🇮🇳India

Poor Inventory Planning और Stockout/Overstock Loss

3 verified sources

Definition

Bad purchasing decisions due to lack of visibility. Without POS-integrated inventory analytics, store managers cannot see: Which colors/brands are trending? Which paper types are seasonal? Manual forecasting = high error rate. Result: Overstock of slow movers (tying up ₹8-12L in inventory) + stockouts of bestsellers (lost ₹3-5L in sales).

Key Findings

  • Financial Impact: ₹6,00,000 - ₹12,00,000 annually (Overstock: 20-30% of ₹50L COGS tied up unnecessarily = ₹10-15L; carrying cost 15-20% p.a. = ₹1.5-3L; Stockout opportunity loss: 5-10% of potential ₹50L annual sales = ₹2.5-5L)
  • Frequency: Quarterly/Seasonal (inventory planning cycles)
  • Root Cause: POS systems lack integrated business analytics, sales forecasting, slow-moving item alerts, and seasonal trend analysis

Why This Matters

The Pitch: Indian art supply retailers waste ₹6-12 lakhs annually on overstock/dead inventory and stockouts. Real-time POS analytics with demand forecasting (as offered by Bonrix, Ari) optimizes inventory turns by 20-30%, freeing ₹4-8 lakhs in working capital.

Affected Stakeholders

Store Manager, Inventory Manager, Finance Manager

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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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