loads and optimizing the use of space in vehicles to reduce the number of trips and the total distance traveled. Load optimization is a winner because it works in many environments.

AutoO2 from ProvisionAi, uses mathematics and artificial intelligence to optimize load planning, generate savings in carbon, and reduce transportation costs by 5-10%. This powerful technology gathers data from existing systems, for example, the supply planning system, to generate the optimized shipment configuration and the associated 3-D load diagram. AutoO2 also works with customer orders creating the correct grouping to meet the customer need date and maximize the payload or breaking large orders into optimized trucks.

For one customer that used AutoO2 for a period of over twenty-one months, the number of truckloads was reduced by 149 trucks, for a carbon emissions savings of 1556 planned metric tonnes. This led to the elimination of an estimated 3927 tonnes of CO2 emissions.