Liddy provides an AI‑powered voice assistant that mimics an in‑store beauty expert, engaging shoppers in real‑time conversations to recommend products. Unlike generic chatbots, it is trained on a retailer’s catalog for deep category knowledge and offers structured brand intelligence on customer queries, helping drive complex purchase decisions online.
Funding
Funding not disclosed
Founders
Product
Problem
Online shoppers often lack the in‑store expertise needed to make complex beauty product decisions, leading to confusion, abandoned carts, and repeat purchases. Traditional text‑only chatbots provide limited guidance and cannot retain context across visits.
Solution
Liddy offers an AI‑driven, voice‑based shopping assistant that replicates the conversational experience of an in‑store beauty associate. Using deep product knowledge and category‑specific reasoning, the assistant can understand spoken queries, recommend suitable items, and explain product compatibility. It retains memory of each shopper’s past interactions, enabling seamless continuation across sessions. All conversations are captured as structured data, giving retailers insight into common questions, pain points, and conversion drivers. The solution integrates directly with a retailer’s catalog, delivering real‑time, voice‑enabled guidance that helps customers choose the right products and complete purchases.
Target Audience
Primary customers are online beauty retailers and e‑commerce brands that sell products requiring expert guidance, such as cosmetics, skincare, and hair care.
Features
- Voice interaction that allows customers to speak naturally and receive spoken responses, eliminating reliance on typed input
- Persistent cross‑session memory that tracks individual shopper preferences, past questions, and purchase history
- Category depth modeling trained on the retailer’s specific product taxonomy, providing detailed recommendations and compatibility advice
- Brand intelligence analytics that transform each conversation into structured insights on customer queries and friction points
- Seamless integration with existing e‑commerce platforms, pulling catalog data to power real‑time product reasoning