Shippers
As a shipper, you depend on carriers, warehouses and freight forwarders to execute your orders correctly. But their performance is closely tied to the quality of the information they receive from you.
Incorrect addresses, missing references, outdated time windows and incomplete shipment instructions, these are but examples of what might go wrong. They call you, you have to provide extra or different data, all of which could have been prevented.
Logichainge Data Quality automatically validates and enriches shipping data before it is shared across the supply chain. This helps prevent you and your partners from having to do extra or double work. Now that these operational issues have been prevented, shipments can be carried out without any problems.
Reliable deliveries begin with reliable shipment data
Your logistics partners cannot correct what they do not know
Shipment data is often spread across ERP systems, customer portals, emails, spreadsheets and manual instructions.
One system may contain a new delivery address while another still uses the old one. A delivery window may change after the transport order has already been sent. A customer reference may be mandatory for unloading but missing from the carrier instruction.
Each issue may appear small, but the operational impact can be significant:
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repeated calls and emails;
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transport orders placed on hold;
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failed or delayed deliveries;
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additional administrative work;
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invoice disputes;
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reduced visibility over delivery performance.
The underlying problem is often not transport execution. It is the quality and timing of the data behind it.
Logichainge Data Quality creates a reliable data layer between your systems and logistics partners
LDQ checks logistics data before it moves downstream.
The logistics AI-platform can validate incoming or outgoing order information, identify missing values, standardise formats, improve address quality and enrich records with additional information.
Clean data can then be transferred to your carrier, forwarder, warehouse or connected logistics system.
This allows you to improve the quality of execution without changing your existing ERP, TMS or WMS environment.
Your shipments, automated.
How Logichainge Data Quality automation for shippers works
1. Collect shipment data
LDQ receives order and shipment information from the systems and channels already used by your organisation.
2. Validate critical fields
The platform checks data such as:
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collection and delivery addresses;
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customer and shipment references;
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dates and time windows;
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contact details;
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pallet types, quantities, weights and dimensions;
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handling instructions;
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agreed data formats.
3. Detect inconsistencies
Through AI, historical data and rules relating to your operation, LDQ identifies missing, conflicting or unusual values before the order is executed.
4. Enrich the order
Records can be completed with validated address information, geocoordinates or other data specific to your operation. Address correction and data enrichment are core elements of the Logichainge Data Quality automation pipeline.
5. Distribute clean data
Validated data is sent to the right logistics partner or operational system in a consistent, expected format.
6. Analyse recurring issues
The platform helps reveal which customers, locations, systems or processes repeatedly create data-quality problems.
What shippers gain from better logistics data
More reliable execution
Fewer delivery exceptions
Less coordination work
Provide carriers and warehouses with the information they need from the start.
Catch incomplete addresses, missing references and inconsistent instructions before they interrupt execution.
Reduce the time spent clarifying order information with logistics partners.
Better partner performance
Improved customer service
Greater control
Give carriers and forwarders a more dependable foundation for planning and delivery.
Resolve potential issues before they affect the customer.
Understand where data-quality problems originate and which processes require attention.