In-Store Technology on E-Commerce Website (Enhancing Customer Experience)

    In-Store Technology on E-Commerce Website (Enhancing Customer Experience)

    Background 

    At The Expert Community, we pride ourselves on helping businesses navigate the world of retail and e-commerce. Our client’s Fashion Store, a popular brick-and-mortar fashion retailer, approached us with a major challenge, something regarding in-store technology.  

    They were struggling to bridge the gap between their in-store and online shopping experiences. The goal? To create a seamless, engaging experience for both in-store shoppers and their growing e-commerce customer base. 

    They had an ace in the hole, a loyal customer base that loved shopping in-store but the online experience wasn’t living up to the hype. Customers shopping on the e-commerce site were finding the digital experience a bit… lacking, to say the least. Something had to change. 

    That’s when they called in the experts. That’s us! 

    The Challenge 

    The fashion store had already invested in an e-commerce platform, but customers reported it felt disconnected from the in-store experience they had grown to love. People loved visiting their shops in person because of the personal attention, easy navigation, and tactile feel of the clothes. Online, however, it was just a bland, transactional website. 

    They wanted to use in-store technology to bridge this gap, utilizing it to enhance customer engagement online and offline. But how? They were stumped, and so were we… until we rolled up our sleeves and put on our thinking caps. 

    Our Approach 

    After diving deep into their in-store setup and analyzing their e-commerce stats, we identified several key opportunities where the two experiences could intersect. We worked closely with our client’s fashion store’s leadership and tech team to create a plan of action that would knock customers’ socks off in-store and online. 

    Here’s what we did with online and in-store technology ideas: 

    1. Virtual Try-On Technology 

    Customers love trying on clothes. They love the feel, the fit, and the excitement of seeing themselves in a killer outfit. But online shoppers were missing out on this magic.  

    So, we introduced Virtual Try-On Technology on the website, which let users get a 3D feel of the clothes—just like in-store!  

    We even connected the virtual try-on feature to the in-store experience, so customers could “save” their favorites and then try them on for real when they visited the store. 

    2. In-Store Kiosks Linked to Online Accounts 

    In-store kiosks are nothing new, but we gave them a facelift. By linking in-store kiosks to customers’ online accounts, we allowed customers to browse products they may have seen online, check for stock availability, and even get personalized recommendations based on their online browsing history. It was like online shopping, but in person—how cool is that? 

    3. Personalized Offers Using Customer Data 

    We all love a good deal, don’t we? Using customer data from online purchases and store visits, we helped fashion stores set up personalized in-store offers that pop up on customers’ phones as soon as they enter the store. Imagine walking into your favorite shop and instantly getting a notification for 20% off that jacket you had been eyeing online. Game-changer, right? 

    5. Augmented Reality (AR) Store Navigation 

    Let’s face it—finding your way around a big store can be a headache. To solve that, we integrated an AR navigation feature on the client’s shop mobile app, allowing customers to find their way to specific products they had viewed online.  

    Customers could use their smartphones to guide themselves to the exact aisle and rack in-store. No more wandering, wondering where that shirt is hiding. 

    The Results 

    The results were like night and day. Once we integrated all these in-store technologies and connected them with the online experience, the fashion store saw a 45% increase in e-commerce sales and a 30% boost in in-store traffic. And that’s not even the best part—customer satisfaction ratings skyrocketed across both platforms. 

    But don’t just take our word for it; here’s a quick snapshot of the impact: 

    • Average session duration on the website increased by 25%—customers loved playing with the virtual try-on feature. 
    • Cart abandonment rates dropped by 20%- due to connected kiosks, customers were more likely to complete their purchases, whether in-store or online. 
    • In-store visits from online shoppers rose by 40%—with personalized offers driving people into the physical store. 

    Wrapping it up! 

    At The Expert Community, we’re all about making retail dreams come true by merging cutting-edge in-store technology with good old-fashioned customer care. And the case of our client’s fashion store? It’s proof that in-store technology can transform the customer experience—not just in-store but online, too. 

    If you’re facing similar challenges in your business, hit us up! We’d love to help you cook up something special. Let’s make your online experiences as smooth as butter on toast! 

    Contact us now! 

    Evolving Fashion Industry With Augmented Reality & AI/ML

    Evolving Fashion Industry With Augmented Reality & AI/ML

    In the 21st century, technology-driven innovations like artificial intelligence (AI) or machine learning in the fashion industry are changing every aspect of this forward-looking business domain. Fashion brands, emerging designers and industry professionals can use the digital hub to interact with buyers, media, influencers and consumers from anywhere in the world through an engaging, multi-channel experience that includes chats, video conferences, bots, holograms and completely virtual spaces.

    The use of AI in the fashion industry has become so well entrenched that 44% of the fashion retailers who have not adopted AI are today facing bankruptcy. Supported by the easy availability of big data, customer personalization, and other services in fashion companies are simply no longer feasible without the use of AI in fashion.

    how-artificial-intelligence-is-fashion's-perfect-fit-002

    Source: https://www.chainofdemand.co/how-artificial-intelligence-is-fashions-perfect-fit/

    According to TEC, the leading 20% of the global fashion brands are generating 144% of the industry profits. Driven by this necessity, fashion brands are investing in AI and ML technologies to remain relevant in a highly competitive marketplace. 

    Accelerating Innovation and Growth

    If you aren’t using Artificial Intelligence (AI) to communicate with your customers, your company is already falling behind. The ever-increasing scale and granularity of personalization in online fashion retail are impossible to manage without the assistance of AI and related automated processes. Here are some of the ways in which these technologies are making an impact:

    AI- Enhanced Apparel Designing

    With more sophisticated data collection, we can help fashion brands to adopt technology to understand customer needs and design better apparel. TEC can power your company using AI-powered fashion designing that is based on the customer’s preferred colours, textures, and other style preferences.

    AI-Powered Visual Recognition

    Visual recognition is most often used on the detail pages of online stores, ensuring that customers will always find the right product. With Visual recognition we can assist online fashion retailers by providing a solution that recommends appropriate tags when adding new products to the store, saving time. Visual similarity can also be used with past products to help to purchase departments better understand the volume needed, minimizing overstock.

    Artificial Intelligence for Clothing and Apparel: Visual Recognition

    AI -Induced Trend Prediction & Manufacturing

    TEC can help Fashion brands using AI and ML tools to identify fast-changing fashion trends and supply the latest fashion accessories to retail shelves faster than the “traditional” fashion retailer.

    AI apparel and AI clothing styles: AI could be utilized to predict the next trend in fashion through monitoring social media and other data sources, learning from similar past behaviour and its results. AI-based approaches for demand projection, however, can reduce forecasting error by as much as 50%. 

    AI systems are being used to spot defects in fabric and ensure that the colours of the finished textile match with the originally designed colours. AI technologies such as computer vision technologies are allowing quality assurance processes to be more streamlined. 

    AR & VR Powered Virtual Merchandising

    AI-enabled technologies like augmented reality (AR) and virtual reality (VR) are now closing the gap between online and in-store shopping experiences. TEC can help develop in-store AR that allows shoppers to access any merchandise through intelligent mirrors, smart Bluetooth tags and digital media. Using VR technology we can assist fashion brands to create a virtual image of their pop-up retail store.

    AR Fitting Room Features

    AI Automation= Lesser Operational Costs

    TEC with its expertise in AI and ML technologies can enable fashion houses to automate repetitive or mundane tasks usually performed by human agents. Tasks like data entry and customer support can be handled now by AI, thus freeing human agents to focus on more strategic activities. 

    Return of sold items is a major bane for the entire fashion industry and can increase operational costs. AI-enabled personalization and product information, customers are more informed and are less likely to buy the wrong clothing item. This, in turn, does reduce returned products and also improves customer satisfaction.

    Adopting a data-driven approach is the way to go in this modern age. TEC harnesses AI and big data to make more accurate predictions. We help inform brands through product personalization and solutions in AI and machine learning technologies. AI isn’t a magic formula that can eliminate every pain point at the snap of a finger. For it to be truly effective, retailers and vendors should begin entering as much data into their systems as early as possible, and start immediately. Get Your Quote Now.