Fly London RILY991FLY
36Product details
The Fly London women's RILY991FLY ankle boots in purple, size 36 EU (6 UK), offer a distinctive footwear option with meticulous craftsmanship. These leather boots, handmade in Portugal, are characterized by high-quality construction and durability. The contemporary design is suitable for winter wear, combining fashionable elements with practical comfort. The purple color makes them a versatile choice that can adapt to various outfits. As ankle boots, they provide protection and support while maintaining an elegant appearance. The high-quality finish reflects the manufacturer's commitment to artisanal quality. These boots are designed for wearers seeking reliable footwear that combines aesthetic appeal with functional performance. The RILY991FLY model exemplifies Fly London's approach to creating footwear that meets both style and comfort requirements without compromising on material quality or construction standards.
Exact colour description | Lilac |
Upper | Leather |
Material | Leather |
Target group | Women |
Item number | 62985875 |
Manufacturer | Fly London |
Category | Boots |
Release date | 14.10.2025 |
Colour | Violet |
Exact colour description | Lilac |
Upper | Leather |
Material | Leather |
Target group | Women |
Boot type | Ankle boots |
Shoe size (EU) | 36 |
Style | Casual |
Country of origin | Portugal |
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Reviews & Ratings
Warranty score
How often does a product of this brand in the «Boots» category have a defect within the first 24 months?
Source: Digitec Galaxus- Fly LondonNot enough data
- 1.Palladium0 %
- 1.Quechua0 %
- 1.Skechers0 %
- 4.Blundstone0.1 %
Warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Digitec Galaxus- Fly LondonNot enough data
- 1.Kamik0 days
- 1.Sorel0 days
- 3.Dr. Martens1 day
- 3.Ugg1 day
Return rate
How often is a product of this brand in the «Boots» category returned?
Source: Digitec Galaxus- Fly LondonNot enough data
- 1.Playshoes3.7 %
- 2.Cat12.4 %
- 3.Skechers16.9 %
- 4.Quechua17.7 %