Import planning data
Address and logistical planning information is collected from relevant systems.
Postal services
Turn postal planning and address data into machine-ready sorting data
GaFoSio takes address and planning data from multiple systems and creates enriched target data for postal sorting machines so items can be prepared for the correct delivery districts and practical delivery sequence.
berNow SaaS product
GaFoSio
Who it is for
Built for postal service organisations connecting planning systems with sorting operations.
GaFoSio is built for postal service organisations that use multiple planning sources, address data and route or logistics data, and need to transform that information into sorting-machine target data for delivery districts and practical delivery sequence.
Typical workflow
From logistics planning data to machine-ready sorting output
GaFoSio supports the path from postal logistics planning data to validated sorting-machine output, helping delivery operations turn existing address, route and district information into usable machine data.
Combine & validate
Information from different sources is reconciled and prepared.
Enrich sorting logic
Delivery districts and delivery sequence information are applied.
Export machine data
Prepared target data is delivered in the format required by sorting equipment.
Feature areas
Capabilities for preparing machine-ready postal sorting data
GaFoSio combines address, routing and logistics planning data, enriches it with delivery structure and prepares validated output for postal sorting systems.
Multi-source import
Import address, routing and logistics planning data from multiple systems already used in postal operations.
Data reconciliation
Reconcile address, route and district information so planning inputs can be prepared consistently.
District assignment
Assign addresses to the delivery districts required for operational sorting and delivery preparation.
delivery sequence data enrichment
Add delivery sequence information so sorted items better match practical delivery work.
Machine export
Prepare enriched target data for the sorting-machine output required by the customer environment.
Validation & exceptions
Validate source data, review exceptions and support corrections before machine-ready data is exported.
Business value
What changes for the customer.
- Better use of existing planning dataTurn information already available in planning systems into machine-usable sorting output.
- More useful sorting resultsPrepare items according to delivery districts and delivery sequence rather than only basic destination criteria.
- Less manual data preparationReduce repetitive transformation and correction work between planning systems and sorting machines.
- Better alignment with delivery operationsPrepare sorting output around delivery districts and practical delivery sequence so machine sorting better supports downstream delivery work.
Integration & deployment
Designed around existing planning sources and sorting-machine requirements.
GaFoSio is adapted around the customer’s existing planning sources, address data, sorting-machine requirements and operational review process. Source-to-target mappings, enrichment rules, validation checks and machine-output formats are defined during onboarding so the solution fits the existing postal data flow rather than requiring a new system landscape.
FAQ
Questions about GaFoSio and postal sorting data preparation
Can GaFoSio work with multiple planning sources?
Yes — this is exactly the type of scenario the product is designed to support.
Can delivery districts and delivery sequence data be generated or enriched?
Yes. GaFoSio can use planning and address information to prepare the district assignment and delivery sequence data required for the sorting process.
Can the output be adapted to different sorting-machine formats?
Yes. The target output is aligned with the requirements of the sorting environment. The exact format and transformation rules are defined during setup.
How are inconsistent or incomplete source data handled?
Source information can be validated and exceptions reviewed before machine-ready output is created, allowing incorrect or incomplete records to be identified and corrected.
Can existing validation and review steps remain part of the process?
Yes. The implementation can reflect the operational review and validation steps that are required before data is released to sorting equipment.
Can you provide a product-specific demonstration?
Yes — demonstrations can focus on source data, enrichment logic and machine output requirements.
Customer feedback
What customers say about this product.
Interested in GaFoSio?
Let’s look at your actual process.
We can discuss requirements, answer product-specific questions and prepare a tailored demo.