Last-mile delivery? No doubt it's a real head-scratcher. From the Americas to Asia, shippers and carriers alike are grappling with it. The nerve-wracking questions won't let up: "Will my deliveries make it to my customers punctually?" "Which route shaves off the most time and distance for my fleet?" "How can I best manage my fleet?" "How can I keep tabs on all my deliveries?"
Boost your business's efficiency and profitability with logistics optimisation. Discover the key to streamlining your supply chain and maximizing operational success. Logistics optimisation is the strategic process of improving every aspect of your logistics operations, from inventory management to transportation and distribution. By analyzing data, identifying bottlenecks, and implementing innovative solutions, you can minimize costs, reduce lead times, and enhance customer satisfaction.
Looking to enhance your business's supply chain efficiency? Explore the power of logistics optimization and unlock untapped potential. Logistics optimization is a strategic approach that aims to streamline the movement of goods, materials, and information throughout the supply chain. By employing advanced technologies, data analytics, and process improvement methodologies, businesses can minimize costs, reduce delivery times, and maximize customer satisfaction.
TCO (Total Cost of Ownership) optimization is a process that involves identifying and minimizing the total costs associated with owning and operating an asset, system, or process. This includes all direct and indirect costs incurred over the asset's entire lifecycle, such as acquisition costs, maintenance and repair costs, energy and utility costs, and disposal costs. TCO optimization aims to reduce overall costs while maximizing the asset's efficiency and effectiveness.
In today's world,time management is everything. Every business with complex supply chain and logistics operations are leveraging technology to electrify their delivery and achieve that golden milestone of Net Zero. If you are aiming to hit goals along these lines, it is critical for you to understand the benefits of scalable route planning and optimization.
In addition to vehicle and infrastructure Capex and Opex, it's critical to look at the reduced range of the vehicles and their impact on routing and labor costs dynamically throughout various time periods. This can be done by combining dynamic route optimization and network planning with TCO inputs and performing higher level optimizations to reach suggestions for where and when ZEVs can be substituted into the network.
This makes sense. But many TCO calculators and consultants don't account for the labor component accurately, as it is signifcantly related to delivery network design and vehicle routing. In many instances we see that they use averages or historical telematics data that are deeply flawed as inputs to what the real customer-driven fleet requirements are throughout the course of a year. For example, if you have to cover 10,000mi of deliveres from a DC and that would require 10 x 1,000mi rig routes, swapping in 5 BEVs with only a 500 mi range means you need more break and charging time, and potentially
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