RecepAI · AI Voice Agent for Retail
Help shoppers find products, get support, and move through commerce journeys with natural voice conversations.
voice-agent foundation
grounded retail answers
RecepAI helps customers discover products, request support, and engage with commerce systems through natural voice conversations.
Designed for retailers dealing with repetitive support requests, ambiguous product queries, and voice-first service expectations.
Positioned as an active voice-commerce product foundation with integration-ready voice capabilities.
Why it exists
Customers expect fast answers, but support teams are overloaded. Generic chatbots often struggle with speech, product ambiguity, noisy SKU inputs, and real commerce workflows.
Core capabilities
Customers can ask questions in everyday language instead of typing or navigating rigid menus.
Supports search, clarification, and product result handling across ambiguous or noisy requests.
Generates answers using retrieved product, policy, and commerce context rather than unsupported guesses.
A .NET/C# VoiceGateway coordinates real-time voice-to-commerce workflows.
Handles intent understanding, response generation, and retrieval-grounded AI logic.
Tracks routing, latency, and workflow signals for future monitoring and optimization.
Retail use cases
Guide shoppers toward relevant products using conversational discovery.
Prepare for order-status and post-purchase assistance when connected to order APIs.
Explain policies, gather context, and escalate exceptions to staff.
Answer questions about hours, locations, delivery, pickup, and payment options.
Support appointments, consultations, demos, repairs, or service scheduling.
Capture voice feedback and convert it into structured experience signals.
Support offers, promotions, points, and customer engagement workflows.
Route sensitive or high-risk requests to the right support team.
Automate repetitive questions and triage common support tasks.
Give customers immediate service outside traditional support queues.
Use conversation signals to understand customer needs and friction points.
Technical foundation
RecepAI is presented as an advanced prototype / MVP foundation under development. STT/TTS should be described as integration-ready unless a specific provider is verified.
Let’s discuss how RecepAI can support product discovery, customer service, and retail automation.