Our Product
What Qued Customers Can Expect
No more juggling spreadsheets, a high volume of email, and a variety of portal logins. With Qued, carriers enjoy a smoother workflow, shippers gain increased visibility, and brokers build trust with on-time deliveries.
Qued strengthens relationships by improving communications and transparency. No more missed appointments and frustrated customers – Qued’s intelligent platform for load appointment scheduling delivers the efficiency and reliability you need, helping your business thrive.
Let Qued’s real-time AI platform streamline your workflow and help build your business.
Smart Appointments
Through AI and machine learning, we help carriers and 3PLs select smarter appointments, reducing wasted time in the supply chain and improving service levels.
CONNECTIVITY DIRECTLY THROUGH YOUR TMS
No more chasing portal passwords!
Qued offers an online portal for visibility into each automated appointment, but we hope you never need to log into it!
By bringing the appointment scheduling process directly into your workflow businesses save time and avoid costly data discrepancies that result from re-keying load information.
Our Partners Include:
Schedule Wherever Your Team Works
Recent News
Driving Efficiency & Scalability – How FreightVana Transformed Scheduling with Qued and e2open
FreightVana, a tech-forward brokerage firm based in Arizona, faced a pivotal challenge as it scaled operations. To meet increasing demand and maintain efficiency, FreightVana needed
Qued Recognizes Schulz Logistics for Exceptional Appointment Scheduling Performance – Business Insider
Qued, a leading innovator in supply chain and AI logistics, announces its successful partnership with Schulz Logistics, showcasing their dedication to streamlining appointment scheduling and enhancing operational efficiency.
How Machine Learning Is Solving Freight’s Most Costly Problem–A Loaded & Rolling Recap
Automation is just the first layer of AI to impact scheduling. Early adopters who embrace advanced technology will find that machine learning is going a step further to optimize scheduling operations and impact team productivity.