Turn unstructured location data into a reliable, geocoded, continuously improving location master — built for logistics operators.
Logistics organizations constantly receive location information in inconsistent formats — from customers, carriers, systems, and humans.
«Müller GmbH», «Mueller GmbH Lager», «Mueller Warehouse» — three names for one physical location, none linked.
Missing house numbers, wrong postal codes, outdated street names — partial data that breaks geocoding and routing.
"Drive around the warehouse and ring at the green door" embedded directly in the address line of the TMS.
Customer ID, ERP reference, carrier code, TMS key — all pointing to the same location with no shared truth.
The same depot appears four times in the location master — slightly different names, coordinates, or missing fields.
Dispatchers resolve address ambiguities by phone — time that a clean data layer would free up entirely.
Match&Clean processes each submission through a structured pipeline — parsing, validating, geocoding, and matching in a single async call.
The input string is decomposed into address fields. Non-address content — driver instructions, gate info, contact names — is identified and separated out.
Address fields are corrected, standardized, and completed — normalized against postal reference data.
Precise latitude/longitude coordinates are assigned to the validated address.
The processed location is matched against the customer's existing database. If found, the existing reference is returned. If new, a record is created.
A structured, geocoded, enriched location record is delivered via webhook — ready for immediate operational use.
Every result is standardized, geocoded, and enriched — usable immediately in TMS, ERP, routing, or IoT systems.
Match&Clean recognizes and separates non-address content — contact persons, driver instructions, gate references, warehouse handling notes, and informal descriptions — keeping address data clean.
The impact of reliable location master data runs through every layer of logistics operations.
Reliable location intelligence creates the basis for the next generation of logistics automation — geofencing, IoT triggers, event-driven workflows, and AI-ready data pipelines all depend on a clean location layer.
Unlike static address validation, Match&Clean continuously expands and improves your location knowledge base — becoming more aligned with your real-world logistics network over time.
Each processed location raises the quality of subsequent matches against the same or similar entries.
The system learns how the same location is described by different customers, drivers, and systems.
Historical names, abbreviations, and informal descriptions are captured — so no match is ever missed.
Operational notes and site-specific knowledge accumulate over time into a living, searchable knowledge base.
Match&Clean is a standard REST API — minimal integration effort, maximum flexibility.
Illustrative calculation based on industry benchmarks — for a mid-size freight forwarder processing ~5,000 shipments per day.
From one-time data cleanup to continuous real-time enrichment of incoming shipment data.
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