24th Oct 2026, 04:48 PM
GINNI Swipe Roll-For Spotless Shiny House & Kitchen Surface (50 Sheets in each roll) (1 Ply, 50 Sheets)
Price may vary by location, shipping cost, and availability.
Lowest ever
60% Off
₹405
₹1,000
Highest: ₹405
Average: ₹405
Lowest: ₹405
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of GINNI Swipe Roll-For Spotless Shiny House & Kitchen Surface (50 Sheets in each roll) (1 Ply, 50 Sheets) here. This product's current Price in India is ₹405. The average and highest prices are ₹405 and ₹405 respectively.
| Lowest Ever Price | ₹405 |
|---|---|
| 24th Oct 2026 | |
| Average Price | ₹405 |
| Based on 2 days price tracking | |
| Highest Price | ₹405 |
| 24th Oct 2026 | |
Price History of All Variants of GINNI Swipe Roll-For Spotless Shiny House ...
Current Price in India
| Price | ₹405 |
|---|---|
| MRP | ₹1,000 |
| Savings | ₹595 |
| Discount | 59.5% |
Product Information
Details
| Product Name | GINNI Swipe Roll-For Spotless Shiny House & Kitchen Surface (50 Sheets in each roll) (1 Ply, 50 Sheets) |
|---|---|
| Store Product Code | KNREWNC5GHHDJRHM |
| Store Name | flipkart.com |
| Brand | GINNI |
| Rating | 8.6 / 10 |
| Category | GINNI Kitchen Rolls |
| Model Name | Swipe Roll-For Spotless Shiny House & Kitchen Surface (50 Sheets in each roll) |
Features
- Sales Package: 4 kitchen roll
- Brand: GINNI
- Model Name: Swipe Roll-For Spotless Shiny House & Kitchen Surface (50 Sheets in each roll)
- Ply: 1
- Roll Length: 50 m
- Number of Rolls: 4
- Number of Sheets: 50
- Eco-Friendly: Yes
- Net Quantity: 4 Rolls
- Key Features: Multipurpose Cleaning Wipes, For rough and tough cleaning, Pre-cut wipes for easy single pulls, Washable up to 7-8 times, Hygeinic alternative to non-disposable cloths
Images
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Rating and Reviews
8.6 Based on 114 reviews
GINNI Swipe Roll-For Spotless Shiny House has 8.6 rating out of 10. This average rating is consist of 114 individual ratings. You can rate this product at product review page.
* Predictions is created on based of past prices and trends, it does not guarantee that it will happen. These are just prediction for theoretical information only.