While the size chart has been around for ages and has provided a good representation of the ideal foot based on foot length to fit inside a shoe -it has several limitations by definition.

All size charts work on the assumption that size is only based on length of foot, for example -size 9 would house an ideal foot with length 272 mm. The shoe labeled as size 9 would  fit a person having a foot from  a length of +/- 4 mm above or below the ideal measurement.  However – this  can change based on several factors – flexibility of the material, width of the shoe, difference in manufacturing, differences in base gradation etc.

Also, very few customers know their foot measurement accurately- so most people pick based on historic purchase data ( E.g: I generally buy size 9, so that should work) and hope it holds. In almost 40 % of the cases this results in a return, especially if you are buying a particular style and brand for the first time. 

How does our system work?

Also studying returns is challenging for any retailer as the reported reason may not be the real reason for the product return. But based on several pilots we have understood a good portion of the sizing issues can be attributed to the size labeling not being accurate.

That’s where Find Me A shoe’s size normalization service can play a key role. We scan the internal cavity of a few samples for each brand and determine their true size. Our scanning also takes into consideration various factors such as material, construction, usage, toe-box shape etc. Our scanning process can be done in several ways to achieve a optimal balance between accuracy and scalability. Based on this we assign a True size which is benchmarked to an established size standard.

What is the output of our  Service?

Our recommendation can be implemented in any style a retailer chooses. We provide the True Size Api which provides information about the length and width. Sample implementations are shown below:

Return reduction track record

Our  Size certification has the potential to bring down your returns by at least 80 % if used effectively . We can do this without affecting the user flow or collecting any additional information from the user.  

In the past our system has studied and applied True size certification for 5000+ styles, 60 brands. Around 35% of them are found to have sizing issues (more than 1/2 size deviation)

These size deviations caused anywhere between 20-60% returns

Our True size prediction could correlate to 80% of customer return feedback. Returns have reduced from 5% to 35% across brands & styles

Competitors

While other services offer similar recommendation services- they don’t actually measure the inside of the shoes – they are based on cluster data from past purchases which have the inherent shortcomings of a size scale. These systems cannot bring returns down beyond 3 % . We can help you  save substantially on returns and increase your top line as well.  

Help your customers make a better choice. Do gives us shout out at [email protected]