Approving a warehouse technology investment without a clear ROI model is a risk no finance leader should be asked to take. Yet many SAP WMS improvement proposals arrive without solid baseline data, with open-ended project scopes, and with vague productivity promises. The result: decisions get deferred, budgets get reallocated, and the operational problem persists.
There is a way to get the numbers first.
The Real Cost of an Underperforming Mobile Layer
Operational inefficiency in the warehouse has a direct financial footprint that is often underreported:
- High error ratestranslate into costly re-picks, returns processing, and customer satisfaction issues
- Slow seasonal onboardingmeans paying for operators who are not yet fully productive — sometimes for weeks
- Manual workarounds(paper, radio, verbal confirmation) add hidden labor cost to every process
- Parallel investments— in training, in patching legacy interfaces, in managing blackspot workarounds — accumulate silently
Before any investment decision, it helps to know what the status quo is actually costing.
A Diagnostic-First Approach to SAP WMS Improvement
Quinaptis, in partnership with PreBilt, structures every engagement around a 2-week WMS UX Performance Scan. This diagnostic:
- Measures your current RF friction score, training time, error rate, and connectivity issues
- Produces a documented KPI baselinespecific to your warehouse operation
- Outputs a full-warehouse business case, scoped and priced before any deployment begins
This means the ROI model is built on your own operational data — not on industry averages or vendor estimates.
What the Investment Looks Like
PreBilt deployments through Quinaptis are structured to reduce financial risk:
- Fixed scope, fixed pricing— no surprise development costs or scope creep
- Configuration-based deployment— no ABAP development, which eliminates a major cost and risk driver in traditional SAP customization projects
- Fast go-live— measurable results possible within weeks, not quarters
- Pilot option— if you operate multiple warehouses, one site can be used as a controlled deployment before full rollout
Performance Benchmarks That Inform the Business Case
The performance improvements associated with PreBilt deployments include:
- Up to 25–30% productivity increaseacross warehouse operators
- Up to 90% reduction in training timefor new hires and seasonal staff
- Approximately 99% inventory accuracy, reducing downstream error costs
These benchmarks can be used to model expected returns against your current headcount, error rate, and training spend — giving you a credible financial narrative before any budget is approved.
A Note on SAP Alignment
PreBilt is SAP-certified and runs natively in SAP — on-premise, private cloud, or public cloud. This is not a third-party integration that adds technical debt or creates a dependency outside your SAP landscape. It enhances what you already have, which reduces the risk of parallel investment concerns and future compatibility issues.
Before approving — or rejecting — a warehouse mobile improvement budget, get the data. Request a WMS UX Performance Scan from Quinaptis and receive a business case built on your own operational metrics — at no commitment.