The Reich also achieved an average accuracy within the promised range of 3 % when carried out carefully. In terms of handling and features, it is ahead in the comparison.
BERGER 22670 Truck scales
Product details
The 22670 vehicle scale from BERGER is a high-precision scale specifically designed for the accurate weight measurement of vehicles. With a maximum load capacity of 1.5 kilograms and an accuracy of 0.1 grams, it enables precise measurements that are essential for various applications, such as checking caravan weights. The scale is made of stainless steel, highlighting its durability and resilience. With a compact design measuring 10 cm in width, 15 cm in length, and only 2 cm in height, it is easy to transport and store. Battery operation allows for flexible use without the need for an external power source. This vehicle scale is therefore a practical solution for anyone who values accuracy and mobility.
Scale type | Precision Scale |
Load capacity | 1.50 kg |
Power supply | Battery operated |
Item number | 33966474 |
Manufacturer | BERGER |
Category | Precision scales |
Release date | 17/5/2023 |
Material group | Metal |
Material | Stainless steel |
Scale type | Precision Scale |
Load capacity | 1.50 kg |
Accuracy | 0.10 g |
Power supply | Battery operated |
Number of batteries | 2 |
Length | 15 cm |
Width | 10 cm |
Height | 2 cm |
Weight | 0.20 kg |
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Reviews & Ratings
Statutory warranty score
How often does a product of this brand in the «Precision scales» category have a defect within the first 24 months?
Source: Galaxus- BERGERNot enough data
- 1.Maul0 %
- 1.Voltcraft0 %
- 3.Genie0,2 %
- 4.Adler0,4 %
Statutory 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: Galaxus- BERGERNot enough data
- 1.Domo0 days
- 2.EVA2 days
- 3.Kern3 days
- AdlerNot enough data
Return rate
How often is a product of this brand in the «Precision scales» category returned?
Source: Galaxus- BERGERNot enough data
- 1.Chilitec0 %
- 2.Adler0,2 %
- 3.Maul0,6 %
- 4.Domo0,7 %
