The intelligence hub for retail operators, category managers, and buying teams.
Built for retail operators, category managers and business owners.
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Professional-grade formulas with Indian retail benchmarks. Select your category, enter your numbers, get an instant directional reading.
Coming to the toolkit
All calculator outputs are directional and for reference purposes only. Educational and informational content.
Want to discuss what your numbers mean? Discuss your inventory situation directly.
Start a Conversation →Reference ranges calibrated for Indian retail. Use these alongside your calculator results to understand where you stand.
| Metric | Healthy ✓ | Watch ⚠ | Risk ✗ | Notes |
|---|
Numbers in the Watch or Risk range? Start a conversation — no agenda required.
Start a Conversation →GMROI at 1.2×. Tail SKU concentration at 42% of range. Three consecutive seasons of residual build-up.
Inventory turns at 2.1×. 38% of SKUs generating 4% of revenue. Working capital effectively frozen.
Size-run depth review, tail clearance cadence, intake pause triggers by store.
₹14L exposure in handsets aged beyond warranty cycle. New-gen launches arrived while old-gen stock remained.
Days-on-hand 180+ for 22% of SKUs. GMROI 0.9× on aged segment. No tech-generation tracking in place.
Tech-generation mapping, age-based reorder gates, vendor return clause activation.
60% of network profit from 2 stores. Remaining 10 stores showing negative GMROI while receiving uniform buying.
Network GMROI masked store-level distress. Two profitable stores were subsidising ten underperformers.
Store-level OTB segmentation, format-appropriate range width, buying model by store tier.
Overstock and stock-outs coexisting across the same network simultaneously. Centralised buying, no store-cluster differentiation.
Sell-through variance of 60 percentage points between top and bottom store quartile. Allocation model not adjusted for velocity differences.
Cluster-based allocation, inter-store transfer triggers, velocity-adjusted OTB by store tier.
Near-expiry exposure at 18% of ambient category value. National benchmark applied without adjusting for local market velocity.
Category turn rate 40% below benchmark. Cover at 22 weeks vs an 8-week category benchmark. Vendor replenishment not recalibrated.
Localised cover targets, promo clearance calendar, vendor return clause review, category-level turn analysis.
Recognise your situation in one of these scenarios? Start a conversation.
Start a Conversation →A practical executive-level inventory review. If you cannot answer these questions quickly, there is usually hidden working capital, margin leakage, or availability risk somewhere in the business.
Which SKUs consume the most inventory value but contribute the least sales and margin?
Measure inventory in 0–90, 90–180 and 180+ day buckets and identify action owners.
Identify the top 20% of SKUs driving the majority of sales, margin and inventory productivity.
Separate forecasting issues from replenishment, allocation and buying issues.
Compare weeks of cover, turns and sell-through by location instead of network averages.
Track whether inventory investment is generating stronger gross margin returns over time.
Review poor-performing SKUs and challenge repeat purchases before the next intake cycle.
Every audit should end with clear actions: liquidate, transfer, promote, reduce or invest.
Use these questions as a monthly inventory review agenda with your buying, merchandising and operations teams.
Discuss Your Inventory →I created ASP as a practical resource for retail operators, category managers, merchandisers and business owners looking to make better inventory decisions through benchmarks, frameworks and structured analysis.
The benchmarks, frameworks, calculators, and scenarios on this site are built on 12+ years of experience across inventory management, retail analytics, buying and planning, and multi-store operations in large-scale retail environments.
Occasional articles, frameworks, benchmarks and inventory insights.
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