MAY, 2021LOGISTICSTRANSPORTATIONREVIEW19 modes using various vehicle types, including crowdsourced, ranging from motorbikes to electric vans ­ both of which provide agility in the constrained urban infrastructure. However, this also poses challenges in integrating all sub-processes for full control and visibility into the delivery process to meet and exceed customers' delivery expectations. Therefore, tracking and tracing becomes a critical part of last mile logistics. Shippers and carriers, especially after the ELD mandate, are now utilizing smart technology and sensors to track shipments at each step in the delivery process through better connectivity.How can data science support last mile logistics? Since connectivity and visibility are critical for the digitalization of the supply chain and logistics operations, data science plays an important role. Here are three ways: 1. Optimizing Solutions: As supply chains become more complex and difficult to model using traditional optimization methods (due to inherent uncertainty and unpredictability of last mile logistics), data science can help by modeling more accurate, cost-effective solutions using machine learning and a simulation-based stochastic approach. 2. Predicting Demand: Predictive modeling and AI/machine learning methods can help anticipate consumer demand and help move those SKUs to the local warehouses in advance. It can also help predict ETAs and service disruptions, which are essential in proactively notifying end customers and solving problems.3. Dynamic Route Planning: With this data being readily available from several sensors and automated systems, it can be utilized to dynamically adjust routes based on moving demand, real time status of existing orders and routes, and lead times. What are the value-added services that Coyote can provide in this space?Coyote recently announced the launch of its dynamic route optimization program that aims to streamline supply chain operations and reduce uncertainty for carriers by maximizing the efficiency of their fleets and delivering load consistency through optimized weekly routing plans. This concept is now being further enhanced to solve for last mile route planning by introducing route learning, a data-driven approach, and adding more flexibility to take on dynamic orders with constrained windows.To best position themselves to increase market share in the transportation industry, it's important that shippers understand, evaluate, and optimize their last mile logistics operations. Amit PrasadCoyote recently announced the launch of its dynamic route optimization program that aims to streamline supply chain operations and reduce uncertainty for carriers by maximizing the efficiency of their fleets and delivering load consistency through optimized weekly routing plans
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