Implementing a Warehouse Management System (WMS) is one of the most consequential operational decisions a logistics business can make. Done well, it transforms inventory accuracy, labour productivity, and order fulfilment speed. Done poorly, it creates confusion, write-offs, and frustrated customers.
Yet many East African organisations invest in WMS technology without the trained personnel to maximise its value.
Choosing the Right System for Your Scale
The WMS market ranges from enterprise platforms like SAP EWM and Oracle WMS to mid-market solutions like Fishbowl and inFlow. For most Ugandan logistics operations, a cloud-based mid-market solution with mobile scanning capability and local support is the most pragmatic starting point.
People Are the Limiting Factor, Not Technology
In our WMCPC programme, we consistently find that WMS failures are not technology failures — they are people failures. Warehouse staff who do not understand why they are scanning items, or supervisors who cannot read system-generated reports, will work around the system rather than through it.
Before go-live, every person who touches the system needs role-specific training.
The Data Foundation: Getting Master Data Right
The most common cause of WMS underperformance we observe is poor master data: incorrect unit-of-measure configurations, inaccurate bin locations, duplicate SKUs, and unmaintained vendor records.
Before migrating to a new system, invest time in a master data audit and cleanse.
Measuring Success After Go-Live
Define your KPIs before implementation, not after. Standard warehouse performance metrics include inventory accuracy (target: >99%), order pick accuracy (target: >99.5%), on-time dispatch rate, and labour productivity (lines picked per hour).
Track these before and after WMS implementation to quantify the system's impact.