Shoptelligence - Detailed Review
Fashion Tools
Shoptelligence - Product Overview
Shoptelligence Overview
Shoptelligence is an AI-driven platform that revolutionizes the shopping experience in the fashion and home furnishings sectors. Here’s a breakdown of its primary function, target audience, and key features:Primary Function
Shoptelligence’s main goal is to provide a personalized and engaging shopping experience for customers. It achieves this by using AI to create contextual, cross-category product combinations, such as outfits and room décor, that align with shoppers’ preferences and objectives. This approach helps shoppers discover coordinating items in a meaningful and visually appealing way, enhancing their overall shopping experience.Target Audience
The primary target audience for Shoptelligence includes retailers in the apparel and home furnishings industries. This encompasses both online and brick-and-mortar stores looking to enhance customer engagement, increase average order value (AOV), and boost revenue. Additionally, the platform benefits shoppers who seek a more personalized and inspiring shopping experience.Key Features
Interactive Ensembles
Shoptelligence’s AI-powered Interactive Ensembles technology creates dynamic, interactive rooms and outfits around each item in a retailer’s catalog. This allows shoppers to visualize how products can be used together, increasing product relevance and engagement.Personalized Recommendations
The platform uses machine learning to analyze shopper engagement and preferences, providing recommendations that go beyond traditional same-category suggestions. This ensures that shoppers receive style and objective-based recommendations that cater to their unique tastes.Omnichannel Experience
Shoptelligence integrates seamlessly across all shopping channels, including online and in-store experiences. It helps retailers recognize and engage shoppers consistently, whether they are browsing online or visiting a physical store. This ensures a cohesive and personalized experience across all touchpoints.Merchant Assist Module
For retailers, the Merchant Assist module enhances productivity in assortment planning while maintaining control over the brand. The system automatically accounts for inventory, preventing out-of-stock recommendations and ensuring that merchandising teams can engage customers more effectively.Sales Associate Tools
Shoptelligence equips sales associates with the tools they need to provide personalized assistance. This includes access to shoppers’ browsing history, dynamic product recommendations, and the ability to attribute sales accurately, even when customers buy online after visiting the store.Quick Implementation
The platform can be implemented quickly, often within weeks, using just the retailer’s product data feed and a few lines of code on their website. This rapid deployment helps retailers start seeing value and increased revenue quickly.Conclusion
By combining these features, Shoptelligence helps retailers deliver a customer-centric shopping experience, increase AOV by up to 66%, and enhance customer loyalty across all channels. Shoptelligence - User Interface and Experience
User Interface of Shoptelligence
The user interface of Shoptelligence, particularly in the fashion and home furnishings categories, is crafted to provide a seamless and engaging shopping experience. Here are some key aspects of its user interface and overall user experience:
Visual Inspiration and Interactive Ensembles
Shoptelligence’s AI-Powered Style Assistant presents users with visual inspiration through interactive rooms and outfits. This feature shows how products can be used in multiple contexts, helping shoppers see how items can be combined to achieve a desired look or setting. These ensembles are dynamic and allow for active personalization, making the shopping experience highly engaging and curated.
Ease of Use
The platform is easy to use, even for anonymous shoppers, as it does not require a login. The interface is intuitive, allowing users to easily explore and interact with the shoppable inspiration boards without any hassle. Implementation for retailers is also straightforward, requiring just a few lines of code to integrate the solution into their website.
Omnichannel Experience
Shoptelligence ensures a seamless omnichannel experience by integrating online and in-store shopping. The platform recognizes and supports shoppers across all touchpoints, whether they are browsing online or visiting a physical store. This consistency helps in providing a cohesive and personalized experience, making it easier for shoppers to find what they are looking for.
Personalized Recommendations
The AI technology continuously learns from shopper engagement, moving beyond traditional same-category recommendations. It provides style and objective-based suggestions, ensuring that the recommendations are highly relevant and personalized. This personal touch helps in keeping shoppers engaged and satisfied with their shopping experience.
Post-Visit Engagement
To keep shoppers engaged after their visit, Shoptelligence sends personalized and automated emails reminding them of the products they liked. This feature helps in maintaining a connection with the shopper and encourages them to make further purchases.
Sales Associate Support
In-store sales associates are empowered with tools that allow them to recognize shoppers upon arrival and provide insightful recommendations based on the shoppers’ preferences. This includes access to information about shoppers’ browsing history, making the in-store visit more personalized and productive.
Engagement and Feedback
The platform tracks and reveals granular shopper preferences, allowing retailers to tailor their interactions at scale. This feedback loop ensures that the shopping experience is continually improved, enhancing engagement and customer loyalty.
Overall, Shoptelligence’s user interface is designed to be user-friendly, visually engaging, and highly personalized, making it an effective tool for both shoppers and retailers. It enhances the shopping experience by providing relevant and contextual recommendations, thereby increasing engagement, average order value, and customer loyalty.
Shoptelligence - Key Features and Functionality
Shoptelligence Overview
Shoptelligence is an AI-powered design discovery platform that offers several key features and functionalities, particularly in the fashion and home furnishings sectors. Here are the main features and how they work:AI-Powered Style Assistant
Shoptelligence’s AI-Powered Style Assistant uses patent-pending technology to create interactive ensembles such as outfits and room décor. This system blends deep product knowledge, shopper preferences (both stated and learned), and style intelligence to dynamically generate contextual cross-category recommendations.Cross-Category Recommendations
The platform moves beyond traditional same-category recommendations by analyzing shopper engagement and learning from their interactions. It provides visual inspiration in the form of interactive rooms and outfits, showing how products can be used together in multiple ways. This approach helps shoppers discover coordinating items that meet their shopping objectives.Personalized and Interactive Merchandising
Shoptelligence offers personalized, interactive merchandising that reflects shoppers’ tastes across every channel. The platform creates a dynamic, curated shopping experience by allowing active shopper personalization. Each ensemble is interactive, enabling shoppers to explore different combinations of products that fit their style and objectives.Omnichannel Integration
The platform integrates seamlessly across various channels, including eCommerce, email, in-store solutions (like intelligent fitting rooms and sales associate tools), and emerging experiences such as augmented reality and chatbots. This ensures that shoppers receive a consistent and personalized experience regardless of how they interact with the retailer.Cross-Channel Customer Identification
Shoptelligence can identify customers across different channels, allowing retailers to build a comprehensive profile of their shoppers. This helps in providing a cohesive and personalized shopping experience, increasing customer loyalty and encouraging repeat purchases.Data and UI-Level Integration
The platform can integrate at both the data and UI levels, making it easy for retailers to implement. It requires only the retailer’s product data feed and a few lines of code on their website to go live and start generating value within weeks.Merchant Assist Module
Shoptelligence includes a Merchant Assist module that helps merchandising teams improve their productivity in assortment planning. The system automatically accounts for inventory, eliminating the risk of out-of-stock recommendations and allowing retailers to maintain control over their brand while engaging customers more effectively.Increased Average Order Value (AOV) and Revenue
The AI-Powered Style Assistant has been proven to increase the average order value (AOV) by 66% and boost retailer revenue. By providing relevant and visually appealing product combinations, the platform enhances shopper engagement, leading to higher transaction sizes and increased customer loyalty.Style Reasoning-Based Algorithms
Shoptelligence uses style reasoning-based algorithms to dynamically create ensembles that reflect shoppers’ preferences and shopping objectives. These algorithms continuously learn from shopper engagement, ensuring that the recommendations remain relevant and personalized.Conclusion
By integrating these features, Shoptelligence helps retailers create engaging shopping experiences, increase revenue, and build strong customer relationships across all channels. Shoptelligence - Performance and Accuracy
Evaluating Shoptelligence’s Performance and Accuracy
Evaluating the performance and accuracy of Shoptelligence in the fashion tools AI-driven product category involves looking at several key aspects of its functionality and impact.
Performance
Shoptelligence’s AI-Powered Style Assistant has demonstrated significant performance improvements for retailers. Here are some key points:
Increased Average Order Value (AOV)
The platform has been proven to increase AOV by 66% in initial deployments, which is a substantial boost for retailers.
Enhanced Shopper Engagement
Shoptelligence’s Interactive Ensembles technology increases shopper engagement, leading to a 6X increase in time spent on the site. This engagement also translates into a 33% increase in average order value and a 42% increase in average order size.
Personalized Shopping Experience
The AI module creates contextual, cross-category rooms and outfits based on deep product understanding and shopper preferences. This personalization helps shoppers discover coordinating items, which can significantly improve their shopping experience.
Accuracy
The accuracy of Shoptelligence’s recommendations and operations is supported by several features:
Data-Driven Insights
Shoptelligence uses machine learning to track and reveal granular shopper preferences. This ensures that the recommendations provided are highly relevant to the shoppers, reducing the risk of irrelevant suggestions.
Inventory Management
The system automatically accounts for inventory levels, eliminating the risk of out-of-stock recommendations. This ensures that shoppers are only shown products that are available, enhancing the accuracy of the shopping experience.
Continuous Learning
The AI continuously learns from shopper engagement, allowing it to refine its recommendations over time and maintain a high level of accuracy in understanding shopper preferences.
Limitations and Areas for Improvement
While Shoptelligence has shown impressive performance and accuracy, there are some areas that could be improved or present challenges:
Data Quality
One of the technical challenges faced by Shoptelligence was the relatively poor quality of the data. Improving data quality could further enhance the accuracy and reliability of the AI modules.
Complex Data Analysis
Analyzing large amounts of raw data and breaking down KPIs by multiple dimensions can be challenging. Addressing these challenges through better data management and analytics tools could improve the overall performance.
Client Reporting
To retain clients and attract new ones, Shoptelligence needed to provide clear and regular performance reports. Ensuring that these reports are comprehensive and easily understandable is crucial for maintaining client satisfaction.
In summary, Shoptelligence has demonstrated strong performance and accuracy in enhancing shopper engagement, increasing average order value, and providing personalized shopping experiences. However, there are areas such as data quality and complex data analysis that need ongoing attention to ensure the platform continues to deliver high-value results for retailers.
Shoptelligence - Pricing and Plans
Pricing Information for Shoptelligence
Overview
Based on the information available from the Shoptelligence website, there is no explicit detail provided about the pricing structure, different tiers, or any free options for their AI-driven product.
Focus Areas
The website emphasizes the benefits, features, and results that businesses can achieve by using Shoptelligence, such as increased revenue, enhanced customer experience, and improved conversion rates. However, it does not specify the pricing models or plans.
Contact for Pricing Details
To get accurate and detailed information about pricing, it would be best to contact Shoptelligence directly or schedule a demo as suggested on their website. This will allow you to receive personalized and up-to-date information regarding their pricing and plans.
Shoptelligence - Integration and Compatibility
Shoptelligence Integration Overview
Shoptelligence integrates seamlessly with a variety of tools and platforms, ensuring a comprehensive and cohesive shopping experience across multiple channels. Here are some key points on its integration and compatibility:
Omnichannel Integration
Shoptelligence offers an end-to-end omnichannel experience, integrating with various retail channels to support sales both online and in-store. The platform can seamlessly connect with your existing catalog and data feeds, ensuring a unified customer experience regardless of the channel they use.
Data and UI-Level Integration
The platform supports data or UI-level integration, allowing it to work with different systems such as Customer Data Platforms (CDP), Customer Relationship Management (CRM), Sales Associate Support, and Email Service Providers (ESP). This integration enables a holistic approach to customer interaction, combining data from multiple sources to deliver personalized experiences.
Cross-Channel Customer Identification
Shoptelligence can identify customers across every channel, ensuring that their preferences and shopping behavior are recognized and utilized consistently. This cross-channel identification helps in providing a personalized shopping experience, whether the customer is shopping online or in a physical store.
API Deployment
The AI-Powered Style Assistant by Shoptelligence can be deployed via API with just a few lines of code on the retailer’s website. This ease of deployment allows retailers to quickly integrate the platform into their existing systems without significant technical hurdles.
Compatibility with Existing Tools
Shoptelligence is compatible with a range of existing tools and platforms. For retailers who already have some components in place, Shoptelligence can provide the missing pieces through lightweight integrations. This flexibility makes it easy for retailers to enhance their existing platform with consumer profile capabilities and digital interactive experiences.
Device Compatibility
While the specific details on device compatibility are not extensively outlined, the platform’s ability to integrate with various retail channels and its web-based deployment suggest that it is accessible across different devices, including desktops, tablets, and mobile phones. This ensures that shoppers can engage with the personalized shopping experience regardless of the device they use.
Conclusion
In summary, Shoptelligence is engineered to be highly integrative and compatible with a wide range of tools, platforms, and devices, making it a versatile solution for retailers aiming to enhance their customer shopping experience.
Shoptelligence - Customer Support and Resources
Shoptelligence Overview
Shoptelligence offers a comprehensive suite of customer support options and additional resources to ensure retailers can maximize the benefits of their AI-driven fashion tools.Implementation and Onboarding
Shoptelligence makes the onboarding process straightforward and efficient. The platform can go live and create value in just a few weeks, requiring only the retailer’s product data feed and a few lines of code on their website.Ongoing Support
Once on board, retailers have access to ongoing support from professionals who provide expert assistance. The Shoptelligence team is dedicated to helping retailers deliver a personalized shopping experience, ensuring they get the most out of their marketing spend.Integrated Systems Support
Shoptelligence integrates with various existing systems such as Customer Data Platform (CDP), Customer Relationship Management (CRM), Sales Associate Support, and Email Service Provider (ESP). This integration ensures a seamless and cohesive shopping experience across multiple channels.Merchant Assist Module
The Merchant Assist module allows merchandising teams to maintain control over their brand while improving productivity in assortment planning. This module also automatically accounts for inventory, eliminating the risk of out-of-stock recommendations.Training and Resources
While specific details on training programs are not provided, the ease of implementation and the availability of ongoing support suggest that retailers receive the necessary guidance to effectively use the platform. The platform’s design is intended to be user-friendly and easy to deploy, which likely includes some form of training or support documentation.Customer Engagement Tools
Shoptelligence provides tools that enhance customer engagement, such as interactive ensembles and virtual closets. These features help shoppers discover new products and create favorite looks, all through a seamless customer-centric shopping experience.Performance Tracking and Analytics
The platform’s machine learning capabilities track and reveal granular shopper preferences, allowing retailers to analyze and improve their marketing strategies. This data helps in tailoring personalized, cross-category user interactions at scale, which directly impacts the bottom line for retailers.Conclusion
In summary, Shoptelligence offers a well-rounded support system that includes easy onboarding, ongoing professional support, integration with existing systems, and tools to enhance customer engagement and retailer productivity. Shoptelligence - Pros and Cons
Advantages of Shoptelligence
Personalized Shopping Experience
Shoptelligence offers an AI-powered Style Assistant that provides personalized shopping experiences by analyzing shoppers’ preferences and budget. This assistant creates contextual, cross-category product combinations, such as outfits and room décor, which help shoppers discover coordinating items and complete their looks. This personalization leads to higher conversion rates, larger orders, and increased revenue.
Increased Average Order Value (AOV)
The AI-Powered Style Assistant has been proven to increase AOV by 66%, enabling retailers to merchandise their entire catalog effectively and maximize every customer interaction across channels.
Omnichannel Integration
Shoptelligence integrates seamlessly across online and in-store channels, providing a cohesive shopping experience. It helps retailers recognize and care for shoppers regardless of where or when they engage with the business, enhancing customer loyalty and average ticket size.
Enhanced Sales Associate Effectiveness
The platform empowers sales associates with styling tools and access to shoppers’ browsing history, allowing them to provide personalized recommendations and guidance during store visits. This also includes features like post-visit emails to remind shoppers of products they liked, further personalizing the shopping experience.
Quick Implementation
Shoptelligence can be integrated into a retailer’s existing website with just the product data feed and a few lines of code, making it easy to get started and see results within weeks.
Data-Driven Insights
The platform tracks and reveals granular shopper preferences, enabling retailers to tailor personalized interactions at scale. It also accounts for inventory, eliminating the risk of out-of-stock recommendations.
Disadvantages of Shoptelligence
Initial Data Requirement
To fully utilize Shoptelligence, retailers need to provide their basic product data, which might require some initial setup and data preparation.
Dependence on Technology
The effectiveness of Shoptelligence relies on the accuracy and reliability of its AI and machine learning algorithms. Any technical issues or inaccuracies in the data could impact the quality of the personalized recommendations and overall shopping experience.
Integration with Existing Systems
While Shoptelligence offers flexible integration options, there might be challenges in integrating it with certain existing systems or components that retailers are already using. This could require additional technical support or adjustments.
Cost Consideration
Although Shoptelligence is described as affordable, the exact cost is not specified. Retailers would need to consider whether the investment aligns with their budget and expected return on investment (ROI).
In summary, Shoptelligence offers significant advantages in personalizing the shopping experience, increasing AOV, and enhancing sales associate effectiveness, but it also requires initial data setup, may have technological dependencies, and involves integration challenges and cost considerations.
Shoptelligence - Comparison with Competitors
Unique Features of Shoptelligence
- Shoptelligence’s AI-Powered Style Assistant is distinguished by its ability to create interactive, cross-category rooms and outfits. This technology combines stated and learned shopper preferences with deep product understanding to provide a holistic shopping experience.
- It enhances shopper engagement by offering visual inspiration through dynamic, interactive ensembles that show how products can be used in multiple contexts. This approach has been shown to increase average order value (AOV) by 66% in initial deployments.
- The platform includes a Merchant Assist module that improves assortment planning and automatically accounts for inventory, eliminating the risk of out-of-stock recommendations.
Alternatives and Competitors
Stylumia
- Stylumia focuses on predictive analytics and trend forecasting, analyzing consumer behavior and market trends to help fashion brands make informed decisions. While it provides valuable insights, it does not offer the same level of interactive, cross-category merchandising as Shoptelligence.
Vue.ai
- Vue.ai offers a comprehensive AI solution for fashion retailers, including visual search, personalized recommendations, and virtual styling. However, Vue.ai’s strengths lie more in individual product recommendations rather than the holistic, ensemble-based approach of Shoptelligence.
AI.Fashion
- AI.Fashion is a tool for fashion content creation, trend analysis, and predicting consumer preferences. It includes features like automated trend analysis, customizable design templates, and virtual try-on solutions. While it is powerful for content creation and trend forecasting, it does not provide the same level of interactive merchandising and cross-category styling as Shoptelligence.
Rebecca Minkoff
- Rebecca Minkoff uses AI for personalized styling recommendations and customer engagement through chatbots. This is more focused on individual customer interactions rather than the broader, ensemble-based merchandising offered by Shoptelligence.
Amazon Fashion
- Amazon Fashion leverages AI for personalized product recommendations and improving the overall shopping experience. However, Amazon’s approach is more focused on individual product recommendations rather than creating interactive, styled ensembles across categories.
Optitex
- Optitex is more focused on digital pattern making, virtual fitting, and automated grading and marker making. It is a valuable tool for fashion designers but does not offer the same kind of shopper engagement and merchandising solutions as Shoptelligence.
Conclusion
Shoptelligence stands out with its unique ability to create interactive, cross-category rooms and outfits, enhancing both shopper engagement and retailer revenue. While other platforms offer valuable AI-driven solutions in the fashion industry, such as trend forecasting, visual search, and virtual try-on, they do not replicate the holistic, ensemble-based merchandising approach that Shoptelligence provides. This makes Shoptelligence a compelling choice for retailers looking to enhance their customers’ shopping experience and increase average order value.
Shoptelligence - Frequently Asked Questions
Frequently Asked Questions about Shoptelligence
What is Shoptelligence?
Shoptelligence is an AI-powered style discovery platform that helps retailers enhance the shopping experience for their customers. It integrates style inspiration with shopping across all channels, using deep product understanding, shopper preferences, and style intelligence to create contextual, cross-category product combinations.How does Shoptelligence work?
Shoptelligence uses AI to dynamically create interactive ensembles such as rooms and outfits around each item in a retailer’s catalog. This technology analyzes shopper engagement and preferences to provide personalized, style-based recommendations that go beyond traditional same-category suggestions. It integrates with existing website data feeds and can be deployed with just a few lines of code.What benefits does Shoptelligence offer to shoppers?
Shoptelligence provides shoppers with visual inspiration through interactive rooms and outfits, showing how products can be used in multiple ways. This helps shoppers discover coordinating items that meet their shopping objectives, making the shopping experience more engaging and personalized. The platform continuously learns from shopper interactions to improve recommendations.What benefits does Shoptelligence offer to retailers?
For retailers, Shoptelligence increases average order value (AOV) by up to 66% and boosts revenue per buyer by over 33%. It enhances shopper engagement, increases site time by a factor of 6x, and improves conversion rates by 150%. The platform also helps merchandising teams with assortment planning and ensures that recommendations are always in stock, reducing the risk of out-of-stock items.How quickly can Shoptelligence be implemented?
Shoptelligence can be implemented quickly, typically within 30 days or less. It requires only the retailer’s basic product data feed and a few lines of code to integrate with the existing website.Does Shoptelligence support both online and in-store shopping experiences?
Yes, Shoptelligence bridges the gap between online and in-store shopping experiences. It creates a seamless transition between digital and physical retail, allowing retailers to engage and support shoppers across multiple touchpoints. This helps in increasing customer lifetime value and making shopping inspirational and enjoyable.Can Shoptelligence integrate with other retail systems?
Shoptelligence integrates with various retail systems, including Customer Data Platform (CDP), Customer Relationship Management (CRM), Sales Associate Support, and Email Service Provider (ESP). It offers flexible solutions that can be deployed via easy-to-deploy widgets, standardized APIs, and data feeds.What kind of results can retailers expect from using Shoptelligence?
Retailers can expect significant increases in outcomes such as a 5x increase in on-site engagement, a 42% increase in order size, and a 33% increase in revenue per buyer. Shoptelligence has also helped businesses more than double revenue per visitor and lift shopper time spent on site.Is Shoptelligence affordable for retailers?
Yes, Shoptelligence is described as affordable under-the-hood software. It is designed to be cost-effective and quickly integrated into a retailer’s existing website, helping them to make more money by improving the shopper experience.How does Shoptelligence handle inventory management?
Shoptelligence automatically accounts for inventory, eliminating the risk of out-of-stock recommendations. This ensures that all recommended products are available, enhancing the shopping experience and reducing potential frustrations for shoppers.Can Shoptelligence be used in different retail sectors?
While Shoptelligence has seen significant success in the home furnishings and apparel sectors, its AI-powered personalization platform can be adapted to other retail sectors as well. It is designed to be flexible and can integrate with various types of retail inventory. Shoptelligence - Conclusion and Recommendation
Final Assessment of Shoptelligence
Shoptelligence stands out as a formidable player in the AI-driven product category for fashion and retail, offering a suite of innovative solutions that significantly enhance the shopping experience and drive business growth.
Key Benefits and Features
- Personalized Shopping Experience: Shoptelligence uses AI-powered algorithms to create personalized, interactive merchandising that reflects customers’ unique tastes across all channels. This includes dynamic visual merchandising, styled product combinations, and inspirational shopping experiences that anticipate what shoppers are looking for.
- Omnichannel Integration: The platform seamlessly integrates across online, in-store, and email channels, ensuring a cohesive experience that maximizes customer lifetime value. This integration helps retailers engage customers more effectively, driving them from the website to the store and back again.
- Increased Average Order Value: Shoptelligence has been proven to increase average order value by up to 66%, with engaged buyers adding 42% more items to their orders. This is achieved through interactive rooms and outfits that suggest complementary products based on customer preferences.
- Enhanced Customer Engagement: The platform encourages shoppers to stay onsite longer, with a 6X increase in time on site from engaged shoppers. It also promotes word-of-mouth through features like Pinterest sharing and sends email leads to the store with items the shopper liked online.
- Sales Associate Empowerment: Shoptelligence empowers sales associates to provide personalized service, both virtually and in-store, by giving them access to customer insights that turn leads into purchases.
Who Would Benefit Most
Retailers in the fashion, furniture, and apparel industries would greatly benefit from using Shoptelligence. Here are some specific groups:
- E-commerce Retailers: Those looking to enhance their online shopping experience and increase average order value will find Shoptelligence’s AI-powered recommendations and interactive merchandising highly beneficial.
- Brick-and-Mortar Stores: Retailers with physical stores can use Shoptelligence to drive traffic from the website to the store and create a seamless omnichannel experience that keeps customers coming back.
- Sales Teams: Sales associates will appreciate the tools provided by Shoptelligence, which enable them to offer personalized service and design assistance at scale.
Overall Recommendation
Shoptelligence is highly recommended for retailers seeking to personalize their customer experience, increase average order value, and boost customer loyalty. The platform’s ease of integration, rapid deployment (with results seen in just weeks), and proven track record of increasing revenue make it an attractive solution for businesses aiming to grow their customer base and revenue.
In summary, Shoptelligence offers a comprehensive and effective way to engage customers, drive sales, and build long-term relationships, making it a valuable investment for retailers in the fashion and related industries.