The product we’re proposing is an AI-powered application that helps IKEA customers find the perfect set of products based on their specific needs, lifestyle, budget, location, and ability to transport products. The application would use machine learning algorithms to analyse customer data and preferences, and provide customised recommendations for IKEA products that meet their unique requirements.

Features of the AI-based IKEA application might include:

• Personalised product recommendations: The application would analyse customer data and preferences to suggest products that are tailored to their needs, such as storage solutions for small spaces or eco-friendly options for environmentally conscious consumers.
• Budget tracking: Customers could set a budget for their IKEA purchases, and the application would track their spending to ensure they stay within their budget.
• Location-based recommendations: The application would use GPS data to provide recommendations based on the customer’s location, such as furniture that fits the dimensions of their home or outdoor products that are suitable for their climate.
• Transport options: Customers could indicate their ability to transport products, and the application would provide recommendations for items that can be easily transported or assembled.
• Augmented Reality (AR) integration: Customers could use AR to visualize how products would look in their home, allowing them to make more informed purchase decisions.
• Chatbot assistance: A chatbot could be integrated into the application to provide customers with real-time assistance and support throughout their shopping experience.
• Social media sharing: Customers could share their product selections on social media, allowing them to receive feedback from friends and family and help IKEA to expand its online reach.