A video-avatar AI assistant for Hardline Nutrition that speaks Turkish 24/7, recognises returning customers by face, and sells across a 150-product catalogue with live price and stock.
A Sales Advisor That Never Closes and Knows Its Customers
Hardline Nutrition needed a customer experience that works at every hour and every level of demand: answering product questions, tracking orders and shipments, and recommending like a knowledgeable sales advisor — in natural Turkish.
We built Hardiye: a real-time talking AI assistant with a video avatar. The customer speaks; Hardiye listens, reasons over the live catalogue and answers by voice. It recognises returning customers by face without storing photos, searches products by meaning rather than exact names, scans QR codes and barcodes, and looks up shipments.
The Hard Part
A voice that feels human leaves no room for lag or misunderstanding. We built the line as a streaming problem, measured a sentence's mouth-to-ear journey step by step, and tracked the backend and avatar shares separately. A possibly misheard product name or phone number triggers a spoken confirmation; precise requests go to a structured query in milliseconds, vague ones to semantic search.
How We Built It
- Real-time conversation and video avatar over WebRTC
- Face recognition by embedding, without storing photos
- Hybrid product search behind one tool: structured query + semantic search
- Speech-to-speech tests with an AI playing the customer, plus latency telemetry
- An automated release pipeline in Frankfurt; a separate product API for the client's IT team
The Result
Live since June 2026. Live price and stock across all 150 products, 155 green automated tests. The first greeting dropped from 5 seconds to 1.5, a repeated product query from 380 milliseconds to zero, and hybrid search answers on the server in 4 milliseconds.
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