sap · automation · ewm · warehouse-management · sap-marketplace · 2026
SAP Marketplace Added a New Automation Tool — And the Scoring Logic Broke First
A new SAP automation tool landed in the SAP Store. Here's what caught my attention — and where the scoring logic failed under real conditions.
SAP Marketplace Added a New Automation Tool — And the Scoring Logic Broke First
There's a specific kind of frustration that comes from watching automation fail at the scoring step — not at execution, not at integration, but at the moment the system is supposed to decide what to do next.
That's where I landed when I started looking at the new SAP automation tool that just appeared in the SAP Store.
What Was Added and Why It Matters
The tool surfaced through SAP Insider coverage, positioned as a way to extend automation capabilities for SAP environments — relevant territory for anyone working with EWM, where task interleaving, warehouse order creation, and labour management rules already depend heavily on system-driven decision logic.
The premise is straightforward: reduce manual steps, let the system score or prioritise actions, then execute. In warehouse management, that pattern shows up constantly — which putaway strategy fires, which storage type gets selected, which work centre gets the next task. Automation layered on top of that has obvious appeal.
But the value of any scoring-based tool lives or dies on whether the scoring logic holds under real warehouse conditions. And that's exactly where things got interesting.
Scoring Failed — Here's What That Actually Means
When I say "scoring failed," I don't mean the tool crashed. I mean the output of the scoring engine didn't reflect the conditions it was supposed to be evaluating.
In EWM terms, this is familiar territory. Think about storage type search sequences — the system evaluates storage types in order, scores them against capacity and stock data, and selects the best match. When the scoring logic is off, you get transfers to wrong locations, blocks, or simply no proposal at all. The system doesn't tell you why. You dig.
With this tool, the failure mode was similar in character: the automation layer was running, but the scoring criteria weren't being applied consistently. The result was prioritisation decisions that didn't match the actual warehouse state.
The root cause isn't always the tool itself. Sometimes it's the data the scoring engine is reading — stale, incomplete, or mis-mapped to the parameters the algorithm expects. Sometimes it's a configuration gap between what the tool assumes about your SAP environment and what's actually there.
Where This Tends to Break in EWM Contexts
If you're evaluating any automation or scoring tool against an EWM landscape, here's where I'd focus first:
Warehouse order creation rules (WOCC)
Any external automation touching task generation has to account for how Warehouse Order Creation Rules work. If the tool generates or influences warehouse orders without respecting WOCC group logic, scoring on the EWM side becomes meaningless — the foundation shifts under the algorithm.
Activity area boundaries
Scoring tools that don't understand activity area segmentation will produce recommendations that look valid globally but fail locally. A task that scores well across the warehouse may violate activity area constraints that EWM enforces at execution time.
Queue assignment and work centre logic
If the automation is trying to optimise labour or task flow, it needs visibility into queue assignments. Without that, the scoring model is optimising against a simplified view of the warehouse — and real execution will diverge from the prediction.
What I'd Actually Check Before Deploying This
Before treating any new marketplace tool as production-ready in a warehouse context:
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Validate the scoring inputs, not just the outputs. Run the tool against a known scenario where you already know the correct answer. If the score doesn't reflect what you expect, trace backwards to what data the algorithm actually consumed.
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Map the integration points against your EWM configuration explicitly. Don't assume the tool's defaults match your system. Check
storage sectionassignments,stock removalstrategies, and work centre mappings before go-live. -
Build a failure case into your test plan. Deliberately give the tool a condition it should deprioritise or reject. If it scores that condition the same as a valid one, the logic isn't discriminating the way it needs to.
Automation in SAP environments is worth pursuing — the manual overhead in warehouse operations is real and the gains from well-designed task interleaving or intelligent storage type selection are measurable. But "added to the SAP Marketplace" is not the same as "validated for your warehouse."
The Honest Takeaway
New tooling is worth evaluating. The SAP Store adding an automation layer for warehouse environments is directionally interesting, and I'll keep watching how this develops.
But scoring logic that fails silently is more dangerous than a system that won't run at all. A system that doesn't start tells you something's wrong. A system that scores incorrectly and executes confidently — that one you find later, usually in the middle of a shift.
If you've run into scoring failures in EWM automation — whether with this tool or something you built in-house — I'd be curious what your root cause turned out to be. Drop a comment or find me at markus-mildner.com.