DataFlash Cleaning fleece for board wipe
9 pieces in stock at third-party supplier
Product details
The DataFlash cleaning wipes DF1687 are a practical and effective tool for cleaning boards. These dry cloths made from high-quality fleece are specifically designed for removing marks and dirt from various surfaces. With a length of 145 mm and a width of 50 mm, they offer a convenient size that allows for easy handling. The wipes are lightweight and come in practical packaging that ensures easy storage and use. Ideal for use in schools, offices, or during presentations, these cleaning wipes provide a clear view and a clean working environment.
- Made from high-quality fleece for effective cleaning
- Convenient pack of 12 for long-term use
- Suitable for various surfaces, including whiteboards and chalkboards.
Items per sales unit | 12 x |
Scope of delivery | 12 |
Length | 0.15 m |
Width | 50 mm |
Colour | Grey |
Item number | 8529595 |
Manufacturer | DataFlash |
Category | Correcting |
Manufacturer no. | DF1687 |
Release date | 22.4.2018 |
Colour | Grey |
Exact colour description | Grey |
Material group | Fabric |
Material | Fleece |
Band width | 50 mm |
Tape length | 145 mm |
CO₂-Emission | |
Climate contribution |
Items per sales unit | 12 x |
Scope of delivery | 12 |
Length | 0.15 m |
Width | 50 mm |
Height | 14.50 cm |
Weight | 1.60 g |
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Warranty score
How often does a product of this brand in the «Correcting» category have a defect within the first 24 months?
Source: Digitec Galaxus- DataFlashNot enough data
- 1.Caran d'Ache0 %
- 1.Faber-Castell0 %
- 1.Läufer0 %
- 1.Pelikan0 %
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- DataFlashNot enough data
- BicNot enough data
- BrunnenNot enough data
- BüroLineNot enough data
- Caran d'AcheNot enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Correcting» category returned?
Source: Digitec Galaxus- DataFlashNot enough data
- 1.Brunnen0 %
- 1.BüroLine0 %
- 1.Depesche0 %
- 1.Derwent0 %