Buying shoes is going to look very different, very soon. Two of the main drivers behind this transformation are likely to be machine learning (ML) and artificial intelligence (AI), cutting-edge technologies that are already disrupting industries all over the map. The footwear industry is no exception to this. Today, we’ll be taking a look at exactly how machine and deep learning is revolutionizing online footwear retail.
It’s an exciting time to be in footwear. With the global market predicted to hit $371.8 billion by 2020, if you have a shoe brand, you’re in a great position.
Getting your shoe size right, especially when you purchase footwear online, seems like a task that is impossible to get right.
Big data can help solve shoe sizing issues
What if all footwear brands joined forces in a global collaborative project to get the sizing inconsistencies resolved?
Your primary concern in online retail is to balance these two critical success factors: customer satisfaction and keeping return rates low.
Not all sizing tools provide the same results, as this comparison of 5 online sizing solutions shows. As each sizing technology brings different results to your e-commerce, shoe shoppers also adopt them differently.
With plenty of online shoe sizing solutions out there, each claiming to be the best option for your e-commerce, how does one choose?