Salesfloor provides an AI-driven ecommerce platform that utilizes a large language model and machine learning algorithms to facilitate personalized, autonomous conversations between shoppers and virtual sales associates. This technology enhances product discovery and recommendation accuracy, addressing the challenge of delivering tailored shopping experiences that meet individual customer needs.
Funding
$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ICFounders
Product
Problem
Many online shoppers struggle to find the right products due to generic recommendations and a lack of personalized guidance, leading to abandoned carts and lost sales opportunities for e-commerce businesses. Traditional online shopping experiences often fail to replicate the tailored assistance provided by in-store sales associates.
Solution
Salesfloor offers a conversational AI platform that enables personalized, autonomous interactions between online shoppers and virtual sales associates. The platform leverages a proprietary large language model (LLM) trained on years of real-life customer-associate conversations to understand shopper needs and deliver a branded sales persona. By understanding customer intent, Salesfloor's AI facilitates product discovery through visual browsing and provides hyper-personalized recommendations based on zero-party data and AI-driven product tagging. The platform aims to replicate the experience of interacting with a knowledgeable sales associate, leading to increased conversion rates and customer satisfaction.
Target Audience
The primary target audience includes e-commerce businesses seeking to enhance product discovery, personalize the online shopping experience, and increase conversion rates through AI-powered customer interactions.
Features
- Proprietary Sales Large Language Model (LLM) trained on real-life customer-associate conversations.
- Visual browsing feature that showcases relevant product options using a clustering algorithm.
- Machine learning recommendation engine and scoring algorithm for hyper-personalized product matching.
- Branded product badging that highlights key product attributes important to the customer.
- Autonomous conversation capabilities that mimic the interactions of a human sales associate.
- Integration with e-commerce platforms to provide a seamless shopping experience.