With everything going online, digital customer experiences are becoming more demanding. As the global retail automation market growing,* you can’t afford to get left behind. Modern retailers need creative and data-driven process optimization as part of a larger digital investment agenda to keep their sales growing and customer service outstanding. Store automation will assist retail businesses in moving towards the new era in fashion.
* Source: Allied Market Research
Traditional inventory management is performed by employees, who need days, even weeks to complete these manual tasks. Manual fashion product tagging, however, may be very unreliable. It's much more difficult for stores with complex inventory management systems, where manual processes can lead to many human errors. Automatic tagging, based on Artificial Intelligence and Machine Learning algorithms, can help you increase product availability and get an optimized retail environment by adding automation in retail.
Using sophisticated Artificial Intelligence algorithms, automatic tagging organizes and marks images in the product catalog based on their characteristics. These algorithms use Deep Learning to implement automation in the fashion tagging process, which eliminates the need for human intervention. This is a retail automation method for creating detailed metadata for catalog assets. It operates by scanning an image and detecting attributes that are linked to certain keywords.
The Machine Learning algorithms process the pixel content of graphics, such as photographs or videos, extract their features, and finds related objects during the automated retail tagging process. Pixyle’s automatic tagging engine has the power to reduce inventory management time by up to X%.
Implementing automation in retail stores can bring many advantages, greatly affecting the brand’s bottom line and improving overall customer satisfaction.
Thanks to advanced process automation, you can completely minimize the time-to-market of the products in your retail business. This is one of the most important benefits of retail automation, completely digitizing the entire product onboarding process. With this time saved, your employees will be able to focus on more important tasks, like marketing products, optimizing customer experiences, and more efficient inventory management, without having to hire new people to do all these tasks.
Process automation technologies can organize fashion items based on a variety of factors, including name, design, style, brand, color, season, and other characteristics. Backend product operations can be simplified and well-organized with accurate visual attributes. Retail stores can monitor orders, uncover the most searched brands, identify and remove items that aren't common, and keep stock under control by using product catalog pictures and precise product tags. Integrating store automation technology will help managers make smarter choices by giving them a better understanding of the items in their store.
Retail automation is based on the most sophisticated Artificial Intelligence and Machine Learning automation technology. These algorithms create an ever-evolving process automation system that learns from the images it processes. Over time, more tags will be added, and the product list will be updated to reflect current fashion trends. These marks can have a huge impact on buying decisions, leading to automated purchasing and more useful insights into attribute-level sales analytics.
Shoppers leave their shopping carts for a variety of reasons. Retail automation may aid e-commerce stores in reducing losses and provide shoppers with more accurate performance. Since shoppers will continue to see similar goods, they will be able to select new products and prolong their time on the website.
Thanks to the accurate and rich data within your catalog, automation in retail can provide your customers with accurate and specific product recommendations. Retail automation creates specific recommendations customers are more likely to buy, expanding their time on your e-commerce platform. These recommendations could appear everywhere within the customer journey, from landing pages to newsletters.
Thanks to automation in retail, customers will discover even more similar products they enjoy as they are browsing, adding them to their shopping carts and leaving with more items than they intended. If the shopper is shopping for an evening dress, for example, they will look for dresses with the tag "evening dress" If they're getting ready for a party, they will potentially be interested in high heels or an elegant bag. Retail automation creates countless options.
Store automation doesn’t only mean automated inventory management—it also means improved SEO for the entire e-commerce shop. Fashion tagging reorganizes the website's internal hierarchical linking structure, putting links in more strategic locations around the network. This is particularly helpful because Google's AI-based algorithm now recognizes and respects search background when rating results. Furthermore, dynamically created tags have keyword-friendly links to other parts of the website that visitors select, boosting the website's SEO.
Thanks to advanced process automation, you can completely minimize the time-to-market of the products in your retail business. This is one of the most important benefits of retail automation, completely digitizing the entire product onboarding process. With this time saved, your employees will be able to focus on more important tasks, like marketing products, optimizing customer experiences, and more efficient inventory management, without having to hire new people to do all these tasks.
Process automation technologies can organize fashion items based on a variety of factors, including name, design, style, brand, color, season, and other characteristics. Backend product operations can be simplified and well-organized with accurate visual attributes. Retail stores can monitor orders, uncover the most searched brands, identify and remove items that aren't common, and keep stock under control by using product catalog pictures and precise product tags. Integrating store automation technology will help managers make smarter choices by giving them a better understanding of the items in their store.
Retail automation is based on the most sophisticated Artificial Intelligence and Machine Learning automation technology. These algorithms create an ever-evolving process automation system that learns from the images it processes. Over time, more tags will be added, and the product list will be updated to reflect current fashion trends. These marks can have a huge impact on buying decisions, leading to automated purchasing and more useful insights into attribute-level sales analytics.
Shoppers leave their shopping carts for a variety of reasons. Retail automation may aid e-commerce stores in reducing losses and provide shoppers with more accurate performance. Since shoppers will continue to see similar goods, they will be able to select new products and prolong their time on the website.
Thanks to the accurate and rich data within your catalog, automation in retail can provide your customers with accurate and specific product recommendations. Retail automation creates specific recommendations customers are more likely to buy, expanding their time on your e-commerce platform. These recommendations could appear everywhere within the customer journey, from landing pages to newsletters.
Thanks to automation in retail, customers will discover even more similar products they enjoy as they are browsing, adding them to their shopping carts and leaving with more items than they intended. If the shopper is shopping for an evening dress, for example, they will look for dresses with the tag "evening dress" If they're getting ready for a party, they will potentially be interested in high heels or an elegant bag. Retail automation creates countless options.
Store automation doesn’t only mean automated inventory management—it also means improved SEO for the entire e-commerce shop. Fashion tagging reorganizes the website's internal hierarchical linking structure, putting links in more strategic locations around the network. This is particularly helpful because Google's AI-based algorithm now recognizes and respects search background when rating results. Furthermore, dynamically created tags have keyword-friendly links to other parts of the website that visitors select, boosting the website's SEO.
Retail automation allows users to find the products they want immediately because the product catalog contains accurate metadata.
Thanks to precise tags and recommendations provided by retail automation, customers get a customized experience based on their own preferences.
When the entire data is well-organized by retail automation technologies, visitors can easily navigate across the website and get to the end of the customer journey more quickly.
Pixyle’s AI-based retail automation toolkit gives you the power to create a seamless customer journey, smoothly taking your visitors from one step to another. Target your customer’s needs more specifically and address their preferences by integrating an intuitive engine into your online store. Pixyle’s state-of-the-art retail automation system allows you to concentrate on what matters most: finding opportunities for improvement or challenges to solve in order to rapidly grow your business.
Our retail automation suite includes visual search, similar recommendations, automatic tagging, and a completely customizable market intelligence and data visualization platform. Get a clean catalog, improve your SEO ranking, and increase your sales volumes, delivering an outstanding customer experience.
We provide image recognition solutions for fashion retailers, enabling them to improve efficiency in catalogue management, deliver a better online shopping experience and boost e-commerce sales.
