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Warehouse management system · data first

WMS implementation built on clean master data

We work on a data-first principle. Before a WMS goes live we cleanse the master data, add weights and dimensions, align the reference data and build one data and integration model. Only then do we switch on the functions, so the WMS works correctly from day one and becomes a reliable data source for ERP, MDM and BI.

  • Target warehouse model and WMS setup
  • Master data, weights and dimensions
  • Integration with ERP, MDM and SAP
  • Audit of an existing WMS
Discuss your warehouse What we do

Data first: the order of work

  1. 1Master data cleansingduplicates, errors
  2. 2Weights and dimensionspacks, units
  3. 3Data and integration modelERP · MDM · WMS
  4. 4WMS processes switched onreceipt to shipment
The WMS starts on a clean data loop.

What we do

WMS implementation services

  • WMS implementation

    We design the target warehouse model, select and implement the WMS, and set up receipt, put-away, picking, shipment and stocktaking.

    • Integration with ERP, SAP and MDM
    • Staff training and go-live support
    • Higher accounting accuracy and faster order processing

  • Master data, weights and dimensions for the WMS

    We cleanse and classify warehouse master data: items, packs, storage units, weights and dimensions.

    • Duplicates and errors removed
    • Item records enriched with our software and on-site measurement
    • Templates and filling rules for WMS and ERP

  • Audit and optimisation of an existing WMS

    A full audit to find out why the system works poorly: settings, master data quality, warehouse algorithms, bin storage, routes and integrations.

    • Bottlenecks, duplicates, errors and unused functions found
    • Warehouse process redesign without stopping operations
    • Safe migration from one WMS to another

Why Synopps

Data expertise, one team with you and experience of complex WMS projects

  1. 1

    Data and master data expertise

    A WMS only works on clean data. We build the reference data, cleanse master data, add weights and dimensions and design the data model.

  2. 2

    One team with yours

    We make decisions together, adapt to your real processes and help users move to the new way of working.

  3. 3

    Complex architectures

    Holding structures, distributed warehouses, ERP, WMS, MDM and DWH integrations, links with MES and SAP are normal projects for us.

  4. 4

    Measurable results

    From the start we fix the business goals: accounting accuracy, order speed, fewer manual operations, data quality.

How the project runs

Main stages of a WMS implementation

Each stage ends with clear deliverables.

  1. 1

    Warehouse and process survey

    Interviews with logistics, warehouse and IT, current metrics and bottlenecks, the warehouse layout and flows as they are.

  2. 2

    Target model design

    Receipt, put-away, picking and stocktaking processes, bin locations and strategies, requirements for the WMS, integrations and equipment.

  3. 3

    WMS setup, integration and testing

    Processes configured, master data loaded, exchange with ERP, MDM, TMS and other systems, unit, integration and acceptance tests.

  4. 4

    Warehouse preparation and training

    Bin labelling, handheld terminals, printers and label templates, training for storekeepers, supervisors and IT support, user guides.

  5. 5

    Pilot operation

    Pilot shifts on part of the warehouse, scenarios worked through, then full go-live.

Track record

Master data and integrations for a WMS launch

Pharmaceutical holding with five production sites

Client

  • Five production sites, distributed logistics and international offices
  • Before the new WMS went live, master data had to be correct and consistent, duplicates removed and weights and dimensions aligned

What we did

  • Analysed requirements and designed the ERP, WMS, MDM and SAP integration architecture
  • Built the target master data model for WMS processes: rules, migration templates, classifications
  • Cleansed and enriched 80,000+ records, including weights, dimensions, packs and pack multiples, with physical checks in the warehouses
  • Set up integration flows and prepared rules, procedures and user guides
  • 80,000+records cleansed and enriched
  • −25%smaller master data thanks to removed duplicates and obsolete records
  • Error-freeWMS operation, with warehouse metrics improved already in the pilot

More projects

FAQ

WMS implementation: common questions

How long does a WMS implementation take?

Usually 3 to 6 months. It depends on the size and complexity of the warehouse, the quality of master data and weights and dimensions, the number of integrations and how quickly decisions are made. We give an exact plan after the warehouse survey.

How do we choose a WMS?

We start with processes, not the product: warehouse and goods type, volumes and operations, bin storage, batches and expiry dates, labelling, handheld terminals. Then we look at integration with your ERP and the cost of ownership, and compare suitable systems against your requirements.

How is a WMS different from warehouse accounting in the ERP?

The ERP shows how much stock there is. The WMS manages where it is and what to do with it: bin storage, tasks on handheld terminals, put-away and picking rules, control of every operation. The ERP stays the accounting system, and the two exchange data.

Can a WMS go live without cleansing the data first?

Technically yes. In practice it leads to addressing errors, duplicate items, terminal failures and a failed launch. That is why we cleanse master data and add weights and dimensions before go-live.

Contact

Let's discuss your warehouse

Tell us about your warehouses, systems and master data. We will propose a target model and the first steps.

  1. 1
    Task and systems

    What you have now and what you need

  2. 2
    Quick assessment

    Data, processes and IT landscape

  3. 3
    Work plan

    Stages, timeline and scope

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