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Maximize AI Configurations to Manage by Exception
Another critical strategy involves using artificial intelligence (AI) and robotic process automation (RPA) to power through freight management’s unexpected issues, enabling staff to manage by exception. Meanwhile, companies enjoy spending less time handling recurring exceptions and can focus more on physically moving freight. After all, tight capacity doesn’t necessarily mean capacity is missing. Instead, it means that somewhere, somehow, resources are not fully optimized.
Use Real-Time Tracking Resources to Manage Freight From Start to Finish
Within a SaaS-based platform, real-time tracking resources open the doors to savings across all freight management segments, including shippers, freight brokers, logistics service providers (LSPs), and carrier drivers. Additionally, real-time tracking and documentation management capabilities naturally lead to a digital auditing and settlement process. As a result, companies realize an efficient, capacity crunch-ready strategy.