Current Situation
Negotiating multiple systems to access logistics capabilities and understand the implications to other areas of the business absorbs significant resources and leads to underoptimized resource deployment.
Goals and Objectives
Interacting with voice prompts allows logistics practitioners to navigate exception management with AI/ML capabilities. Systems provide prescriptive recommendations for shipment management and risk mitigation with available resources to activate alternative planning and downstream implications or trade-offs that impact other areas of the business.
Technology Deployed
Personal devices, cloud/platforms, big data/analytics, mobile, connectivity services, public load boards, and transportation management systems
Use Case Summary
It refers to speeding and simplifying shipment management and more deeply integrating transportation and logistics into the business. Augmenting logistics managers with the technology to more quickly and accurately make decisions in an operational environment eases the strain on labor resources and improves agility across logistics activities.