Often autonomous logistics is associated with route planning, but in reality, it encompasses much more.
When broadly applied, autonomous logistics considers the entire supply chain as a logistics continuum, combining transportation planning with workflow effectiveness to maximize efficiencies across your whole network.
Here, we examine how to apply autonomous logistics in four key supply chain processes: first mile compliance, route planning, final mile optimization, and claims settlement.
1. First Mile Compliance
By integrating first mile compliance updates into an autonomous, unified platform, organizations can realize increasing returns through:
- Improved efficiency.
- Increased agility to unanticipated events.
- Cost savings.
- Higher quality, safer products.
- Improved scalability.
- Data-driven decision making.
2. Route Planning
With so much to consider in multimodal optimization, the importance of having the ability to plan, replan, and continually fine-tune moves becomes clear.
3. Autonomous Final Mile Optimization
Dynamic routing is the solution for this complex last mile environment. It allows instant, automated rerouting when conditions change in the delivery route. Dynamic routing can navigate add-on stops, cancellations, and delivery time requests, as well as real-time changes in traffic patterns, road closures, or weather conditions.
4. Autonomous Logistics in Claims Settlement
Autonomous logistics provides an opportunity to better navigate freight claims processes by getting claims documents in front of carriers and insurance providers as quickly as possible.
To learn more about how MercuryGate is changing the game in autonomous logistics, listen to our Logistics Landscape Founders webinar. You’ll hear the founders of MercuryGate’s technology solutions discuss how our unified TMS platform achieves efficiency gains in every stage of the shipment lifecycle.