Featuring: Product Data Scrape
In India’s competitive FMCG market, the same soap pack sells for different prices in Mumbai vs Kanpur. While one retailer runs a city-specific BOGO offer, another limits stock due to local demand shifts.
Pin Code-Level FMCG Pricing: Flipkart, Amazon & JioMart Insights reveal that in 2025, brands that thrive in this fragmented retail space are the ones that can track, compare, and react to pin code-level pricing and stock availability in real time.
This case study shows how a leading personal care brand partnered with Product Data Scrape to uncover price variations, map stock gaps, and optimize their regional promotional spends across Flipkart, Amazon India, and JioMart.
Challenge
The brand was managing 120+ FMCG SKUs across India. However:
- Their marketing teams had no visibility into real-time regional price differences
- They were spending uniformly on digital ads despite varying local offers
- Frequent stockouts in Tier-2/3 cities led to low conversion rates
- Offline distributors didn’t align pricing with online players
Objective
- Track hourly pricing and availability by PIN code
- Detect ongoing BOGO, cashback, coupon, and combo offers
- Map stock-outs or low availability zones
- Identify regions with pricing disparity to avoid cannibalization
- Auto-feed data into the brand's sales & trade marketing dashboards
Platforms Tracked
1. Amazon India
- Detect Prime-only deals and coupon codes by region
- Identify stock limits, shipping delays, and pincode restrictions
2. Flipkart
- Track SmartBuy and Assured SKUs
- Catch city-specific offers on Ekart-serviced areas
3. JioMart
- Region-based pricing controlled by warehousing clusters
- Zone-wise discount visibility (Mumbai, Pune, Surat, etc.)
Product Used: 3-Layer FMCG Intelligence Engine
| Layer |
Function |
| Layer 1: Real‑Time Scraping |
Track hourly prices, offers & stock by pin code |
| Layer 2: Data Normalization |
Unify prices, offers & MRP across platforms |
| Layer 3: Decision Engine |
Trigger alerts for price gaps or stockouts regionally |
Sample Data Snapshot (April 2025)
Product: 500ml Aloe Vera Face Wash
SKU Code: FW-A500
Cities Monitored: Mumbai, Lucknow, Hyderabad, Patna, Indore
| Platform |
Pin Code |
City |
Price (₹) |
Offer |
Availability |
| Amazon |
400001 |
Mumbai |
₹179 |
₹20 coupon |
Yes |
| Flipkart |
226001 |
Lucknow |
₹165 |
Combo (Buy 2 Save ₹30) |
Yes |
| JioMart |
500001 |
Hyderabad |
₹185 |
No |
Yes |
| Amazon |
800001 |
Patna |
₹199 |
No |
Only 2 Left |
| Flipkart |
452001 |
Indore |
₹169 |
₹10 Off |
In Stock |
Insights
- Patna had the highest price and lowest stock.
- Lucknow had the most attractive combo offer.
- Mumbai had a digital-only coupon running on Amazon.
Solution Architecture by Product Data Scrape
- Hourly scraping engine covering 8,000+ pin codes
- API delivery to trade and category management team dashboards
- Automatic flagging of:
- Price discrepancy > ₹10 across cities
- Stock < 5 units in Tier-1 SKUs
- Missed combo offers compared to competing platforms
Impact After 60 Days
| KPI |
Before PDS |
After PDS |
% Change |
| Price Mismatch Incidents |
35/month |
8/month |
↓ 77% |
| Promo ROI (Targeted Regions) |
1.4x |
2.1x |
↑ 50% |
| Distributor Alignment Score |
58% |
87% |
↑ 50% |
| Regional Stockouts |
28/month |
12/month |
↓ 57% |
Marketing Decisions Taken Using Data
Marketing Decisions Taken Using Data
- Flipkart’s combo offer drove 3.2x conversions
- Brand increased influencer spends & Google Ads in that region
Stock Rebalance for Patna
- SKU was trending at ₹199 with low stock
- Re-routed offline inventory to JioMart’s Patna DC (distribution center)
Mumbai Offer Harmonization
- Added a 20% cashback on Amazon to match Flipkart’s indirect combo advantage
Visual: Pin Code-Level Pricing Heatmap (Example Cities)
| Color |
Price Range (₹) |
| Green |
₹160 – ₹170 |
| Yellow |
₹171 – ₹185 |
| Red |
₹186+ |
Mumbai: Yellow
Lucknow: Green
Patna: Red
Use Case Extensions
Retailer-Level Visibility
Tracked seller names and offer attribution (e.g., Cloudtail vs RetailNet)
Cross-Category Monitoring
Covered 5 FMCG sub-segments:
- Personal Care
- Packaged Beverages
- Home Cleaning
- Baby Essentials
- Health & Wellness
SEO Keywords Included
- Flipkart price scraping by pin code
- Amazon FMCG pricing India
- JioMart product tracking
- Regional FMCG offer monitoring
- Pin code-based pricing insights
- FMCG stock mapping India
- Real-time eCommerce scraping India
About Product Data Scrape
Product Data Scrape is India’s leading provider of real-time eCommerce insights . From Amazon and Flipkart to JioMart and Blinkit, we help FMCG brands, aggregators, and marketing firms access granular pricing and stock intelligence by pin code, city, and category.
Final Words
In 2025, the future of FMCG pricing isn’t nationwide—it’s hyperlocal.
Pin code-level tracking enables brands to:
- Avoid missed opportunities from regional offer gaps
- Align online and offline pricing
- Win locally before the competition reacts nationally
Let Product Data Scrape help your team run smarter campaigns and execute inventory moves in sync with the Indian consumer map.
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