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Wove vs. OCR + RPA Tools: What’s the Best Choice for Logistics Document Automation?

Wove vs. OCR + RPA Tools: What’s the Best Choice for Logistics Document Automation?

Wove Team
Perspectives

Logistics professionals are buried under a mountain of unstructured documents. These documents include rate sheets and tariffs, bills of lading, customs forms, invoices, packing lists, and RFQs just to name a few. Historically, companies have turned to OCR (Optical Character Recognition) and RPA (Robotic Process Automation) platforms like UiPath to tame the chaos.

But those tools weren’t built for freight, and the "automation" many promised often ended up creating more headaches than they solved.

However, Wove is different. Wove is built entirely on Large Language Models (LLMs) and designed to specifically automate complex logistics workflows. Here's why that matters.


1.🧾 Document Complexity: Wove Doesn’t Break on Freight-Specific Formats


FeatureWoveOCR & RPA
Handles scanned, skewed PDFs and emails?✅ Yes, trained on noisy logistics inputs❌ Often fails unless heavily pre-processed
Works on complex tables, rate matrices, and tariffs?✅ Yes, near-100% accuracy on nested rate sheets⚠️ Requires manual tuning or fails silently
Handles shipping packet “bundles” like pre-alerts?✅ Yes, extracts multiple docs from zip or email threads❌ Needs custom scripting or third-party tools

Wove’s AI has been trained specifically on logistics documents — not just invoices, but multi-document pre-alert packets with inconsistent formats and ambiguous labels.


2. 🔁 Workflow Automation: Purpose-Built for Freight Forwarding


OCR and RPA tools like UiPath are general-purpose. That means:

  • You need dedicated developers to build and maintain scripts
  • The tools don’t “understand” CargoWise, master/house shipments, or customs declarations
  • Creating custom fields that map into your TMS might take months rather than seconds

  • Wove, on the other hand:

  • Comes with prebuilt integrations (CargoWise, email, shared folders) that can be customized to your organization's specific wants and needs instantly
  • Supports house/master shipment mapping
  • Recognizes logistics-specific field labels and units (e.g. CBM, freight terms, HS codes, port codes)
  • – Enables users to create custom fields and map them into a TMS in just seconds


    No configuration needed. Just drop your files and go.


    3. ⚙️ Maintenance & Scalability: Wove Learns While You Work

    FeatureWoveOCR & RPA
    Learns from corrections to improve future accuracy?✅ Built-in feedback loop + auto-training❌ Manual retraining and rule editing required
    Requires technical resources to maintain?❌ No — business users can operate✅ Yes — DevOps and RPA specialists needed
    Time to first value⚡ Hours🐢 Weeks to months (plus consultant fees)

    With Wove, freight forwarders, customs brokers, BCOs, and LSPs can train the system passively — no prompt engineering or ML ops required. Our system gets smarter every time you use it.


    4. 📈 Accuracy & Cost


    Most OCR/RPA pipelines are brittle and require human cleanup. That means:

  • Lower straight-through processing rates
  • Higher cost per document
  • Wove typically processes 95–100% of documents without manual intervention. And for the edge cases, feedback gets rolled into the model for better next time.


    Final Thoughts


    OCR and RPA tools were built for generic back-office automation. Freight forwarding, customs brokerage, and shipping operations need deep domain intelligence — not brittle templates and costly scripting.

    If you're spending time cleaning up OCR errors or writing Python just to extract an HS code…

    👉 It’s time to try Wove.

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