
Carriers
Automated Order Entry and Data Quality for Carriers
Logichainge helps carriers automate logistics order entry and improve data quality before incoming transport orders reach planning. Orders received from shippers and consignees can be processed, validated and standardised automatically before structured information is delivered to the carrier’s existing TMS or operational systems.
This reduces manual data entry, order corrections and repetitive customer communication while giving planners cleaner and more consistent transport data from the start.
KEEP YOUR TMS AND DATABASES CLEAN
Your TMS is only as reliable as the data entering it
More than 35% transport operations still depend on manual checks or complete manual order-entry before an order can be planned.
Employees need to:
Read order documents
Copy data into TMS
Check addresses
Search for missing references
Contact the customer for clarity
Re-enter changed information
This work takes time, and it also creates risk. A single incorrect address, quantity or delivery condition can affect planning, capacity, invoicing and customer communication.
Your TMS may be working correctly. The problem is that it is receiving unreliable data.
How Can Carriers Automate Incoming Order Entry?
Carriers can automate incoming order entry by capturing transport orders from sources such as email, PDF, Excel, EDI, customer portals and connected systems. Logichainge processes the incoming information and converts it into structured order data, reducing the need for customer care or operations teams to manually re-enter shipment details.
The processed order can then move through data-quality checks before it is delivered to the carrier’s TMS or planning environment.
Logichainge Data Quality automatically turns incoming orders into validated transport data
LDQ acts as an intelligent data-quality layer in front of your TMS.
Orders can be collected from email, uploads, portals, EDI and other sources. Automated order-data extraction identifies relevant information, after which the platform validates, improves and structures the data before transferring it into the operational system (TMS). This reflects Logichainge’s existing Order Entry workflow.
Your planners receive clean orders, while customer-specific formats and documents are processed more consistently.

How Does Better Data Quality Improve Transport Planning?
Improved data quality gives planning teams the following benefits:
More reliable information before they begin working on a shipment
Check incoming order data for missing or inconsistent values
Standardise recognised information
Apply customer-specific rules
Improved data quality helps with the following problems in your workflow:
Preventable order corrections
Planning interruptions
Repetitive communication with clients about missing information
Knowledge/data that only exists in your operational intelligence
How Can Carriers Process Orders From Different Customers?
Carriers often receive transport orders in different formats depending on the customer. One shipper may send a PDF by email, while another uses Excel, EDI or a portal. Logichainge can process different input formats and apply customer-specific processing rules before converting the information into a consistent order structure.
This allows carriers to automate more customer orders without forcing every shipper to adopt the same process or document format.
06
Track data quality
Operational teams can analyse processing times, exceptions and recurring sources of poor-quality data through reporting capabilities.
01
Receive orders from shipper through any channel
LDQ collects incoming orders from any source:
-
email
-
PDF or document upload
-
customer portals
-
EDI
-
API connections
-
structured and unstructured files
How does Logichainge automate and improve order-entry and data quality for carriers?
02
Extract order information
AI-powered automated processing identifies relevant fields without depending solely on fixed document templates.
03
Validate the data
LDQ checks whether required information is present, complete and logically consistent.
05
Transfer orders into the TMS
Validated orders are sent to the existing TMS, reducing repetitive manual input.
04
Correct and enrich records
The platform can standardise data, improve address quality and add missing information as configured.
06
Surface exceptions
Orders that require human attention are clearly identified instead of silently entering planning with unreliable data
What carriers gain from better logistics data


Faster order processing
Less manual entry
Fewer planning disruptions
Reduce the time between receiving a customer order and making it available for planning.
Automate repetitive data extraction and input tasks.
Prevent incomplete or inconsistent order information from reaching planners unnoticed.



Lower correction workload
Better scalability
Stronger TMS data
Reduce emails, phone calls and repeated checks with customers.
Handle increasing order volumes without increasing administrative work at the same rate.
Improve the quality of the information used for planning, execution, reporting and invoicing.