Poor Inventory Planning और Stockout/Overstock Loss
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
Deep Analysis (Premium)
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
Inventory Shrinkage और Till Discrepancies में Theft Loss
GST ITC Matching और Manual Invoice Reconciliation में Revenue Loss
Manual GST Filing और Tax Compliance का Excessive Overhead Cost
Manual Inventory Tracking और Queue Bottleneck में Sales Loss
Slow Checkout और Poor Loyalty Program में Customer Churn
मौसमी मांग में बिक्री हानि
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