🇧🇷Brazil

Erro de Decisão de Compra por Falta de Visibilidade de Dados (Poor Purchasing Decisions Due to Data Gaps)

2 verified sources

Definition

Managers without data-driven tools cannot accurately identify which products are fast-moving, seasonal, or stalled. Source [2] states that 'Previsão de demanda com base em dados históricos' and local demand patterns optimize reordering. Manual intuition results in bloated inventory (excess carrying costs, storage risk) and missed sales opportunities.

Key Findings

  • Financial Impact: Estimated: 10–20% of annual inventory value tied up in excess slow-moving stock. Average pharmacy inventory: R$ 100,000–500,000. Excess working capital tied up: R$ 10,000–100,000+. Carrying cost (rent, shrinkage, deterioration): 15–25% annually = R$ 1,500–25,000 per pharmacy annually.
  • Frequency: Continuous (monthly purchasing decisions with poor visibility)
  • Root Cause: Absence of sales analytics dashboard; no historical data aggregation; no forecasting model; purchasing decisions based on supplier push rather than demand pull

Why This Matters

The Pitch: Brazilian pharmacies tie up 10–20% excess working capital in slow-moving inventory due to poor demand visibility. Automated analytics reduce over-purchasing and free up R$ 50,000–500,000+ in cash per multi-location chain.

Affected Stakeholders

Purchasing Manager, Pharmacy Owner, Regional Manager (chains)

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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:

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