28.5% Higher Revenue per Item with Marketplace Optimization
How an artisan-led handloom label improved profitability on Amazon by fixing catalog quality, pricing bands, and replenishment cadence—while keeping craftsmanship front and center.
Avg ₹ / Item (YoY)
Units / Order (YoY)
Ordered Product Sales
Marketplace Optimization Case Study: Summary
This marketplace optimization case study follows an artisan-led handloom label selling on Amazon. Netcloud Consulting rewrote catalog copy around craft keywords such as handloom, natural dye, Jamdani and Ikat, tested pricing bands and coupons, and aligned replenishment with loom cycles to stop out-of-stock weeks on winning SKUs.
- Average revenue per item: up 28.5% year on year (₹1,771.69 vs ₹1,378.55).
- Units per order: up 2.97% (1.04 vs 1.01).
- Approach: catalog QA, keyword operations, price bands, coupons and restock cadence.
See more AI automation case studies, or the services used here: product listing optimization and Amazon store optimization. Seller pricing and coupon tools are documented in Amazon Seller Central India.
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Challenges
- Traditional catalog language under-selling artisan value; limited keyword coverage for seasonal demand.
- Unoptimized variations (size/color) reducing conversion and discoverability.
- Lean ad budgets with fluctuating ACOS; out-of-stock weeks on winning SKUs.
What We Did
- AI-assisted copy for titles/bullets with craft keywords (handloom, natural dye, Jamdani, Ikat) + intent-based long tails.
- Pricing band tests & coupons calendar; tightened min-max to preserve margins.
- Replenishment rhythm aligned to loom cycles; low-stock alerts + safety stock buffers.