Umsatzverluste durch falsche oder fehlende Preisauszeichnung
Definition
When inventory is received and tagged manually, SKUs can be given incorrect price labels or old markdown tags remain on items, creating discrepancies between system price and tag. Under the Australian Consumer Law (enforced by ACCC), retailers risk allegations of misleading conduct if shelf or tag prices differ from scanned prices; while not apparel‑specific, guidance states consumers are generally entitled to pay the lowest displayed price in such circumstances, directly eroding margin (e.g., supermarkets’ ‘scanning code of practice’ that many retailers emulate). Mis‑tagged high‑value apparel (e.g., AUD 199 item tagged as AUD 99) can easily cost AUD 100 per incident. With hundreds of SKUs and frequent promotional changes, a conservative assumption of 5–10 serious mis‑tags per month per store implies AUD 500–1,000 in lost revenue monthly, or AUD 6,000–12,000 annually. GS1 Australia’s item‑level tagging guideline stresses that GTIN and encoded data on RFID and price labels must be identical, explicitly to prevent such discrepancies and the resulting commercial impact.[2]
Key Findings
- Financial Impact: Logic-based: ≈AUD 500–1,000/month per store in under‑charges from mis‑tagged apparel and price mismatches (≈AUD 6,000–12,000 per store per year). Individual incidents can be AUD 20–100+ margin loss per item.
- Frequency: Recurring; spikes around promotions, seasonal markdowns and range resets.
- Root Cause: Manual price ticketing on receipt, lack of integration between POS/inventory system and tagging, human error in selecting ticket templates, failure to remove old markdown or promotional tags, and poor control over re‑ticketing returns.[2]
Why This Matters
The Pitch: Fashion retailers in Australia 🇦🇺 can lose tens of thousands of AUD annually from price mismatches and mis‑tagged stock. Automating price synchronisation between inventory system and tags reduces under‑charging and prevents abandoned transactions.
Affected Stakeholders
Store manager, Pricing manager / merchandise planner, POS and systems manager, Frontline cashiers
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Financial Impact
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Current Workarounds
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Methodology & Sources
Data collected via OSINT from regulatory filings, industry audits, and verified case studies.
Related Business Risks
Inventurdifferenzen durch fehlerhafte Wareneingangserfassung
Produktivitätsverlust durch manuelles Wareneingang-Tagging
Nacharbeit und Nachetikettierung wegen nicht konformer Pflegekennzeichnung
Hohe Verwaltungsaufwände durch manuelle Provisionsabrechnungen
Strafzahlungen wegen fehlerhafter Provisionsabrechnung und Unterschreitung des Mindestlohns
Unerwartete Provisionskosten durch falsch designte Provisionsmodelle
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