The startup offers a cloud-based platform that enables retailers to create branded voice assistants for product catalog browsing on voice-enabled devices without any coding. This technology allows retailers to enhance customer engagement by providing seamless voice-shopping experiences linked to their physical stores.
Funding
$4M 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.



AIVVCFounders
Product
Problem
Online shoppers often struggle to quickly find the products they need due to inefficient search interfaces and generic product tagging. This leads to lower conversion rates and smaller basket sizes, especially in industries with large and complex product catalogs like grocery. Traditional search methods fail to understand nuanced customer needs and preferences, resulting in a frustrating shopping experience.
Solution
Blutag provides a conversational commerce platform powered by generative AI that enables retailers to create intelligent shopping experiences within their existing websites, mobile apps, and voice assistants. The platform leverages grocery-specific large language models (LLMs), natural language understanding (NLU), and vector search technologies to deliver personalized and relevant product results. By understanding individual shopping patterns, dietary preferences, and real-world scenarios, Blutag's AI anticipates customer needs and streamlines the cart-building process. This results in increased search conversion rates, larger basket sizes, and improved customer loyalty.
Target Audience
The primary target audience is e-commerce retailers, particularly those in the grocery industry, looking to enhance their online shopping experience and increase sales through AI-powered conversational commerce.
Features
- AI Shopping Co-pilot/Meal Planner: An AI-powered assistant that helps users with meal planning and special occasion orders through natural language input.
- Smart Product Results: An AI-powered search engine that delivers personalized and relevant product results based on individual user preferences.
- Predictive Cart Builder: An AI model that pre-builds shopping carts for users based on their unique shopping patterns and dietary preferences.
- Product Catalog Enrichment: An AI model that enhances product catalogs by analyzing image recognition, current trends, and performance data to optimize listings for maximum visibility and sales.
- Integrates with existing websites, iOS and Android apps, chatbots, and voice assistants via SDKs.