Context.
Using a third-party technology, this predicted accurate results in finding their true size. Having this tool helped customers find their true fitting but also boosted conversion and reduced returns rate.
Role
To brand the 3rd Party template into the Fashion Division’s own styling.
Project Duration
1 Week
Methods and Tools
Visual Design
Design challenge.
17.3% Returns are based on incorrect accuracy of sizing. Depending on the brand like Christian Dior versus Stella McCartney, they have size 12 but completely have different fittings.
Using a third party called Fit Analytics, will help reduce the number of returns and increase conversion.
The solution.
Harvey Nichols has a standard flow to focus on the main phases of
Discovery, Define, Ideation and Validation.
Making it visible to you.
Implementing your recommended size near the sizes allows customers reassurance when they are in doubt of their size or unsure about the brand size.
Getting the real you.
Based on Fit Analytics, the 3rd Party tools provide details to their customers, e.g. Measurements and body type. This helps to give the best results possible to help customers get the clothing that they deserve and wear proudly.
Knowing your brands.
Providing brands helps to determine the regular purchase of that brand. This helps to provide a detailed size where if the customer buys Stella McCartney the suggested purchase of a Chanel could be different.
Giving you suggestions.
Once filling out the survey, results are presented to the customer. This provides recommendations that will help the customer’s decision-making when selecting a size.
Key Takeaways
Within the first month of monitoring the use of Fit Analytics, this software reduced Returns based on incorrect sizing by 5% in a space of a month. Having Fit Analytics helps customers to regularly check their chosen size and be comfortable with it.
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