Case Study: A ₹5 Cr Multi-Marketplace Seller With 2,000 SKUs
A modeled case study of a 2,000-SKU multi-marketplace seller at ₹5 Cr GMV — the operational sprawl and how Mera would centralize it.
#marketplace#case study#modeled#SKUs
This is a modeled case study — an operating model built from how ₹5 Cr multi-marketplace sellers actually run.
The scenario
- Scale: ~2,000 SKUs across Amazon, Flipkart, Meesho
- GMV: ~₹5 Cr/yr
- Ops team: founder + 2–3 staff
- Current state: seller panels + Excel + a small warehouse
Where the day goes
| Activity | Time (est.) |
|---|---|
| Checking stock across 3 panels | 1–2 hrs |
| Listing/catalog updates | 2–3 hrs |
| Order → warehouse handoff | 2 hrs |
| Returns/RTO handling | 1–2 hrs |
| Reconciliation | 2 hrs (weekly) |
That’s ~8 hours a day of operations, leaving little for growth.
What Mera would automate
- Catalog sync — edit once, publish to all marketplaces
- Inventory — one ATP across channels + warehouse
- Orders — auto-picklist, auto-label, auto-dispatch status
- Returns — RTO reason tracking, auto-refund rules
- Reconciliation — per-marketplace P&L automatically
The operational shift
The founder goes from running operations to deciding what to grow:
Before: 8 hrs ops + 0 hrs strategy
After: 2 hrs ops (exception-only) + 6 hrs growthThat’s the real ROI of a Commerce OS for a seller at this scale — not cheaper tools, but reclaimed founder time.
Running this problem today?
See where time and margin leak in your stack — mapped onto Mera Commerce OS.