With large amount of shipping orders, logistics companies need to be able to process these in a timely manner and avoid delays. It is often expected that logistics companies would need to collect information from multiple sources for documentation, and the traditional way of manually processing logistics documentation will not suffice.

Therefore, incorporating automation is how companies remain effective and competitive within the market. By automating logistics documentation, companies are able to process more shippings with minimum errors that may cause delays in shippings. Not only that this aids with talent shortages, logistics automation also creates a significantly more sustainable ecosystem.

Cognitive Automation in Logistics Industry:

The main objective to include cognitive automation in logistics is to achieve faster shipping process with high efficiency, while saving a significant amount of workload and time for company staffs.

This will make documentation and accessing information easier, as cognitive bots are able to automate email processing and provide automated tracking data for the shippings. In cases where customs declaration is needed, cognitive automation can assist companies to compile data and submit to the according government portals. By combining the time saved from these tedious and mundane tasks, this allows staffs to focus on other high value work and increase profit potential.

Read more: Automating Import & Export Declaration in Logistics

What are some of the documents needed for logistics company?

Sorting out information from various documents can be complicated, but Gleematic is able to process these document and collect important data/information, please refer to the picture below to see some examples for documents needed in logistiscs:

Ways that Gleematic Cognitive Automation can help in Logistics Documentation

  1. High data entry accuracy and reduced cost:
    By automating data entry, Gleematic can be trained with identifying multiple documents in order to extract data. Not only this will improve data accuracy, this will also minimise human error and reduce cost of manual data entry.
  2. Improve utilisation of staff time:
    By saving time for staffs from tedious and overwhelming tasks, companies can assign staff to prioritise higher valued work.
  3. Improve turnaround time with intelligent document processing(IDP):
    Using data extraction to perform automated data entry and collect information from various sources/portals.

Read More: How Does a Machine Read Documents in Asian language?

Written By: Reiko Anjani