22nd Jul 2026, 05:44 AM
Amazon Brand - Vedaka Unpolished Little Millet | 1.5 Kg | Kutki /Samai /Same /Samulu /Chama (Pack of 3)
Price may vary by location, shipping cost, and availability.
Lowest ever
24% Off
₹798
₹1,050
Highest: ₹798
Average: ₹798
Lowest: ₹798
Price History Graph
Offer Price Prices
Lowest: -
Average: -
Highest: -
Price History Information
You can check the price history of Amazon Brand - Vedaka Unpolished Little Millet | 1.5 Kg | Kutki /Samai /Same /Samulu /Chama (Pack of 3) here. This product's current Price in India is ₹798. The average and highest prices are ₹798 and ₹798 respectively.
| Lowest Ever Price | ₹798 |
|---|---|
| 18th Jul 2026 | |
| Average Price | ₹798 |
| Based on 6 days price tracking | |
| Highest Price | ₹798 |
| 18th Jul 2026 | |
Price History of All Variants of Amazon Brand - Vedaka Unpolished Little Millet...
Current Price in India
| Price | ₹798 |
|---|---|
| MRP | ₹1,050 |
| Savings | ₹252 |
| Discount | 24% |
Product Information
Details
| Product Name | Amazon Brand - Vedaka Unpolished Little Millet | 1.5 Kg | Kutki /Samai /Same /Samulu /Chama (Pack of 3) |
|---|---|
| Store Product Code | B0H6GT516F |
| Store Name | amazon.in |
| Rating | 8 / 10 |
| Category | Bajra (Pearl Millet) |
Features
- The information below is per-pack only
- Packed with protein and fibre
- Millets are gluten-free with a low glycemic index
- It's rich in prebiotic dietary fibre that supports good bacteria in the digestive system
- It contains minerals such as magnesium with a low sugar content
- Can be used in porridge, baked goods, and soups
- Shelf life: 9 months
- Being heat-tolerant, climate-resistant, and requiring less water, millets are an environment-friendly choice
Images
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Rating and Reviews
8 Based on 546 reviews
Amazon Brand - Vedaka Unpolished Little Millet has 8 rating out of 10. This average rating is consist of 546 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.