Big Pot utilizes a recommendation algorithm to curate art selections based on individual preferences, categorizing options by price and type. This approach helps users discover artworks that align with their tastes, enhancing their purchasing experience in a fragmented art market.
Funding
Funding not disclosed
Founders
Product
Problem
The art market is fragmented, making it difficult for individuals to discover artworks that align with their personal preferences and budget. Existing online art platforms often lack personalized recommendations, leading to a frustrating and inefficient purchasing experience.
Solution
Big Pot employs a recommendation engine to personalize art discovery, matching users with artworks based on their individual tastes and preferences. The platform categorizes art selections by price and type, enabling users to easily filter and explore options within their desired parameters. By curating relevant art pieces, Big Pot streamlines the art-buying process and connects artists with potential buyers who appreciate their work.
Target Audience
Big Pot targets individual art enthusiasts and collectors who are looking for a more personalized and efficient way to discover and purchase art online.
Features
- Recommendation algorithm that learns user preferences based on browsing history and purchase behavior
- Categorization of artworks by price range (e.g., under $100, $100-$500, $500+)
- Filtering options by art type (e.g., paintings, sculptures, prints, photography)
- Personalized art feeds showcasing artworks tailored to individual tastes
- Artist profiles with detailed information about their background, style, and inspiration
- Secure payment processing and shipping options for seamless transactions