🇦🇺Australia

Umsatzverlust durch Fehlbesetzung und ungenaue Personalplanung

3 verified sources

Definition

Grocery is described as a very low-margin, fast-paced business where it is not enough to look at labour results monthly or weekly; Harris Farm Markets uses real-time sales and item counts in Dayforce to roster according to each individual store’s needs and manage wages daily.[5] The stated goal is to ensure the right person is in the store at the right time, manage overtime and avoid surprises in wage costs, which implies that prior to this there were inefficiencies in labour allocation relative to demand.[5] Workforce tools like Roubler promote using workforce analytics to reallocate resources in line with sales results, again indicating that misalignment between rosters and sales is a known, material problem.[2] Logic: Industry studies in retail often show that poor labour scheduling can depress conversion and basket size; conservatively assuming 1–3% of revenue lost through stockouts on shelves, abandoned baskets and customers deterred by queues due to understaffing, a supermarket with AUD 20–40m annual turnover could be foregoing AUD 200,000–1.2m per year in achievable sales.

Key Findings

  • Financial Impact: Logic-based estimate: 1–3% of annual store revenue lost due to misaligned staffing. For a grocery store with AUD 20–40m yearly revenue, this equates to approximately AUD 200,000–1.2m per store per year in lost or delayed sales.
  • Frequency: Frequent, especially during daily and weekly peak periods (after work, weekends) and promotional events where demand surges.
  • Root Cause: Rosters built without integrating historical and real-time sales data; lack of forecasting tools; limited visibility of basket size, conversion and queue metrics at scheduling time; rigid approval processes that delay reactive staffing changes.

Why This Matters

The Pitch: Australian grocery retailers 🇦🇺 lose 1–3% of potential revenue per store each year through misaligned staffing and long checkout queues. Automating demand‑driven rostering with real‑time sales data protects these sales and improves labour productivity.

Affected Stakeholders

Store managers, Department managers (e.g. fresh, checkout), Workforce planners, Operations and finance leadership

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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.

Evidence Sources:

Related Business Risks

Überstunden- und Zuschlagskosten durch fehlerhafte Dienstpläne

Logic-based estimate: 3–5% of annual wage spend as avoidable overtime/penalties. For a typical supermarket wage bill of AUD 3–5m, this is approximately AUD 90,000–250,000 per store per year in unnecessary wage cost.

Lohn- und Gehaltsunterzahlung durch falsche Award-Interpretation

Logic-based estimate: Underpayments of AUD 10–20 per employee per week for 400 staff over 3 years equals roughly AUD 0.6–1.25m in back‑pay, plus potential civil penalties in the hundreds of thousands to low millions of AUD depending on seriousness and number of contraventions.

Verzögerte Abrechnung durch manuelle Zeiterfassung und Dienstplanfreigabe

Logic-based estimate: 20–40 hours of management time per month per store spent on manual timesheet collation and correction, at an assumed fully loaded cost of AUD 40–60/hour, equals roughly AUD 9,600–28,800 per store per year in avoidable labour cost, plus knock-on effects on cash flow and forecasting accuracy.

Fehlentscheidungen bei Personalbudgets durch fehlende Echtzeit-Daten

Logic-based estimate: 2–4% EBIT impact from suboptimal labour decisions. For a supermarket with AUD 30m revenue and target 3% EBIT (AUD 900k), this equates to approximately AUD 600,000–1.2m per store per year in lost or foregone profit due to poor labour scheduling and budgeting decisions.

Langsame Kassenabstimmung und Warteschlangen

LOGIC: 1–2 Arbeitsstunden/Tag je Filiale für Kassenabstimmung und Bargeldtransporte (≈10.000–20.000 AUD p.a. bei 30 AUD/Stunde) plus 0,1–0,3 % Umsatzverlust durch Warteschlangen (5.000–15.000 AUD p.a. bei 5 Mio. AUD Jahresumsatz).

Fehlbuchungen und nicht erfasste Barumsätze

LOGIC: 0,1–0,4 % des Jahresumsatzes als dauerhafte, ungeklärte Kassendifferenzen; z. B. 5.000–20.000 AUD p.a. bei 5 Mio. AUD Umsatz.

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