INSTORE
Kiosk
This self-service mattress selection system can provide customers with more personalized service while reducing the workload of store staff. Such a system can help customers quickly find a mattress that meets their needs, and improve customers' shopping experience.
Objectives
01
Tailored
Tailoring experiences within the kiosk involves customized recommendations and adaptive interfaces. Personalized alerts and dynamic content based on user behavior enhance engagement. Implementing user-specific settings creates a tailored browsing experience, enhancing customer satisfaction and interaction.
Increasing Interactivity
Utilizing AI algorithms, the system offers tailored product suggestions based on customer preferences, improving the overall shopping experience. Boosts customer engagement and satisfaction.
Self-service
The self-service kiosk allows customers to independently compare all mattresses, aiding in finding the perfect fit without requiring sales assistance. This interactive tool streamlines decision-making and empowers customers to make informed choices autonomously.
Facilitating Quick Product Selection
The system accelerates product selection with filters, personalized recommendations, and comparisons. Customers swiftly narrow down options by size, firmness, and material preferences. Clear information, user-friendly interfaces, and streamlined checkout processes enhance efficiency for quick decision-making and purchases.
Improve Customer Experience
Intuitive design and clear categorization simplify product exploration, ensuring a seamless browsing experience for customers. Gathering and acting upon customer feedback fosters continuous improvement, tailoring the platform to meet evolving customer needs effectively.
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Key Features
02
Interactive Questionnaire
Customers answer personalized questions for tailored recommendations, optimizing their selection process.
Personalized Suggestions
The system generates custom mattress options based on user responses, enhancing the shopping experience.
Efficient Decision Making
Customers quickly identify mattresses that match their preferences, facilitating informed purchasing decisions.
Real-Time Feedback
Immediate responses offer transparency and guidance throughout the selection journey, ensuring a seamless experience.
Scalable Functionality
The system is designed for future expansion, enabling the integration of additional features like store locators and promotional messages to meet evolving customer needs.
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03
USER FLOW
The process or path that a user takes to accomplish a specific goal and easy to use on the app.
WIREFRAME
04
Next step, iteratively wireframing to determine the UI and UX of the application. This step also helped us work out the information architecture of each screen.
FINAL SCREEN
05
The concept is made up of four elements. Such as Quantum Entanglement, Wormholes and Parallel Universes and donate 8% for homelessness. When you pay more 4% will be donate to homeless and shop will do as well. It’s a total of 8%.
Onboarding and Intuitive Navigation
A clean visually appealing welcome screen with a CTA. Provide step-by-step navigation or a wizard-like flow to guide users through the selection process.
Interactive Mattress Selector
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Ask questions about the sleeping position
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Preferred firmness, size and price
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Any special needs (e.g., back pain, cooling technology)
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Use sliders, icon-based buttons, or visual cues for easy interaction
Top Recommendations
Minimalist layout and use large, tappable buttons and clean typography. Soft colors and textures mimic the look and feel of a cozy bedroom. Display 3 recommendations to avoid overwhelming the user.
Show each mattress in a card-style layout with thumbnail image, model and key features.
Supporting Features
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Mattress Details Page: When a user selects a mattress, open a detailed page or modal with full description of the mattress.
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Recommendation Confidence: Show why the mattress is recommended: Based on user preferences for firmness and technology.
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Use confidence scores or badges like "Best Seller" or "Cooling" etc.
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Testing Zone Integration: the kiosk is in a physical store. Guide users to the testing area.
Time Out
Serve as a gentle reminder for users who may take too long or get distracted during the process. It should be designed to nudge users without frustrating or overwhelming them. Automatic action resets the kiosk for the next user.
06
Questionnaire Development
The system excels in developing a personalized questionnaire that delves into various aspects of customers' sleep habits, preferences, and specific needs. This questionnaire is meticulously designed to capture essential data crucial for recommending the most suitable mattress options. By analyzing responses to questions related to sleep patterns, preferred sleeping positions, hours of sleep, and any existing sleep-related issues, the system gains a comprehensive understanding of each customer's unique sleep behaviors.
Results
Intelligent Recommendation System: The system can use smart algorithms and machine learning to analyze customer responses and mattress characteristics, generating personalized mattress recommendations.
Comparison Tool: The system can provide a mattress comparison feature, allowing customers to easily make decisions between different options.
Detailed Mattress Information: The system can display detailed information about each mattress, including dimensions, materials, firmness, etc., helping customers make informed choices.