AI-Assisted Email Appointment Scheduling for Freight TMS
Pain Points (Public)
Refrigerated freight brokerages lose substantial dispatcher time manually managing back-and-forth Outlook appointment emails with warehouses, repeatedly transcribing dock times and load references into specialized platforms like Tai TMS while risking scheduling conflicts.
Suggested Approach (Public)
Implement an automated workflow connecting Microsoft 365 and Tai TMS via Zapier and LLM email parsing, automatically extracting appointment proposals and populating dispatch schedules while preserving human approval steps for final routing control.
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Public Demand Evidence · 2 task(s)
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