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.
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 growth
That's the real ROI of a Commerce OS for a seller at this scale — not cheaper tools, but reclaimed founder time.
What would this cost to run on Mera?
This is a modeled case study — not a customer claim. Want to see the actual architecture, automation and cost for a ₹5 Cr multi-marketplace seller? Book a free Commerce OS assessment.
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