Voice AI Retail Kiosk: The Engagement Engine

Converts offline footfall into real-time intent analytics for store management.

Client

D2C furniture & retail, India

Project

Voice AI Engagement Engine

Year

2026

(01) Overview

Overview

High-end D2C retail showrooms handle hundreds of daily walk-ins, but long consultative sales cycles leave many customers waiting around during peak store hours. Axia engineered a fast, responsive Voice AI Kiosk that acts as an autonomous on-floor product expert. To protect the brand, it uses a locked-down guided mode that ensures accurate product and promotional claims.

Voice AI Engagement Engine
D2C furniture & retail, India
Dual-mode: free-speech + guided
Multi-language TTS for noisy malls

(02) Solution

Guided Voice Mode

Guided paths with pre-approved scripts run alongside free-speech mode to eliminate hallucination risks.

Noise-Optimized Audio Pipeline

Noise-filtered STT and multi-lingual TTS engines tuned specifically for crowded retail environments.

Real-Time Intent Analytics

A central dashboard tracks trending store queries and consumer intent from walk-in traffic.

(03) Results

Results

100% Peak-hour customer coverage
0 Hallucinated brand claims
2K–4K Peak daily walk-ins

Outcome: Converts offline footfall into real-time intent analytics for store management.

‹ On-Device Transcription for Pharma Use Case

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