Confidential Multi-Marketplace Retailer
D2C E-commerce · Amazon & Flipkart
[Add Client 2 name, or "Confidential D2C Brand #2"]
[Add industry, e.g. Beauty & Personal Care · Nykaa & Myntra]
PrimeRetail US
E-commerce & Marketplace
SAMPLE
Illustrative SMB Model — Amazon & Walmart Marketplace
D2C E-commerce · Amazon & Walmart Marketplace
PrimeRetail Europe
E-commerce & Marketplace
No clients match that filter.
Confidential Multi-Marketplace Retailer
D2C E-commerce · Amazon & Flipkart
Challenge
The brand was selling across Amazon (US & India) and Flipkart but running the business on manually downloaded CSVs — over 10 hours a week of copy-paste work — with no single view of profitability across marketplaces, so leadership decisions were always working from stale numbers.
Approach
We stood up a Dockerized data pipeline with automated marketplace API pulls every 6 hours, built currency and timezone normalization plus SKU matching in Python, and connected it all to a live executive dashboard so every marketplace reports into one P&L instead of three disconnected spreadsheets.
Results
- Manual CSV downloads eliminated entirely across both marketplaces
- Combined Amazon and Flipkart revenue grew 37.8% year-over-year to ₹138.85 Cr in 2025, on 17.9% less ad spend than 2024
- Blended ROAS rose from 6.06x (2024) to 10.18x (2025) once the unified view let the team reallocate spend faster
[Add Client 2 name, or "Confidential D2C Brand #2"]
[Add industry, e.g. Beauty & Personal Care · Nykaa & Myntra]
Challenge
[2-3 sentences: what problem did this client have before iAdsClick — write uniquely for this client, don't copy Client 1's story]
Approach
[What iAdsClick actually built/did for this client]
Results
- [e.g. Revenue +__% YoY]
- [e.g. ROAS improved from __x to __x]
PrimeRetail US
E-commerce & Marketplace
Challenge
Managing vast inventory catalogs across Amazon US, Walmart, and Shopify with disconnected pricing engines, leading to frequent stockouts and margin erosion.
Approach
Deployed an automated, cross-marketplace synchronization pipeline that dynamically adjusts pricing based on real-time competitor data and stock levels across all platforms.
Results
- Eliminated 95% of stockouts on high-velocity items by Q2 2026
- Increased overall margin by 14% through dynamic algorithmic pricing
- Unified dashboard reduced weekly operational reporting time by 15 hours
Illustrative SMB Model — Amazon & Walmart Marketplace
D2C E-commerce · Amazon & Walmart Marketplace
Challenge
A small-to-medium US e-commerce brand selling on Amazon and Walmart Marketplace was running both channels off manually exported weekly CSVs, with no unified view of profitability across the two — budget calls always lagged the actual numbers.
Approach
Built the same automated, real-time multi-marketplace pipeline used on our other e-commerce engagements — API-based ingestion from Amazon Seller Central and Walmart Marketplace every 6 hours, unified into one live P&L dashboard.
Results
- Grew from a $220K/month baseline to $295K/month (+32%) while keeping ad spend nearly flat
- Blended ROAS improved from 3.6x to 4.3x across Amazon and Walmart Marketplace combined
- Eliminated 8+ hours/week of manual CSV work, saving 400+ hours a year
PrimeRetail Europe
E-commerce & Marketplace
Challenge
Managing vast inventory catalogs across Amazon Europe, Walmart, and Shopify with disconnected pricing engines, leading to frequent stockouts and margin erosion.
Approach
Deployed an automated, cross-marketplace synchronization pipeline that dynamically adjusts pricing based on real-time competitor data and stock levels across all platforms.
Results
- Eliminated 95% of stockouts on high-velocity items by Q2 2026
- Increased overall margin by 14% through dynamic algorithmic pricing
- Unified dashboard reduced weekly operational reporting time by 15 hours