Generative offer system with multilingual AI-driven voice assistant for real-time commerce

ChangeBridge: Patent Apps - Business Methods (G06Q)

Published August 10th, 2025

Detected April 2nd, 2026

Summary

USPTO published patent application US20260094179A1 by inventor Stephen M. Byrd for a system generating personalized promotional offers in real-time via multilingual AI voice assistants. The system processes natural language voice queries and analyzes purchase history, preferences, environmental context, and behavioral signals using machine learning. The technology supports cross-platform delivery across smartphones, wearables, smart TVs, and extended reality environments.

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What changed

USPTO published patent application US20260094179A1 covering a system and method for generating and delivering personalized promotional offers in real time through multilingual AI voice assistants. The invention processes natural language queries, analyzes prior purchase history, inferred preferences, historical interactions, environmental context (device type, location, time), and ongoing behavioral signals using machine learning models that adapt future offers based on accumulated user data. The system supports multilingual speech recognition across multiple platforms including smartphones, voice assistants, wearables, smart televisions, extended reality environments, and large language models.

This is a patent application publication, not a regulatory rule or enforcement action. It does not impose compliance obligations, deadlines, or penalties. Technology companies developing voice-activated commerce systems, retailers implementing AI-driven marketing, and consumer-facing platforms should review the disclosed claims to understand potential patent exposure in this domain.

Source document (simplified)

← USPTO Patent Applications

GENERATIVE OFFER SYSTEM WITH MULTILINGUAL AI-DRIVEN VOICE ASSISTANT FOR REAL-TIME COMMERCE

Application US20260094179A1 Kind: A1 Apr 02, 2026

Inventors

Stephen M. Byrd

Abstract

A system and method for generating and delivering personalized promotional offers in real time in response to user voice input. The system processes natural language queries and analyzes prior purchase history, inferred preferences, historical interactions, environmental context including device type, location, and time, and ongoing behavioral signals. Machine learning models adapt future offers based on accumulated user data to provide evolving personalization. The system supports multilingual speech recognition and can operate across smartphones, voice assistants, wearables, smart televisions, extended reality environments, and large language models. Offers may be delivered through audio, visual, or haptic interfaces to enable integration into commerce and advertising platforms. The combination of speech-triggered interaction, adaptive personalization, and contextual awareness enables dynamic, AI-driven promotional flows that operate consistently across multiple platforms and languages.