About Automat

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.

```xml <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. </problem> <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. </solution> <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. </features> <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. </target_audience> ```

What does Automat do?

How much funding has Automat raised?

Automat has raised 3800000.

Funding

3800000

Employees

14 employees

Major Investors

Initialized Capital

Find Investable Startups and Competitors

Search thousands of startups using natural language

AI voice (2021+)underground pipe robots energy flexibility software

Start Searching

Automat

⚠️ AI-generated overview based on web search data – may contain errors, please verify information yourself! You can claim this account with your email domain to make edits.

Executive Summary

automat.ai 1K+

Crunchbase

Funding

Estimated Funding

$3M+

Major Investors

Initialized Capital

Team (10+)

No team information available.

Company Description

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.

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.

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.