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NDA project
AI-powered system that analyzes in-store customer conversations, scores service quality, and highlights performance gaps — without storing voice data to ensure compliance.
Retail / Sales Operations
US
Hardware + Web SaaS
Turnkey Product Development
The client operated a network of physical retail locations, where sales performance depended heavily on how staff interacted with customers. There were clear service standards: greeting, needs discovery, upsell, closing. Quality control relied on: manual audits, random checks, mystery shopping. This created several problems:
The client needed a way to systematically evaluate every interaction, without increasing compliance risk or operational overhead.
Operational Pain: Manual QA processes couldn’t scale across multiple locations
Technical Limitation: Need to analyze conversations without storing or exposing sensitive audio data
Business Risk: Missed revenue due to inconsistent service and lost upsell opportunities
Compliance Constraint: Strict requirements around data privacy and voice recording
We developed a hybrid AI system that captures and analyzes customer interactions in real time — without storing raw voice data. Audio is processed locally and then passed through an AI pipeline that:
The system evaluates each interaction against predefined service criteria (e.g., greeting, upsell, closing) and assigns a score. Results are aggregated and displayed in a dashboard. This allows managers to quickly identify where standards are followed — and where performance drops.
2x
AI
Engineer
1x
Fullstack Developer
1x
UI/UX Designer
1x
Hardware Specialist
1x
Project Manager
1x
QA
Engineer
2x
AI
Engineer
1x
Hardware Specialist
1x
Fullstack Developer
1x
Project Manager
1x
UI/UX Designer
1x
QA
Engineer
End-to-end voice analytics system (hardware + software)
AI pipeline for conversation analysis (VAD, ASR, diarization, LLM)
Conversation scoring based on service standards
Dashboard with performance insights by location and employee
Privacy-first processing (no raw voice storage)
Flexible setup for different retail environments
Full breakdown is available under NDA
Discovery & Planning: 3–4 weeks
Architecture & Design: 4–6 weeks
Development: 4–6 months
Total Timeline: ~6–8 months
Discovery Phase: $25K–$40K
Design & Architecture: $40K–$70K
Development: $180K–$320K
Total Investment: $300K–$450K
Share a few details — we'll map scope, timeline, and cost
Reduced time spent on manual quality control
Enabled large-scale analysis of conversations without storing sensitive audio
Improved service consistency and identified missed revenue opportunities across locations
