3D foot scanning technology is revolutionizing the footwear industry. Gone are the days of huffing and puffing while trying on multiple pairs of ill-fitting shoes or stepping on clunky measurement devices. The entire shopping experience has needed to be faster, better and more fun. Scanning shoppers' feet also enables new possibilities for online sales channels. Most retailers have limited knowledge about 3D scanning technology, therefore the task of vetting what’s out there can be daunting. There has been a sharp uptick in new foot scanning products being introduced to the market, and very often advantages and disadvantages of new products are unclear. What to pay attention to? Which technology works best? What questions to ask, to separate the great from the average?
Our guide for choosing the right technology.
User experience is key to retail. The ideal experience should be one-click and effortless. If shoe shoppers and sales associates don’t engage and the experience isn’t enjoyable, no amount of accuracy or data savviness is going to help.
To evaluate the shopper experience of the scanning process, you should examine the following parameters:
You want to make sure that the foot measurement results are accurate so that your sales associates will trust the technology they’ll be using every day. It’s easy to make bold claims about the accuracy, anyone can do it. It’s harder to back it up with actual material, scientific papers, or other proof points.
Here is what you should be looking at:
Making claims about accuracy is easy, many tech partners flaunt wild numbers. A 0.1mm accuracy is highly suspicious and unattainable, and it’s a red flag for other claims a potential tech partner may make. Request detailed explanations of what exactly the accuracy claims mean and how they were obtained! Dig deep and ask for written detailed reports. The larger the number of feet used in the accuracy evaluation, the more you can trust the accuracy figures.
Some vendors claim that their technology captures a 3D shape of the foot, but only experts in computer vision and 3D scanning can tell how accurately the cameras and computational methods being used in a solution really capture 3D shapes. If you don’t have in-house knowledge in these fields, find help from an external consultant to get a technical assessment of the solution you want to use in your retail channels. This is important especially if you’re looking at solutions that use mobile phone cameras.
Equally important is an analytics dashboard that is delivered to your inbox. Metrics such as the average number of scans per day per store, the number of online scanners and so on, are vital to run a smooth operation in-store and online. Store managers need support from HQ. You should think of the following parameters when choosing any technology for your stores:
Automated analytics are available and easy to set up on day one. Ask the tech partner what kind of analytics capabilities are available to them. If it’s not already in place - then don't go further.
Make sure every sales associate gets proper training before they start using the scanning technology.
Sales associates shouldn’t be dealing with any hardware or software issues, but sometimes things can go wrong. Ask the tech partner about their support team, how fast they solve issues and how satisfied their other retailers are with their support.
In today’s world, even cars get software updates whenever it is needed. An agile tech partner should respond to any issues or feedback quickly.
Ask the tech partner how frequently they deploy new updates. If it is non-existent or if they are less frequent than once a month, or it's complicated, then that is a red flag and they are probably not a reliable tech partner.
It is important that the solution continuously adapts to the feedback of sales associates and shoppers. Is the recommendations model based on live data streams, like scans connected to purchases, or does the software simply use notoriously inaccurate data like brands' size charts as their basis for size recommendations?
Make sure that frequent software updates are automatically installed without any involvement of sales associates. Ask how they do it with their other customers. And always check in with those references before you take anyone's word for it!
Shoppers these days shop everywhere and expect a great experience in all channels. That is why the 3D data and insights gathered in the store should be available through your e-commerce sites. Whatever solution you pick needs to have a product offering to support online sales and loyalty programs, as well as strong integration possibilities with your CRM and other digital platforms.
Make sure the data collected in-store can be used online in an easy, non-convoluted way. Working with one partner on all fronts is the ideal setup since bringing another company to the mix could complicate things and take even more time. Ask the tech partner what they can offer in terms of omnichannel and what they are capable of delivering across all channels.
Mobile is the new desktop. Mobile foot scanning is even more so. Ask the tech partner what concrete products they’re working on beyond their scanner, does it sound vague? Perhaps they don’t really have any.
Last but not least, remember that products are made by people and those people need a vision and a skill set that is worthy of your team and your customers. You want to work with a tech partner that is agile and ambitious and continues to offer new solutions based on new technologies. The best FitTech companies to work with are going to be those that are led by true "techies" and are dedicated to one thing. Beware of players who do fit technology as a "side hustle" to feed other parts of their business. Due diligence here is key.
Ales Jurca has been applying 3D foot scanning technology to the footwear industry since 1999. He used 3 different medical laser foot scanners in his early research, and he managed developments of 4 generations of retail foot scanners. Ales is the VP Footwear Research at Volumental.
Alper Aydemir is an entrepreneur with a background in robotics and computer vision. After a PhD in robotics, he has worked at NASA JPL and Google's Project Tango, aiming to bring computer vision to the masses. Alper is a co-founder and the CEO at Volumental.