Free AuditEnterprise AIShelfSense
Dead Stock Detection

That shelf is quietly eating ₹3 lakhs a year

Dead stock doesn't announce itself. It sits there, looking like inventory, taking up space that could hold products that actually sell. By the time you notice, the expiry date has passed and the write-off is filed.

₹3.2L
Average annual dead stock loss
23%
Of SKUs are slow-movers
6-8 weeks
Earlier detection with ShelfLifePro
The True Cost

The math nobody does (until the auditor makes them)

That ₹200 product sitting on your shelf for 6 months doesn't cost ₹200. It costs:

Product cost₹200
Shelf space opportunity cost (₹3/month × 6 months)₹18
Capital locked (12% annual × 6 months)₹12
Disposal cost / write-off when it expires₹200
Total actual cost₹430

You paid ₹200. You lost ₹430. And that's one SKU. The average store has 150-300 slow-moving SKUs doing this simultaneously.

Shelf Space Cost

Every product occupies space that could hold something that sells. At an average shelf cost of ~₹3/month/product, 200 slow movers cost you ₹600/month in opportunity cost alone. That is ₹7,200/year — on products generating near-zero revenue.

₹3/mo
per product shelf cost

Capital Cost

Money in dead stock is money not buying products that sell. If you borrowed from your distributor at 12% annual, every ₹1 lakh in dead stock costs you ₹1,000/month in interest. Even if you paid cash, that capital has an opportunity cost — it could be earning 8-10% in a fixed deposit instead of depreciating on your shelf.

12%
annual capital cost

Disposal Cost

When products expire, you do not just lose the product cost — you lose double. The product itself (₹200) plus the cost of disposing it responsibly (time, labor, compliance documentation). Some categories like pharma have mandatory disposal processes that add another 10-15% in compliance cost.

₹200
becomes ₹0 + disposal
How Detection Works

Velocity-based detection, not arbitrary rules

Most inventory systems flag “dead stock” as “hasn't sold in 90 days.” That's a rear-view mirror. ShelfLifePro uses velocity analysis: it tracks the rolling sales rate of every product and detects deceleration. A product selling 10 units/week that drops to 2 units/week is flagged at week 3 — not week 13. The difference between those two timelines is the difference between a 15% markdown and a 100% write-off.

01

Velocity tracking

Every product gets a rolling 30-day sales velocity. The system knows what "normal" looks like for each item. Dettol sells 40 units/week in your store. Amul Butter sells 8. Both numbers are "healthy" — what matters is the trend, not the absolute.

02

Deceleration alerts

When velocity drops below 40% of the 90-day average, you get an alert. The product is slowing — not dead yet, but heading there. This is the window where you can still do something useful. After this window closes, your options shrink to "write it off" and "feel bad about it."

03

Action recommendations

Based on days to expiry and current velocity, the system recommends: markdown now, create a bundle, return to vendor, or hold. Seasonal products get different treatment — sunscreen in February is not dead stock, it is waiting for its moment.

Why It Matters

Prevention vs. discovery

Two stores, same problem, different timing. The math tells the story.

Finding dead stock

Reactive — quarterly audit

You discover 200 expired products during quarterly audit.

Write-off value₹1.2 lakh
RecoveryZero

Products are expired. Vendor won't take them. Customers won't buy them. The only option is the bin.

Preventing dead stock

Proactive — 6-8 weeks early

System alerts you to 200 decelerating products 6-8 weeks before expiry. Actions taken:

80 marked downrecovered 60% value
60 returned to vendorrecovered 85% value
40 bundled with fast moversrecovered 50% value
20 donatedtax benefit

Net recovery: ₹72,000 of that ₹1.2 lakh

Same 200 products. Same ₹1.2 lakh at risk. Recovery difference: ₹72,000

The only variable was timing — 6 weeks of lead time turns a write-off into a recovery.

Smart Actions

Four things you can do before stock dies

Each action has a different recovery rate. The system recommends the right one based on the math.

Smart Markdown

The system suggests an optimal discount based on days-to-expiry and current sales velocity. Deep enough to actually move the product, shallow enough to protect your margin. A product with 30 days left and declining velocity gets 15% off. A product with 7 days left and zero velocity gets 40% off. The math is specific to each SKU, not a blanket "put everything on 20% off" approach.

Auto-Bundle

Pairs slow movers with fast movers. "Buy the popular Himalaya Shampoo, get the slow-moving Himalaya Conditioner at 40% off." You move both products: the customer gets a deal, you recover margin on the slow mover, and the fast mover sells itself anyway. The system identifies which pairings make sense based on category affinity and purchase history.

Vendor Returns

If the product is within the return window, the system generates the return documentation automatically — batch numbers, quantities, purchase dates, invoice references. It tracks the claim status too. Because the hardest part of returning products to your distributor is not the decision — it is assembling the paperwork before the window closes.

Donate & Deduct

For items past the return window but before expiry. The system generates donation documentation for tax deduction purposes. Section 80G eligible donations are tracked with recipient details, item values, and dates. You lose the product, but you recover 30-35% of the value as tax benefit. Better than 0% from the bin.

FAQ

Frequently asked questions

The questions people ask once they stop pretending dead stock is not a problem

Dead stock is a prevention problem, not a discovery problem

Start your free trial. See which products in your store are decelerating — before they become write-offs.

14-day free trialNo credit card requiredVelocity tracking on Smart Retail+Free migration assistance