AiAi in Financial Data

E-commerce Inventory MIS: 7 Practical Checks to Stop Cash from Getting Stuck in Stock

3 Comments
E-Commerce

E-commerce Inventory MIS is not about counting stock.It is about understanding where your cash is sitting, why it is not moving, and what to do next.Many E-commerce businesses look profitable on dashboards, yet struggle with cash pressure.The reason is simple: inventory absorbs cash silently.Unless you track the right signals, stock becomes money that you cannot use.

Before we go into details, here is a quick overview of the seven inventory issues every E-commerce business should monitor.

 Quick Overview: Inventory Cash Leak Areas

This table helps you spot risk areas at a glance.Now let’s break each one down in a practical way.

1.Identify Slow-Moving Stock Early

Not all inventory is bad.
Only slow-moving inventory creates pressure.

If a product sells once in two months, the cash invested in it stays locked far longer than expected.

What to check in your MIS:

  • Units sold per SKU per month
  • Days since last sale
  • Contribution margin of slow sellers

Practical action:
Tag SKUs with low movement and plan price correction, bundling, or clearance before they become dead stock.

2.Compare Stock Levels with Sales Velocity

Buying inventory based on instinct is risky.
Buying based on sales velocity is disciplined.

Many businesses hold 90 days of stock while selling only 30 days’ worth.

What to check in your MIS:

  • Average daily sales per SKU
  • Current stock days (Stock ÷ Daily Sales)

Practical action:
Align purchase quantity with actual demand, not past assumptions.

3.Track Inventory Ageing Buckets

Inventory ageing shows how long your cash has been stuck.

Without ageing, all stock looks the same.
In reality, older stock is more dangerous than fresh stock.

Suggested ageing buckets:

  • 0–30 days
  • 31–60 days
  • 61–90 days
  • Above 90 days

Practical action:
Anything above 60–90 days should trigger a decision: push sales, revise price, or exit.

4.Watch How Returns Increase Inventory Load

Returns do not just reduce sales.
They increase inventory without bringing cash back.

Returned stock often:

  • Needs repackaging
  • Gets relisted late
  • Stays unsold longer

What to check in your MIS:

  • Return percentage by product
  • Returned stock lying unsold
  • Cost of reprocessing returns

Practical action:
Track return-adjusted inventory, not just purchase-based inventory.

5.Review Platform-Wise Stock Allocation

One common issue in E-commerce is stock imbalance across platforms.

You may have excess stock on one platform and stock-outs on another.

What to check in your MIS:

  • Platform-wise stock availability
  • Platform-wise sales velocity
  • Transfer delays and costs

Practical action:
Reallocate inventory based on platform performance, not equal distribution.

6.Monitor Stock-to-Sales Ratio

A growing business should not grow inventory faster than sales.

If inventory increases faster than revenue, cash stress follows.

What to check in your MIS:

  • Inventory value month-on-month
  • Sales growth vs inventory growth

Practical action:
Set a rule: inventory growth should never exceed sales growth without justification.

7.Identify Dead and Non-Saleable Stock

Dead stock is cash that may never return.

These include:

  • Obsolete products
  • Damaged or expired items
  • Unsellable returns

What to check in your MIS:

  • Stock with zero sales in 6 months
  • Physical vs system stock differences

Practical action:
Write off early, liquidate fast, and stop buying similar items again.

Conclusion

Inventory does not block cash suddenly.It blocks cash quietly, gradually, and repeatedly.

A strong E-commerce Inventory MIS helps you:

  • See where cash is stuck
  • Decide what to push or stop
  • Protect liquidity without borrowing

When inventory decisions become data-driven, cash flow automatically improves.

🔗 www.aiextensive.com

This article is only a knowledge-sharing initiative and is based on the Relevant Provisions as applicable and as per the information existing at the time of the preparation. In no event, Ai Extensive or the Author or any other persons be liable for any direct and indirect result from this Article or any inadvertent omission of the provisions, update, etc if any.
You might also like
Categories
Next Post
Product-Level Profitability in E-commerce: How to Decide What to Scale and What to Stop
Previous Post
Desire, Reward & the Entrepreneur’s Responsibility
Tags: Ai, Ai in Financial Data

More Similar Posts

3 Comments. Leave new

Leave a Reply

Your email address will not be published. Required fields are marked *

Fill out this field
Fill out this field
Please enter a valid email address.
You need to agree with the terms to proceed