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Inventory Carrying Costs: Why Excess Stock is a Liability

30 October 2025

by Edgistify Team

Inventory Carrying Costs: Why Excess Stock is a Liability

Inventory Carrying Costs: Why Excess Stock is a Liability

  • Excess inventory spikes storage, insurance, and obsolescence costs, squeezing margins.
  • In India, tier‑2/3 markets and COD/RTO dynamics amplify carrying cost pressures.
  • Data‑centric logistics platforms (EdgeOS, Dark Store Mesh, NDR Management) cut waste and unlock ROI.

Introduction

In the fast‑moving world of Indian e‑commerce, brands dream of quick deliveries, especially in tier‑2 cities like Guwahati and Bangalore. Yet, beneath the surface, a silent enemy roams warehouses: excess stock. With cash‑on‑delivery (COD) still dominating payment preferences and return‑to‑origin (RTO) incidents spiking during festive seasons, holding more inventory than needed becomes a financial liability rather than a safety net.

The Hidden Cost of Excess Stock

Carrying Cost ComponentTypical % of Unit CostImpact on Profit Margins
Storage rent & utilities10–15%Reduces cash flow, limits new procurement
Insurance & security2–4%Increases overhead, especially for high‑value goods
Obsolescence & shrinkage5–10%Losses due to trend changes, damage, or theft
Opportunity cost3–6%Funds locked in inventory could be used for growth

Key Insight: In the Indian context, the opportunity cost is often overlooked. Each rupee tied up in excess stock is a rupee that cannot finance marketing, technology upgrades, or new product launches.

Quantifying Carrying Costs in India

Formula: `Carrying Cost per Unit = (Storage + Insurance + Shrinkage + Opportunity) × Unit Cost`

  • Unit cost of a smartphone : ₹25,000
  • Storage : 12% → ₹3,000
  • Insurance : 3% → ₹750
  • Shrinkage : 5% → ₹1,250
  • Opportunity : 4% → ₹1,000

Total Carrying Cost: ₹6,000 per unit → 24% of the selling price.

If an online retailer holds 10,000 units in excess, the annual carrying cost exceeds ₹60 cr, eroding profitability.

Problem‑Solution Matrix

ProblemRoot CauseData‑Driven SolutionExpected Benefit
High storage utilizationInaccurate demand forecastingEdgeOS predictive analytics15–20% reduction in inventory levels
Frequent RTOs in tier‑2 citiesLack of localized fulfillmentDark Store Mesh deployment30% lower RTO rates
Inefficient returns processingManual NDR handlingNDR Management automation25% faster return turnaround
Overstock of seasonal SKUsStatic procurement rulesDynamic replenishment algorithms10–12% lower obsolescence

Data‑Driven Inventory Turnover

  • 1. Demand Sensing – Real‑time sales data from platforms (Amazon, Flipkart) feeds into EdgeOS, predicting demand shifts within 24 hours.
  • 2. Just‑In‑Time (JIT) Replenishment – EdgeOS triggers orders to suppliers when stock hits the reorder point, synchronized with supplier lead times.
  • 3. Dark Store Mesh – A network of micro‑warehouses in city peripheries reduces last‑mile cost and supports quicker fulfillment, especially for COD‑heavy orders.
  • 4. NDR Management – Automated return sorting and restocking ensures returned goods re-enter the supply chain within 48 hours, minimizing holding time.

Edgistify Integration: A Strategic Recommendation

  • EdgeOS : Deploy the EdgeOS platform at the warehouse level to harness machine‑learning demand forecasting, ensuring inventory aligns with actual sales velocity.
  • Dark Store Mesh : Leverage the Dark Store Mesh to bring inventory closer to consumers in tier‑2/3 cities, thereby cutting storage costs and improving COD satisfaction.
  • NDR Management : Implement NDR Management to automate returns handling, reducing the average time a product spends in inventory post-return.

These tools are not sales pitches but strategic levers that transform excess stock from a liability into an asset, fueling growth and resilience.

Conclusion

Excess inventory is not just a space‑consumption problem; it is a multi‑faceted cost driver that erodes margins, hampers agility, and strains cash flow. In India’s dynamic e‑commerce landscape, where COD, RTO, and festive buying spikes dominate, a data‑centric approach to inventory is not optional—it is essential. By integrating EdgeOS, Dark Store Mesh, and NDR Management, brands can trim carrying costs, accelerate turnover, and redirect capital toward innovation and market expansion.