What is Unmess?
Unmess introduces a smarter way to shop online. Acting as an intelligent shopping assistant, it allows users to describe the products they are looking for using everyday language instead of relying on traditional keyword filters. The platform's AI, named Tessa, processes these natural language requests to find suitable products tailored to the user's specific preferences and requirements.
Currently, Unmess aggregates product listings primarily from Amazon, with plans to integrate more online stores and marketplaces in the future. This approach aims to simplify the product discovery process, saving users time from endlessly scrolling through search results, comparing specifications, and reading numerous reviews. By consolidating options from various sources into one interface, Unmess strives to offer a convenient and streamlined shopping experience.
Currently, Unmess aggregates product listings primarily from Amazon, with plans to integrate more online stores and marketplaces in the future. This approach aims to simplify the product discovery process, saving users time from endlessly scrolling through search results, comparing specifications, and reading numerous reviews. By consolidating options from various sources into one interface, Unmess strives to offer a convenient and streamlined shopping experience.
Features
- AI Chat Interface: Describe desired products using natural language.
- Personalized Product Recommendations: AI (Tessa) finds products tailored to unique preferences.
- Multi-Store Browsing: Access products from various online stores (starting with Amazon) in one place.
- Filter-Free Searching: Avoids reliance on traditional keyword-based filters.
Use Cases
- Finding specific products without knowing exact keywords.
- Discovering products based on needs and preferences.
- Simplifying comparison shopping across different items.
- Saving time during online product searches.
- Getting personalized shopping recommendations.
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Unmess Uptime Monitor
Average Uptime
100%
Average Response Time
173.03 ms
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