Kinect provides an AI‑powered conversational shopping assistant that embeds directly into e‑commerce sites, answering shopper questions, handling objections, and delivering personalized product recommendations in real time. The system adapts product page content based on each visitor’s intent and feeds structured intent data into a dashboard for actionable insights, with white‑glove, code‑free onboarding and continuous weekly model improvements.
Funding
Funding not disclosed
Founders
Product
Problem
Online shoppers often encounter uncertainty and unanswered questions on static product pages, leading to hesitation, abandoned carts, and missed sales opportunities. Traditional analytics capture clicks but not the underlying intent behind shopper inquiries, leaving brands without actionable insight into what customers truly need.
Solution
Kinect AI provides an intelligent, AI‑powered layer that integrates directly into existing e‑commerce storefronts. Its conversational shopping assistant answers shopper questions, handles objections, and recommends products in real time, while the adaptive product page dynamically reshapes content—descriptions, badges, FAQs, images, and cross‑sell suggestions—based on each visitor’s intent and context. All interactions are captured as structured intent data, which feeds a unified intelligence dashboard that surfaces actionable insights for marketing, merchandising, product development, and revenue attribution. The service is delivered as a white‑glove, code‑free integration with continuous weekly model improvements and quarterly performance reviews.
Target Audience
Primary customers are direct‑to‑consumer and D2C brands, as well as e‑commerce teams at retailers seeking to increase conversion, average order value, and shopper engagement through AI‑driven conversational commerce.
Features
- Full‑screen conversational assistant embedded on the site that answers questions, resolves objections, and makes personalized product recommendations using the brand’s voice
- Adaptive product pages that modify descriptions, badges, FAQs, image order, and cross‑sell suggestions in milliseconds based on shopper intent, browsing history, and purchase status
- Mobile‑first design ensuring seamless thumb‑friendly interactions on smartphones without page reloads
- Intelligence dashboard that transforms every conversation into structured signals (intent, product feedback, competitive mentions) and provides real‑time analytics for marketing, merchandising, R&D, and revenue attribution
- White‑glove onboarding that connects to the existing catalog, configures brand voice, and deploys via a single script tag—no code changes required
- Continuous learning loop that updates the assistant’s knowledge base weekly and delivers quarterly deep‑dives into performance metrics and shopper behavior