Optimize Transportation Scheduling with LevelLoad

ProvisionAI, with partner Kimberly Clark, was a finalist at the CSCMP 2022 Edge Supply Chain Conference

Problems We Solve

Wild variability in shipment volumes

Partially full and unecessary loads

Over-reliance on the spot market

Detention and demurrage fees

Facilities hitting capacity issues

Re-planning taking too long

What We Do

LevelLoad takes in all of your network demand, order, forecast, and transportation data along with the full constraints of the network, runs a daily optimization, and outputs a globally optimized replenishment transportation schedule that can be tendered by lane across the whole network.

Our Technology

LevelLoad's patented optimization system uses a combination of linear programming and reinforcement learning to create more efficient schedules across a transportation network.

Pi Historian

Linear Programming

Linear programming solves the network to identify the most optimal way to smooth shipments given the network constraints.

Pi Historian

Reinforcement Learning

Reinforcement learning optimizes each shipment, ensuring that all containers are loaded as optimally as possible.

About

Our founding team are supply chain veterans and ML experts. We've combined deep domain expertise with ML research to create one of the most sophisticated optimization tools in the supply chain world.

Solutions

Lower Transportation Costs

Fewer shipments

Improved Order Fill

Better Space Utilization

Simple ERP integration

Contact

Address:

4650 Everal Lane
Franklin, TN 37064

Phone: +1 (615) 428 2035

Email: info@provisionai.com

© ProvisionAI 2023