They’re not supply chain engineers, they’re supply chain scientists. Calculated risk-taking and hands-on program design are enabling NFI’s Transportation Management team to customize solutions of the future for NFI customers. In this video, team members Felipe Molino and Kayla Broyles highlight how NFI is able to deliver custom, data-driven results through NFI’s deep industry expertise and an autonomous work environment.
Felipe Molino (FM): I’m Felipe Molino, Director of Engineering, and I’ve been with NFI for five years.
Kayla Broyles (KB): I’m Kayla Broyles, I’m a Transportation Management Optimization Analyst, and I’ve been in this role with NFI for a little over a year. I design transportation networks for our customers and help them identify areas that they can improve on efficiencies and develop the optimal transportation network, while finding that balance between service and cost.
FM: We’re responsible for finding value for our customers, whether that takes the form of conducting an RFP, working on a continuous improvement exercise, leading a consulting engagement, or implementing a digital twin. We create custom engineered solutions to make sure we find opportunities for our customers, whether that is from a service, cost, or risk standpoint.
KB: Starting out in this role, I spent a lot of time working in our Transportation Management System (TMS) and developing my operational skills, so that I could figure out how our customers are operating on a day-to-day basis when it comes to transportation. I am then able to use that knowledge when designing the networks for our customers, to make sure that they’re not only realistic, but achievable. We leverage very sophisticated technologies and data management and optimization tools, and the amount of effort, time, money, and training we put into these technologies, allows us to develop optimal solutions for our customers, as well as deliver them extensive value.
FM: At NFI, we’re one of the first and few companies in the industry that have successfully been able to create digital twins and implement them with their customers. The goal of this technology is to look back and audit what we’ve been doing in the past to understand some of the missed opportunities that we could have found if we changed specific constraints. Over time, as we have enough data, what we’ll be able to do is look into the future and understand what would happen if another pandemic were to hit, or a facility were to shut down, and we can create contingency plans for each of those situations. The moment that one of those scenarios hit, we immediately have a plan of action and implement the solution.
KB: All of our teams work closely aligned together. We all have the same goal in mind and that’s to improve our customer’s networks and help them sustain that optimal solution.
FM: In our team we don’t have supply chain engineers, we have supply chain scientists, because we believe that the things that we do transcend traditional supply chain engineering.
KB: Backed by the support of our leadership and through continuous training and development, our managers create an autonomous working environment for us. This allows myself and coworkers to take lead on projects while also being encouraged to take risks while developing these innovative supply chain solutions for our customers.
FM: At the end of the day, we are an extension of our customers’ supply chain, so we have a stake in the success of their business. Every decision that we make on behalf of our customer needs to reflect as much.