{"id":5933,"date":"2022-04-07T03:58:51","date_gmt":"2022-04-07T03:58:51","guid":{"rendered":"https:\/\/dgbrew.com\/staging\/visenze\/?p=5933"},"modified":"2022-06-10T00:39:06","modified_gmt":"2022-06-10T00:39:06","slug":"online-eyewear-business-top-three-problems","status":"publish","type":"post","link":"https:\/\/dgbrew.com\/staging\/visenze\/blog\/2022\/04\/07\/online-eyewear-business-top-three-problems\/","title":{"rendered":"Top 3 Problems of Online Eyewear Retailers: How Visual AI Can Help"},"content":{"rendered":"\n

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If you’re in the market for a new pair of glasses, you know that there are seemingly endless online eyewear retailers to choose from. While this offers consumers unparalleled choice and convenience, navigating the options feels daunting. How do you know which retailer offers the best selection? What if you order a pair of glasses that don’t fit well?<\/p>\n\n\n\n

There’s no doubt that online eyewear businesses are on the rise. In 2020, more than 44% of adults who purchased eyeglasses used the internet <\/a>to assist in their acquisition of prescription eyeglasses, with 14% buying directly online throughout the year. These are double the numbers from 2017, and experts predict that this will continue to rise as customers enjoy the convenience of the online shopping experience. <\/p>\n\n\n\n

Despite this growth, eyewear ecommerce can expect dips in their sales if they don\u2019t optimize their cataloging system.<\/p>\n\n\n

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A study by the American Optometric Association reported that 44% of prescription eyewear ordered online was incorrect<\/a>. This comes from a range of problems\u2014from having the wrong lens treatment to the eyeglasses not fitting the wearer improperly. <\/p>\n\n\n\n

For an online eyewear business, this is a considerable revenue loss. They not only have to pay for the cost of replacing erroneous orders, but they also can’t resell returned items to make up for the loss. <\/p>\n\n\n\n

Compounding this situation is the high expectations that customers have for businesses. Up to 96% of customers will leave a brand after one bad experience. <\/a><\/p>\n\n\n\n

So, how can optical businesses improve their product catalog to deliver more accurate orders and drive better customer experiences?<\/p>\n\n\n\n

3 Solutions to Online Eyewear Product Catalog Issues that Hinders Sales<\/h2>\n\n\n\n

Eyewear has the unique quality of being a fashion item and a medical device. As such, cataloging is a nightmare for many ecommerce businesses. <\/p>\n\n\n\n

On top of classifying each product based on fashion categories, you also have to organize it according to eyewear specifications. In other words, you have to tag each eyewear based on brand and color, and the type of lens, coating, and frame. <\/p>\n\n\n\n

This means you have to do twice the work to optimize your catalogs. While this may seem like an impossible task when done manually, advanced technology now provides solutions to cataloging your eyewear products online.<\/p>\n\n\n\n

Read on to find the top solutions to the three main issues of online cataloging for eyewear products.<\/p>\n\n\n\n

1. Information overload<\/strong> <\/h3>\n\n\n
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Your customers don\u2019t shop for eyeglasses solely based on style and brand. They also shop based on frame size and fit, kind of lens, and coating type, among other things. <\/p>\n\n\n\n

While you can include all these details in your product\u2019s catalog, you might do more harm than good.<\/p>\n\n\n\n

According to studies, your customers don\u2019t even know what to look for in the first place<\/a>. This is because 47% of online eyeglasses shoppers don\u2019t have their prescription on hand when buying. Additionally, 90% don\u2019t know their pupillary distance. <\/p>\n\n\n\n

Adding more details to your catalog can hurt your customers’ experience by unnecessarily overwhelming them. Fortunately, you can solve this by leveraging visual search tools with Augmented Reality (AR) features.<\/p>\n\n\n\n

Visual search eliminates the complication of finding the right keywords in your customers\u2019 product search<\/a>. Your customers simply need to upload an image of the glasses they want, and your visual search will show your line of products similar to it. <\/p>\n\n\n\n

Moreover, more advanced visual search tools cross-sell and upsell relevant products to your customers. As a result, you improve product discoverability, boost sales, and increase overall revenue. <\/p>\n\n\n\n

Meanwhile, AR helps customers determine if a pair of glasses have the correct lens width, bridge width, and temple arm length by showing customers how the product will look on them. In doing so, your customer’s experience improves, and so does their trust in your brand.<\/p>\n\n\n\n

2. Time-to-market speed <\/strong><\/h3>\n\n\n\n

In this ecommerce world shaped by Amazon, the key to reigning at the top is releasing your products to the market ahead of your competitors. But you can\u2019t do this if your team is overwhelmed by the amount of data they have to encode for each product.<\/p>\n\n\n\n

On average, it takes 30-40 hours\/week to tag 200-300 products manually. This number can go down because eyeglasses have more detailed tagging requirements. You also have to account for the time it takes to double-check the data to avoid inaccuracies and inconsistencies. If you don\u2019t, you’ll have mislabelled products, and your customers will have a harder time finding the product they want. Thus, you\u2019ll have a higher customer churn rate, lower sales, lower customer loyalty, and lower revenue.<\/p>\n\n\n\n

However, automatic product tagging removes your team’s manual tagging load. It does this by leveraging artificial intelligence (AI) and machine learning (ML) to filter relevant keywords. Afterwhich, it implements these keywords to your product catalog, making tagging more accurate.<\/p>\n\n\n\n

It even takes tagging one step further by constantly updating your data with the latest categories and keywords as your customer\u2019s language evolves. As a result, you\u2019ll:<\/p>\n\n\n\n