21st Sep 2026, 10:56 AM
ADBUCKS Baggy Jeans for Women || Women,s Loose Jean Pants || Oversized Jean's for Women's || Wide Leg Jean,s for Woman || Casual Jins for Woman's
Price may vary by location, shipping cost, and availability.
Lowest ever
50% Off
₹999
₹1,999
Highest: ₹999
Average: ₹999
Lowest: ₹999
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of ADBUCKS Baggy Jeans for Women || Women,s Loose Jean Pants || Oversized Jean's for Women's || Wide Leg Jean,s for Woman || Casual Jins for Woman's here. This product's current Price in India is ₹999. The average and highest prices are ₹999 and ₹999 respectively.
| Lowest Ever Price | ₹999 |
|---|---|
| 21st Sep 2026 | |
| Average Price | ₹999 |
| Based on 1 days price tracking | |
| Highest Price | ₹999 |
| 21st Sep 2026 | |
Price History of All Variants of ADBUCKS Baggy Jeans for Women Womens...
Current Price in India
| Price | ₹999 |
|---|---|
| MRP | ₹1,999 |
| Savings | ₹1,000 |
| Discount | 50.02% |
Product Information
Details
| Product Name | ADBUCKS Baggy Jeans for Women || Women,s Loose Jean Pants || Oversized Jean's for Women's || Wide Leg Jean,s for Woman || Casual Jins for Woman's |
|---|---|
| Store Product Code | B0FQW6LB7C |
| Store Name | amazon.in |
| Brand | ADBUCKS |
| Category | Jeans & Jeggings |
| Product Manufacturer | BUCKSB |
| Country of Origin | India |
Features
- Elegant Wide Leg Fit Flattering high-waisted wide leg design for a chic, vintage-inspired silhouette.
- Premium Non-Stretch Denim Durable, high-quality denim that maintains its shape and structure.
- Washed Blue Vintage Look Classic washed finish adds timeless appeal for versatile styling.
- All-Season Comfort Lightweight yet sturdy fabric suitable for spring, summer, fall, or winter wear.
- Secure Zipper Closure Easy-to-wear front zipper with a snug and reliable fit.
- Casual to Chic Styling Perfectly pairs with t-shirts, blouses, or jackets for both casual outings and semi-dressy looks.
Images
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* 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.