LOGICHAINGE DATA QUALITY
Improve logistics data quality before it reaches your system
Logichainge Data Quality improves the quality of logistics and transport order data before it reaches your operational systems. Order entry information is automatically validated, standardised and enriched using configurable rules, customer-specific logic and reference data.
Whether an order enters through email, EDI, API or another connected source, LDQ helps ensure that the resulting information is complete, consistent and ready for use in your TMS, ERP or WMS.
ALL DOCUMENT TYPES. ONE PLATFORM.
Process every document type across your logistics operations
Logichainge Data Quality handles all your logistics documents with 100% accuracy - improving data quality and keeping your operations moving.
Warehouse documents
Process inbound receipts, pick lists, packing slips, warehouse orders and more
Transport documents
Capture and violate BOLs. PODs, freight invoices, waybills, and transport orders.
Operational documents
Digitilize delivery notes, shipment instructions, claims, reports and operational forms.
And many more
From any format to any layout - Logichainge Data Quality adapts to your documents.
100% accuracy promise
Reliable AI order entry you can trust, every time
Improved data quality
Cleaner, structured data for better decisions
Seamless integration
Web hooks and APIs for smooth integration
Enterprise-grade security
Secure and built for enterprise environments
Achieve 100% Data Accuracy Against Your Configured Rules
LDQ is designed to deliver 100% accurate output against the validation rules and reference data configured for your process. Incoming values can be checked, standardised and corrected before the final order is released to downstream systems.
This means operational teams do not have to rely solely on the quality of the original customer data. The platform actively checks the information before it becomes part of the operational workflow.
SET UP ONCE
Set it up once and forget about it
Configure your sources, rules and destinations once. From there, the platform continuously validates, enriches, and routes your logistics data so your team can focus on operations.
One-time configuration
Set the flow once
Always-on processing
Runs continuously
Continuous visibility
Track performance in real time
HOW LOGICHAINGE DATA QUALITY WORKS
Increase logistics data quality in six simple steps
01
Configure the platform
Choose sources, map fields, and define business rules
03
Extract and structure the information
Where necessary, incoming documents are converted into structured order data using AI processing or predefined template processing.
05
Standardise and enrich
Recognised values can be standardised using dictionaries and reference data, while customer-specific rules can enrich or adjust information according to the requirements of each process.
02
Data comes in
Order data enters through sources such as automated order entry, email, EDI, APIs, files or connected systems.
04
Validate the data
Each configured field can be checked for completeness and expected formatting. Required values, field formats and configured validation rules help identify incorrect or missing information before the order continues.
06
Deliver validated data
Once the data satisfies the configured requirements, the final structured order can be delivered to the relevant TMS, ERP, WMS or integration endpoint.
What Does Data Quality Mean in Logistics?
Logistics data quality refers to whether transport information is complete, accurate, consistent and usable by the systems and people that depend on it.
Poor data quality can include missing references, incorrect addresses, inconsistent package descriptions, invalid codes or values that do not match the requirements of the receiving system.
LDQ improves this information before it reaches planning or execution, significantly reducing the number of problems that need to be resolved manually later in the process.
DOCUMENT INTELLIGENCE
Process every logistics document type with confidence
Logichainge Data Quality helps logistics teams process warehouse documents, transport documents, and other logistics paperwork with high accuracy, improved data quality, and seamless integration into existing workflows.
Warehouse documents
Transport documents
Seamless integration
ADDRESS VALIDATION
Validate and enrich address data with confidence
Logichainge Data Quality helps logistics teams automatically check, correct, and enrich address data before it moves through the workflow. Improve delivery accuracy, reduce delays and support better planning with reliable address data.
Automatic address validation
Correction and completion of missing data
Sanction and compliance screening
Enrichment with geocoordinates and open-source data
How does LDQ validate order data?
FIELD-LEVEL VALIDATION
LDQ checks incoming order data against configurable requirements before the information is delivered downstream. Fields can be marked as required, validated against expected formats and compared with recognised reference values.
If an incoming value does not meet the configured requirements, the platform can prevent incorrect data from simply continuing into the operational process.
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STANDARDISE CUSTOMER DATA
Different customers often use different descriptions, abbreviations and codes for the same logistics information. LDQ can map these variations to standard internal values, helping create consistent transport data regardless of how the original order was written.
This reduces differences between customer formats and makes downstream automation more reliable.
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APPLY CUSTOMER-SPECIFIC RULES
Not every customer or transport flow follows the same rules. LDQ allows validation, enrichment and default behaviour to be configured for individual customers, helping the platform reflect the requirements of each operational workflow.
This means different incoming formats can still produce consistent data for your internal systems.