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Inventory says 12,000 units, the warehouse finds 9,400

L'inventario dice 12.000 pezzi, il magazzino ne trova 9.400 · Logistics · Advanced

The case

The year-end physical inventory reveals a 21% discrepancy on a high-value item family: the system says 12,000 units, the shelves hold 9,400. The discrepancy is ten times the historical tolerance. There are at least four possible causes: never-corrected receiving errors, unrecorded production picks, phantom returns, or theft. The auditor wants an explanation by month-end to certify the financial statements, and the plant director, on the defensive, blames the new ERP. How do you run the investigation?

L'inventario fisico di fine anno rivela uno scostamento del 21% su una famiglia di articoli ad alto valore: il sistema dice 12.000 pezzi, a scaffale ce ne sono 9.400. Lo scostamento supera di dieci volte la tolleranza storica. Le cause possibili sono almeno quattro: errori di carico mai corretti, prelievi non registrati dalla produzione, resi fantasma, o furti. Il revisore chiede una spiegazione entro fine mese per certificare il bilancio, e il direttore di stabilimento, sulla difensiva, sostiene che è colpa del nuovo gestionale. Come conduci l'indagine?

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Frequently asked questions

What is the "Inventory says 12,000 units, the warehouse finds 9,400" problem-solving case on Grace?

It is a advanced-level Logistics case based on a real workplace situation. You read the problem, write how you would solve it in free text, and Grace's AI judges whether your solution actually works — or what is still uncovered.

How is my solution evaluated?

Grace's AI checks four things: whether you address the core problem (not just the symptoms), whether your plan is feasible within the constraints of the case, whether you consider risks and consequences, and whether you avoid the typical mistakes. You get a solved/not-solved verdict, a 0-100 score and coaching feedback.

Is there one correct answer to "Inventory says 12,000 units, the warehouse finds 9,400"?

No. Grace judges the substance of your reasoning, not similarity to a script. Different approaches pass, as long as they genuinely solve the problem within the constraints described in the case.

Do I need to pay to try this case?

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