🇮🇳India

Asset Utilization Blindness & Procurement Overspend

3 verified sources

Definition

Manual asset tracking prevents data-driven procurement: (1) No visibility into asset age/condition → buying new instead of repairing; (2) Spreadsheet-based asset lists become stale → departments purchase assets already in inventory; (3) No utilization metrics → idle equipment not redeployed; (4) Lease/contract renewal dates missed → emergency rush orders at premium rates.

Key Findings

  • Financial Impact: ₹100,000–₹500,000 annually (20–40% waste in procurement budgets); typical duplicate purchase loss ₹50,000–₹150,000/year; lease optimization savings ₹30,000–₹80,000/year if executed
  • Frequency: Quarterly procurement cycles; Annual budget planning; Monthly asset disposals
  • Root Cause: Lack of centralized, real-time asset data; Manual spreadsheet updates lag reality; No integration between asset registry and procurement systems

Why This Matters

The Pitch: Indian offices waste ₹100,000–₹500,000 annually due to blind asset decisions—duplicate purchases, failed lease optimization, and wrong allocation. Real-time asset visibility eliminates redundant spend.

Affected Stakeholders

Procurement Manager, Finance Controller, Office Manager, Department Heads, CFO/Finance VP

Deep Analysis (Premium)

Financial Impact

Financial data and detailed analysis available with full access. Unlock to see exact figures, evidence sources, and actionable insights.

Unlock to reveal

Current Workarounds

Financial data and detailed analysis available with full access. Unlock to see exact figures, evidence sources, and actionable insights.

Unlock to reveal

Get Solutions for This Problem

Full report with actionable solutions

$99$39
  • Solutions for this specific pain
  • Solutions for all 15 industry pains
  • Where to find first clients
  • Pricing & launch costs
Get Solutions Report

Methodology & Sources

Data collected via OSINT from regulatory filings, industry audits, and verified case studies.

Evidence Sources:

Related Business Risks

Request Deep Analysis

🇮🇳 Be first to access this market's intelligence