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Neural2B
Industry solution: Transport and Warehouse Logistics

AI and Process Automation in Logistics

Requests from emails are recognized automatically, loading and unloading addresses are verified, and the dispatcher receives a ready draft of the route.

Key automation tasks in the industry

  • ✓Recognizing transport requests from chaotic emails and PDFs
  • ✓Organizing cities, postal codes, warehouse names, and contacts
  • ✓Verifying dimensions, weight of cargo, and temperature conditions with the available fleet
  • ✓Preparing a draft route in the logistics accounting system
  • ✓Automatically notifying recipients of the estimated time of arrival (ETA)
Detailed process breakdown

Incoming Email with Freight Transportation Request

1.The client sends an email in any form or a table with a request for transportation between cities.
2.The parsing module extracts: point A, point B, desired loading date, weight, volume, trailer type, and special conditions.
3.The system checks addresses via a geocoder and verifies parameters against your pricing grid.
4.An order card appears with the status 'Requires dispatcher confirmation'.
5.The dispatcher reviews the recognized fields and assigns a driver or sends an offer to partners with one click.
Expected outcome: The workload on dispatchers during the processing of typical email requests decreases by 60%.

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Types of data processed

  • ·Transport invoices (TTN, CMR), bills, reconciliation acts
  • ·Registers of vehicles, trailers, drivers, and their statuses
  • ·Directories of geographical locations and customs terminals

Industry constraints and controls

  • ✕Ultimately, the dispatcher assigns transport and agrees on the rate
  • ✕Certified GPS trackers and tachographs are not replaced by the system
  • ✕If the unloading address is ambiguous or there is an error in the village name, the system warns — and a person clarifies manually
Demo scenario for the industry

Automation of Logistics Request Processing

A logistics company receives hundreds of emails daily in various formats: 'calculate the route', 'pick up the cargo'. Dispatchers manually copy cities, warehouse addresses, dimensions, and sender's phone numbers. Responses are delayed. Clients turn to competitors.

View the full solution architecture →

Questions about implementation in the industry

What if there is a mistake in the name of the city or village?▾

The AI looks at the context of the region and district and verifies names against official address and postal registers. Typical typos are corrected automatically.

Can paper TTNs be recognized from scans?▾

Yes, if the numbers and stamps can be read from the scan. A completely blurry photo, of course, won't help.

Which TMS/ERP can be integrated with?▾

With any system that has a REST API, SQL database, or file exchange in JSON/XML.

Want to automate your process?

Describe the task. We'll select the right connectors and estimate how long a limited pilot will take.

Discuss an industry task

Discuss the task: AI for Logistics and Freight Transportation

Describe the process that’s eating up your team’s time. We’ll suggest what can be automated, what data is needed, and where to start.

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AI for Logistics and Freight Transportation | Neural2B