8th Jul 2026, 02:40 PM
Wakefit Somora Queen Size Non Storage Upholstered Bed
Price may vary by location, shipping cost, and availability.
Lowest in last 7 months
35% Off
₹37,049
₹56,999
Highest: ₹37,049
Average: ₹37,049
Lowest: ₹37,049
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of Wakefit Somora Queen Size Non Storage Upholstered Bed here. This product's current Price in India is ₹37,049. The average and highest prices are ₹37,049 and ₹37,049 respectively.
| Lowest Ever Price | ₹37,049 |
|---|---|
| 1st Dec 2025 | |
| Average Price | ₹37,049 |
| Based on 231 days price tracking | |
| Highest Price | ₹37,049 |
| 1st Dec 2025 | |
Price History of All Variants of Wakefit Somora Queen Size Non Storage Upholstered...
Current Price in India
| Price | ₹37,049 |
|---|---|
| MRP | ₹56,999 |
| Savings | ₹19,950 |
| Discount | 35.00% |
Product Information
Details
| Product Name | Wakefit Somora Queen Size Non Storage Upholstered Bed |
|---|---|
| Store Product Code | B0FSLZZW74 |
| Store Name | amazon.in |
| Brand | Wakefit |
| Rating | 10 / 10 |
| Category | Beds |
| Product Manufacturer | Umiya Emporium, 97-99, 2nd and 4th Floor, Adugodi, Tavarekere, Opp. Forum Mall, Hosur Road, Bengaluru, Karnataka, India, 560029. Ph. 9883333123, Wakefit Innovations Limited |
| Model Number | Somora - Non Storage - Brown |
| Size | 78" x 60" |
| Dimensions | 195L x 245W x 92H Centimeters |
| Country of Origin | India |
Features
- Product Dimensions: L 195 cms x W 245 cms x H 92 cms (76.77 x 96.45 x 36.22 Inches) | Product Weight: 105 kgs
- Frame material: Solid Wood
- CARE INSTRUCTIONS: Clean the surface with a dry cloth once a week.
- Support Material: Commercial Grade 18 MM Plywood | Headboard Material: 18 mm Plywood
Images
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Rating and Reviews
10 Based on 437 reviews
Wakefit Somora Queen Size Non Storage Upholstered has 10 rating out of 10. This average rating is consist of 437 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.