
ASOS Enki - Detailed Review
Shopping Tools

ASOS Enki - Product Overview
ASOS Enki Overview
Enki is an AI-driven shopping guide that has revolutionized the way customers interact with the ASOS platform. Here’s a breakdown of its primary function, target audience, and key features:Primary Function
Enki is designed to make product discovery and shopping as easy and intuitive as possible. It uses advanced technologies like natural language processing, visual AI, and machine learning to connect customers with relevant products quickly and accurately.Target Audience
Enki is primarily aimed at ASOS’s core demographic: fashion-conscious individuals in their 20s. These customers are early adopters of voice interactions and other digital shopping technologies.Key Features
Style Match Technology
One of Enki’s standout features is its “Style Match” technology, which allows users to search for items similar to ones they already like by uploading photos. This visual search capability makes it easier for customers to find products that match their style preferences without needing to describe them in words.Conversational Interface
Enki operates on both text and voice interfaces, available through platforms like Facebook Messenger and Google Assistant. Customers can interact with Enki using voice commands or text, and the chatbot responds with personalized recommendations and product suggestions.Personalization
Enki offers high levels of personalization by analyzing customers’ browsing and purchase history. It recommends items based on the user’s personal style, allows users to browse items from specific brands they love, and even sets a budget for recommended items.Controlled Chat
To avoid the pitfalls of free-form text interactions, Enki uses a decision-tree format, prompting users to select from predefined options. This approach keeps the conversation controlled and ensures a smoother user experience.Real-Time Support and Recommendations
Enki provides 24/7 customer support and real-time product recommendations. It can send users weekly edits of curated items, similar to an abandonment email, to keep them engaged and encourage further browsing.Voice Shopping
Enki integrates with Google Assistant, allowing customers to discover and shop the latest products using just their voice. This feature is particularly useful for staying on top of the thousands of new products introduced by ASOS each week. By combining these features, Enki enhances the shopping experience, making it more intuitive, personalized, and engaging for ASOS customers.
ASOS Enki - User Interface and Experience
User Interface of ASOS Enki
The user interface of ASOS Enki, the AI-driven chatbot, is designed to be intuitive and user-friendly, enhancing the shopping experience on the ASOS platform.
Interactive and Guided Experience
Enki operates primarily through a decision-tree format, which means users are presented with specific options to select from, rather than relying on free-form text input. This approach helps maintain control and avoids the frustrations that can arise from natural language processing limitations. Users can type in responses, but the bot will guide them back to the predefined options if they stray off course.
Visual Search and Style Match
One of the standout features of Enki is its “Style Match” technology, which allows users to upload photos of fashion items they like. The AI then analyzes the image to find similar products from ASOS’s extensive inventory. This visual search feature is highly interactive, enabling users to take further actions such as adding items to their shortlist or exploring other similar items with the “You Might Also Like” option.
Personalized Recommendations
Enki provides personalized recommendations based on the user’s browsing history, purchase behavior, and style preferences. This is similar to the “My Edit” feature on the ASOS app, which curates items based on individual user data. The more users interact with ASOS, the more accurate and relevant these recommendations become.
Seamless Integration
When using Enki on mobile through Facebook Messenger, users can view product pages in a pop-up window without leaving the chat interface. This allows for easy browsing, including swiping through photos and viewing videos, all within the chat environment.
Real-Time Context and Tone
Enki incorporates real-time context and a conversational tone that aligns with ASOS’s brand personality. For example, it might greet users with messages like “Happy Thursday,” adding a personal touch to the interaction.
Ease of Use
The interface is streamlined to make shopping easier and more efficient. By avoiding free-form text and focusing on guided interactions, Enki reduces the likelihood of confusion or frustration. The visual search and personalized recommendations features are particularly user-friendly, making it simple for customers to find products that match their style and preferences.
Overall User Experience
The overall user experience with Enki is highly engaging and personalized. It feels like having a personal shopper who actively searches for items on your behalf. The combination of interactive features, real-time context, and personalized recommendations creates a seamless and customized shopping experience that enhances user engagement and conversion rates.

ASOS Enki - Key Features and Functionality
ASOS’s AI-Driven Shopping Tools
ASOS’s Enki chatbot and other AI-driven shopping tools are revolutionizing the online shopping experience with several key features and functionalities.
AI-Powered Chatbot: Enki
Enki is an AI-driven chatbot that provides real-time customer support and personalized product recommendations. Here’s how it works:
- Visual Search: Users can upload images of items they like, and Enki scans ASOS’s inventory to find similar products, making it easier to discover styles that match their preferences.
- Style Match Technology: Enki uses this technology to suggest items similar to those the user has already liked or purchased. This feature encourages users to explore ASOS in a more interactive way.
- Personalized Recommendations: Enki recommends items based on the user’s personal style, derived from their browsing and purchase history. It also allows users to set a budget for recommended items and browse items from specific brands they love.
Fit Assistant
The Fit Assistant is an AI system aimed at helping customers find the right size of garments.
- Machine Learning: It uses machine learning to offer personalized size recommendations based on previous purchases, returns, height, weight, and fit preferences. This helps reduce returns by providing a more accurate fit prediction.
- User Input: Customers answer a series of questions, including height, weight, age, and preferred fit, to get size suggestions and see the percentage of other shoppers who purchased similar sizes.
Product Classification and Recommendations
ASOS employs various AI techniques for product classification and recommendations:
- Deep Neural Networks: Products are classified by attributes like color, style, and occasion, simplifying product discovery and allowing customers to filter through extensive ranges effortlessly.
- Collaborative Filtering & Session-Based Personalisation: The system identifies patterns in frequently purchased items and dynamically adjusts recommendations in real-time based on browsing behavior, ensuring relevant suggestions during each session.
- Hybrid Model for New Products: For new items without historical data, ASOS combines product attributes with customer interactions to recommend fresh styles.
Buy the Look (BTL)
This feature is an AI-powered cross-selling tool:
- Stylist-Curated Outfits: Trained on 600,000 stylist-curated outfits, BTL recommends complementary items to complete customers’ looks, enhancing the shopping experience and encouraging additional purchases.
Enhanced Personalization
- Brand Recommendations API: Powered by Azure Machine Learning, this API offers personalized brand suggestions based on customer browsing and purchase history, further enhancing the shopping experience.
- Your Edit: This feature shows products that ASOS thinks a customer might like, based on their previous interactions with the site.
User Interaction and Feedback
Enki is designed to be highly interactive and user-friendly:
- Decision-Tree Format: Instead of free-form text, Enki uses a decision-tree format where users select options, ensuring the chat remains controlled and avoids the frustrations associated with natural language processing.
- Feedback and Improvement: Enki continually asks for feedback on its recommendations and tips on how it can improve, making it a dynamic and improving tool over time.
These features collectively enhance customer engagement, provide personalized shopping experiences, and streamline the shopping process, making ASOS a leader in AI-driven e-commerce.

ASOS Enki - Performance and Accuracy
Evaluating the Performance and Accuracy of ASOS’s Enki Chatbot
Evaluating the performance and accuracy of ASOS’s Enki chatbot in the shopping tools AI-driven category reveals several key strengths and some areas for improvement.
Performance
Enki has been praised for its innovative approach to customer engagement. Here are some highlights:
Style Match Technology
Enki uses visual search capabilities, allowing users to upload images of items they like, and then finds similar products from ASOS’s extensive inventory. This feature, also available on the ASOS app, enhances the shopping experience by making it easier for customers to discover styles that match their preferences.
Personalization
The chatbot offers personalized recommendations based on users’ previous purchase and browsing behavior. It can suggest items from specific brands that users have interacted with before and even allow users to set a budget for the recommended items. This personalization is a significant improvement over generic recommendations.
Controlled Chat
Enki avoids free-form text to prevent misunderstandings and frustration. Instead, it uses a decision-tree format, where users select options or respond to specific questions, keeping the interaction controlled and user-friendly.
Engagement
The chatbot incorporates a conversational tone and real-time context, such as greetings, to make the interaction feel more natural and aligned with ASOS’s brand personality. It also sends weekly edits to users, encouraging them to return to the site.
Accuracy
The accuracy of Enki is supported by several AI-driven features:
Machine Learning Integration
ASOS uses machine learning to improve customer experience. For example, the “Profile Builder” feature groups products into clusters based on customer preferences, and the “Buy the Look” feature recommends complementary items to complete outfits. These features ensure that recommendations are accurate and relevant.
Fit Assistant
The Fit Assistant, another AI-powered tool, helps customers find the right clothing sizes by analyzing their height, weight, and fit preferences. This reduces the likelihood of incorrect sizes and subsequent returns.
Continuous Improvement
Enki is still learning and continually asks for feedback to improve its recommendations. This iterative approach ensures that the chatbot becomes more accurate over time.
Limitations and Areas for Improvement
While Enki has set a high bar for retail chatbots, there are some limitations:
User Interaction Required
To fully benefit from Enki’s personalization features, users need to regularly interact with ASOS. If users have only made a few purchases or browsed the site occasionally, there won’t be enough data for Enki to provide many personalized recommendations.
Feedback Loop
Although Enki’s continuous learning is a strength, it also means that the chatbot is not perfect at launch and may make some mistakes. However, this is mitigated by its ability to learn from user feedback.
Technical Limitations
While Enki avoids free-form text to maintain control, this can sometimes limit the flexibility of the interaction. Users who prefer typing their queries might find the structured format restrictive.
In summary, ASOS’s Enki chatbot performs well in terms of engagement and accuracy, leveraging advanced AI and machine learning features to provide personalized shopping experiences. However, it does require regular user interaction to maximize its benefits and may have some limitations in terms of user input flexibility.

ASOS Enki - Pricing and Plans
No Pricing Tiers
- There is no mention of different pricing tiers or plans for using ASOS Enki. The service appears to be offered as a free feature to enhance the shopping experience for ASOS customers.
Free Access
- Customers can interact with Enki through various platforms such as Facebook Messenger and Google Assistant without any additional cost. This includes features like Style Match, weekly edits, and recommendations based on personal style.
Features
- Enki offers several features, including visual search using photos, weekly curated items, recommendations based on personal style, and the ability to browse and purchase products across various categories. These features are accessible without any subscription or payment.
Summary
ASOS Enki is provided as a complimentary service to ASOS customers, with no associated pricing or subscription plans.

ASOS Enki - Integration and Compatibility
Integration and Compatibility
ASOS’s Enki chatbot demonstrates a notable level of integration and compatibility across various platforms and devices, making it a versatile tool for customers.
Social Media and Messaging Apps
Enki was initially launched on Facebook Messenger, allowing users to interact with the chatbot directly within the messaging app. This integration enables users to discover and shop for products using features like ‘Style Match’ technology, where users can send photos of items they like to find similar products on ASOS.
Voice Assistants
ASOS extended Enki’s capabilities to Google Assistant, enabling customers in the UK and US to interact with the chatbot using voice commands. Users can initiate a conversation by saying “Hey Google, Talk To ASOS” on their Google Home smart speaker or through the Google Assistant app on Android or iOS devices. This allows users to browse and shop the latest products across several top categories using either voice or text inputs.
Cross-Platform Consistency
Regardless of the platform, Enki offers consistent features such as ‘Style Match,’ ‘Your Edit’ (a weekly drop of curated items), and recommendations based on user preferences and browsing history. This ensures a cohesive user experience whether users are interacting via Facebook Messenger or Google Assistant.
Mobile Optimization
On mobile devices, Enki allows users to view product pages in pop-up windows without leaving the Messenger app, making it convenient to swipe through photos and view videos. This feature enhances the mobile shopping experience and keeps the interaction within the chat interface.
Continuous Improvement
ASOS emphasizes that Enki is still learning and improving. The chatbot solicits feedback from users to refine and enhance the experience, indicating a commitment to adapting Enki across different platforms based on user interactions and feedback.
Conclusion
In summary, Enki’s integration with Facebook Messenger and Google Assistant, along with its mobile optimization, makes it a highly compatible and user-friendly tool across various devices and platforms, enhancing the overall shopping experience for ASOS customers.

ASOS Enki - Customer Support and Resources
Customer Support Options at ASOS
ASOS offers a range of customer support options and additional resources, particularly through its AI-driven tools like ASOS Enki and other integrated technologies.Live Chat and Virtual Assistant
ASOS provides a Live Chat service that is available from 05:00 to 23:59 (CDT) every day of the week. You can access this service through the Help pages on the ASOS website, where a chat button will appear when a customer care team member is available. Before initiating the chat, logging into your ASOS account is recommended to personalize your experience.AI-Powered Chatbots – Enki
ASOS Enki is an AI-driven chatbot that offers real-time customer support and personalized product recommendations. Enki analyzes customer preferences and browsing history to provide relevant suggestions. It also features a visual search capability, allowing users to upload images of items they like, and then scans ASOS’s inventory to find similar products. This tool significantly enhances customer engagement and helps customers discover styles that match their preferences.Help Pages
For instant help 24/7, ASOS has comprehensive Help pages that cover a wide range of questions and topics. These pages are a quick resource for finding answers without needing to contact customer support directly.My Account
Logging into your ‘My Account’ section on the ASOS website provides quick access to updates on orders, tracking, and returns. This is often the fastest way to get help with these specific areas.Fit Assistant
The Fit Assistant is another AI tool that helps customers make informed purchasing decisions by suggesting the most appropriate size based on their height, weight, age, and preferred fit. It also provides feedback from other shoppers who have similar body types, reducing the likelihood of returns due to incorrect sizing.Product Recommendations and Personalization
ASOS uses various AI technologies to personalize product recommendations. For example, the system uses collaborative filtering and session-based personalization to adjust recommendations in real-time based on customer browsing behavior. Additionally, ASOS’s hybrid model combines product attributes with customer interactions to recommend new items without historical data.Conclusion
These resources and tools are designed to make the shopping experience with ASOS as smooth and supportive as possible, ensuring customers can find what they need quickly and efficiently.
ASOS Enki - Pros and Cons
Advantages of ASOS Enki
ASOS Enki, the AI-driven chatbot from ASOS, offers several significant advantages that enhance the shopping experience for users:
Personalized Recommendations
Enki uses advanced AI and machine learning to provide highly personalized recommendations. It can suggest items based on the user’s personal style, browsing history, and previous purchases. This is achieved through features like the ‘Style Match’ technology, which allows users to find items similar to those they already like by sending a photo.
Interactive Shopping Experience
Enki offers an interactive and engaging shopping experience. Users can search for items, add them to a shortlist, and view product pages in a pop-up window without leaving the chat interface. This makes the process more intuitive and user-friendly, especially on mobile devices.
Enhanced Personalisation
The chatbot can recommend items from specific brands that users have interacted with before and even set a budget for the recommended items. This personalization is driven by the user’s past behavior on the ASOS platform, making the recommendations more relevant and useful.
Controlled Chat Interface
Enki avoids free-form text input to prevent confusion and frustration. Instead, it uses a decision-tree format where users select options from a list, ensuring the conversation stays on track and remains helpful.
Continuous Improvement
Enki is continuously learning and improving. It asks for user feedback on its recommendations and tips for improvement, which helps in refining its suggestions over time. This approach encourages users to return and engage more with the chatbot.
Fit Assistant Integration
While not exclusively part of Enki, ASOS’s Fit Assistant, which uses AI to suggest sizes based on user inputs like height, weight, and preferred fit, complements the overall personalized shopping experience offered by Enki.
Disadvantages of ASOS Enki
Despite its advantages, there are some limitations and potential drawbacks to consider:
Dependence on User Interaction
To fully benefit from Enki’s personalization features, users need to regularly interact with ASOS. If users have only made a few purchases or browsed the site occasionally, the chatbot may not have enough data to provide meaningful recommendations.
Limited Natural Language Processing
Enki avoids free-form text to manage the limitations of current natural language processing technology. While this keeps the interaction controlled, it may limit the flexibility and spontaneity of the user’s experience.
Feedback Loop
While Enki’s continuous learning is a strength, it also means that the chatbot is still in the process of improving. Users may encounter some inconsistencies or less accurate recommendations as the system learns and adapts.
Technical Issues
As with any AI-driven system, there is a potential for technical issues or downtime, which could affect the user experience and trust in the chatbot.
In summary, ASOS Enki offers a highly personalized and interactive shopping experience, but it requires regular user interaction to be fully effective and may still face some technical and developmental challenges.

ASOS Enki - Comparison with Competitors
Unique Features of ASOS Enki
Voice Shopping Integration
Enki is accessible through Google Assistant and Google Home smart speakers, allowing customers to discover and shop products using voice commands. This is a significant advancement, especially given the growing use of voice technology in consumer lives.
Multi-Platform Availability
Enki was initially launched on Facebook Messenger and later expanded to Google Assistant, making it one of the first fashion retailers to leverage multiple conversational platforms.
Machine Learning Driven Recommendations
Enki uses machine learning to offer features like “Your Edit” (a weekly drop of curated items), recommended brands, and “Style Match” (a visual search app). These features help customers find products that match their preferences and previous purchases.
Real-Time Feedback and Improvement
ASOS plans to use customer feedback from the initial launch to refine and enhance the Enki experience, ensuring continuous improvement based on user interactions.
Potential Alternatives and Comparisons
Argos Voice Shopping
Argos also launched voice shopping through Google Home, but it is limited to reserving and ordering products from a portion of their catalogue. Unlike Enki, Argos’s service does not offer the same level of product discovery and recommendation features.
Ocado Voice Shopping
Ocado integrated voice shopping with Amazon Alexa, allowing customers to add or remove items from their shopping lists and track orders. However, this is more focused on grocery shopping and does not include the fashion-focused features of Enki.
Other AI-Driven Shopping Tools
Fit Assistant by ASOS
While not a direct competitor, ASOS’s Fit Assistant is another AI-driven tool that helps customers find their fashion fit before ordering. It uses machine learning to provide personalized size recommendations, which complements the Enki experience but serves a different purpose.
Engagement and User Experience
Personalization and Discovery
Enki’s ability to help customers discover new products through conversational commerce sets it apart. Features like “Your Edit” and “Style Match” make it easier for customers to find relevant products, enhancing their shopping experience.
Global Reach and Accessibility
ASOS’s global reach, with shipping to over 200 countries, combined with Enki’s accessibility on multiple platforms, makes it a highly accessible and user-friendly shopping tool.
In summary, ASOS Enki stands out with its comprehensive integration of voice shopping, multi-platform availability, and machine learning-driven recommendations. While other retailers like Argos and Ocado have also ventured into voice shopping, they do not offer the same level of product discovery and personalization as Enki.

ASOS Enki - Frequently Asked Questions
What is ASOS Enki?
ASOS Enki is a shopping assistant developed by ASOS, aimed at helping customers discover and shop for products more efficiently. It uses AI and machine learning to provide personalized recommendations and assist with various shopping tasks.
How does Enki use Style Match technology?
Enki features a “Style Match” technology that allows users to search for items similar to ones they already like. Users can upload a photo of an item, and Enki will suggest similar products available on ASOS. This feature is also available on the ASOS app as a visual search option.
How does Enki provide personalized recommendations?
Enki uses machine learning to offer personalized recommendations based on the user’s previous purchases and browsing behavior. It includes features like “Your Edit,” which provides a weekly drop of curated items, and recommendations from specific brands that the user has interacted with before.
Can I use Enki for voice shopping?
Yes, Enki supports voice shopping through Google Assistant. Customers in the UK and US can start a conversation with Enki by saying “Hey Google, talk to ASOS” on their Google Home smart speaker or Google Assistant app on Android or iOS devices. This allows users to find and shop products using voice commands.
How does the chat interface work with Enki?
Enki uses a decision-tree format to keep the conversation controlled and avoid the issues associated with free-form text input. Users are mostly asked to select options rather than typing in responses, which helps maintain a smooth and user-friendly experience.
Does Enki offer any fit assistance?
While Enki itself does not directly offer fit assistance, ASOS has a separate feature called the “Fit Assistant” that uses AI to suggest sizes based on users’ previous purchases, height, weight, and other body measurements. This feature helps users make more informed purchasing decisions regarding the fit of clothing.
How does Enki help with budgeting?
Enki allows users to set a budget for the items it recommends. This feature helps users stay within their spending limits while still discovering relevant and appealing products.
Is Enki still learning and improving?
Yes, Enki is continuously learning and improving. ASOS collects feedback from users to refine and enhance the shopping experience. Enki often asks for feedback on its recommendations and tips on how it can improve, which helps in making the bot more effective over time.
Can I save items for later with Enki?
Enki includes a “shortlist” feature that allows users to save their favorite items. This acts as a handy reminder for items that users are considering purchasing, making it easier to return to them later.
How does Enki integrate with social media?
Enki was initially launched on Facebook Messenger in the UK to help customers discover relevant products. It offers features like weekly curated items and visual search, making it easier for users to engage with ASOS through social media channels.
Will using Enki increase my chances of making a purchase?
While it’s hard to say if Enki directly increases conversions, it certainly acts as a valuable step in the purchasing process. Features like weekly edits and the ability to save favorite items can tempt users back into browsing and potentially lead to more purchases.
