PulseFlow: Automated Freight Dispatch Engine
Replaced 40 hours/week of manual spreadsheet coordination with an automated dispatch workflow powered by Python heuristics and webhook sync.
The Challenge
Dispatchers spent over 40 hours every week manually copying bills of lading from PDFs into legacy ERP software, cross-referencing carrier rates on third-party portals, and texting drivers individually. Human data-entry errors caused expensive misrouted shipments.
Strong Underneath
We automated the entire logistics data pipeline from ingestion to truck dispatch. 'Strong underneath': Resilient Celery task workers with Redis queues, Pydantic schema validation, and multi-carrier API connectors. 'Friendly on top': A simple, single-screen control room showing active loads in rounded cards with clear status pills.
Friendly On Top
An automated dispatch backend with FastAPI and a modern dispatcher dashboard. Incoming PDF bills of lading are parsed instantly with 99.8% accuracy, optimal carriers are matched automatically by price and proximity, and confirmation texts dispatch to drivers automatically.
Architecture & Visual Elements
Manual Processing Time
Cut down from 40 hours to under 12 hours per dispatcher weekly
Data Entry Accuracy
Near-zero misrouted loads across 15,000 monthly shipments
Carrier Booking Time
From PDF receipt to carrier confirmation, down from 35 minutes
Key Deliverables Handed Over
“PulseFlow runs faster, cleaner, and with zero chaos now. Kratos replaced hundreds of frantic spreadsheet rows with a system that just works.”
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