In the article “Making the Infeasible Feasible with AI“, for MH&L, Tom Moore discusses addressing Logistic Challenges with AI and how AI is transforming the seemingly insurmountable challenges in transportation and logistics, offering unprecedented solutions.
May 1, 2023
Efficient deployment from production to distribution is crucial, yet the variability in customer demand and supply plans creates operational chaos. Figure 1 illustrates this real-world challenge.
ProvisionAi tackles the complexities in daily deployment, ensuring products reach customers seamlessly while optimizing costs and service levels.
Converting volatile supply plans into smooth operations poses a significant challenge. ProvisionAi endeavors to:
The deployment issue is intricate due to the following:
ProvisionAi introduces AI, specifically reinforcement learning, to create optimal loads swiftly, resulting in a leveled deployment plan.
ProvisionAi provides visibility into every load and allows tendering loads into the future, offering carriers a commitment.
Using a placeholder item initiates tendering, ensuring early reservation. The final load details are added before shipping, optimizing supply planning accuracy.
Determining the highest payload while prioritizing high-demand products on reserved trucks is a significant challenge addressed by operations research techniques and AI.
ProvisionAi’s integration of AI leads to:
Predictability and cost reduction for carriers result in improved service and lower costs. Guaranteeing daily lane volume becomes a reality in some cases.
Five years ago, reinforcement learning was in its infancy. Today, combined with other technologies, it offers significant savings and transformative value across the supply chain.
In the words of Tom Moore, CEO of ProvisionAi, “We deploy the needed product at the best cost from sites that can ship to sites that can receive it.”
ProvisionAi is leading the charge in making the infeasible feasible in the logistics world through AI.