Qued GenAI scheduling engine cuts manual work by 95% and optimizes logistics with real-time, intelligent automation.
Qued has launched major GenAI enhancements to its intelligent scheduling platform, targeting inefficiencies in logistics operations. Traditional scheduling in freight and supply chain often involves manual entry, endless logins, and slow response times. Qued replaces that with a GenAI-driven system that learns from real-world logistics patterns and adapts schedules in real time.
At the core of this upgrade is a GenAI engine that processes millions of data points—from delivery statuses to traffic and workforce availability. It auto-generates optimized appointment schedules, reducing time spent on coordination by 95%. This allows teams to reclaim 22 hours per person per week, freeing up resources for higher-value work.
The platform doesn’t just automate—it personalizes. Qued’s AI crafts and sends scheduling emails based on customer interaction history, aligning shifts with employee preferences and availability. This results in fewer missed or low-quality appointments and boosts on-time delivery rates. The system is flexible, adapting instantly to demand spikes or last-minute route changes.
By embedding domain-specific knowledge into its GenAI models, Qued ensures logistics teams get accurate, actionable schedules without manual oversight. Clients like Schulz Logistics have seen an 80% drop in scheduling errors. With these AI-first tools, Qued isn’t replacing dispatch teams—it’s making them faster, smarter, and more effective at scale.