Stop poor-quality order data before it reaches transport planning
Your planners need complete, reliable and structured transport orders. Instead, information often arrives through emails, PDFs, spreadsheets, portals and EDI messages — all using different formats.
Logichainge LDQ captures, validates, standardises and enriches incoming order data before it enters your TMS.
The result is less manual entry, fewer corrections and a stronger foundation for transport planning and execution. Automatically.
Carriers
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:
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read order documents;
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copy data into the TMS;
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check addresses;
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search for missing references;
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contact the customer for clarification;
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correct inconsistent dates or time windows;
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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.
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 Logichainge automate and improve order-entry and data quality for carriers?
1. Receive orders from shipper through any channel
LDQ collects incoming orders from sources such as:
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email;
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PDF or document upload;
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customer portals;
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EDI;
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API connections;
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structured and unstructured files.
2. Extract order information
AI-powered automated processing identifies relevant fields without depending solely on fixed document templates.
3. Validate the data
LDQ checks whether required information is present, complete and logically consistent.
4. Correct and enrich records
The platform can standardise data, improve address quality and add missing information as configured.
5. Transfer orders into the TMS
Validated orders are sent to the existing TMS, reducing repetitive manual input.
6. Surface exceptions
Orders that require human attention are clearly identified instead of silently entering planning with unreliable data.
7. Track data quality
Operational teams can analyse processing times, exceptions and recurring sources of poor-quality data through reporting capabilities.
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.