AI Sales Assistant Solution
An AI-Gateway-powered sales assistant system: real-time recording of customer interactions, intelligent audio analysis, automatic customer profiling, and data-driven follow-up and retention operations — turning every interaction into an operable customer asset.
Relying on memory, gut feeling, and hurried follow-ups
Voice information from sales interactions is highly unstructured; customer data, intent assessment, and follow-up retention rely on personal experience, so opportunities and customer assets leak away in the details you never see
Interactions are hard to reconstruct and information gets distorted
Customer needs, objections, and sales commitments depend on memory and manual notes; key details are lost, interaction quality cannot be measured, and reviews and disputes lack objective evidence
Scattered customer data and inefficient profiling
Customer data lives in personal notes, chats, and call fragments without structured consolidation, causing handover gaps, poor collaboration, and over-dependence on individuals
Blurry customer personas and hard-to-judge intent
Without structured tags for needs, budget, and decision roles or quantified intent scoring, sales follows gut feeling and lacks a basis for tiered operations and resource allocation
Late follow-up and silently lost opportunities
Without systematic follow-up reminders and churn warnings, the optimal touch window is missed; silent customers are hard to re-engage and renewal and upsell opportunities slip away
A six-step loop: turn every interaction into the starting point of the next win
From audio capture to review and optimization, six stages are interlocked with data flowing back — a continuously running loop of capture → analyze → profile → portrait → retain → optimize.
Sales Intelligence Loop
Real-Time Capture
Real-time audio capture across face-to-face, phone, and remote meetings, with VAD, noise reduction, echo cancellation, and resume on weak networks
Audio Intelligence
Streaming ASR, speaker diarization, emotion recognition, and semantic insight that extract needs and commitments and generate call summaries
Profile Archiving
Entity extraction auto-builds structured customer profiles written into the CRM — searchable and traceable
Persona Building
Multi-dimensional tags, BANT intent scoring, and segmentation produce an operable customer persona
Retention & Engagement
Automated follow-up orchestration, churn warnings, and personalized outreach drive repeat purchases, renewals, and upsells
Review & Optimize
Call quality inspection, script analysis, and best-practice extraction feed back into training and sales processes
Turning inaudible details into visible insights
Built on ASR speech recognition and enriched with speaker diarization, emotion recognition, and semantic insight, unstructured interaction audio becomes structured, searchable, analyzable text assets.
Audio Analysis Pipeline
Real-Time ASR
Streaming speech recognition with millisecond transcription, mixed CN/EN and dialects, and live terminology correction
Speaker Diarization
Voiceprint-based clustering separates sales and customer roles; dialogue is archived by role
Emotion Recognition
Tone, pace, pauses, and semantics are fused to detect satisfaction, objections, and emotional shifts
Semantic Insight
Intent recognition and extraction of needs and commitments, with auto-generated summaries and action items
Real-Time Transcription & Denoising
Streaming ASR with environment denoising and acoustic echo cancellation (AEC) keeps accuracy high in noisy showrooms, stores, and expos.
Speaker Diarization
Voiceprint clustering tells sales and customer apart — who said what and promised what is clear, archived by role.
Emotion & Sentiment Recognition
Multi-signal fusion of tone, pace, pauses, and semantics flags satisfaction, objections, and emotional shifts with an emotion curve.
Semantic Insight & Summaries
Intent recognition and extraction of needs and commitments, with auto-generated call summaries, conclusions, and action items.
From a business card to an operable customer asset
Customer entities and key information are automatically extracted from conversations into structured archives, enriched with multi-dimensional tags and quantified intent scoring for tiered, operable personas.
Auto-Profiling via Entity Extraction
Companies, contacts, titles, needs, budgets, and timelines are recognized automatically and written into the CRM — no more manual data entry.
Multi-Dimensional Tagging
Industry, size, need type, decision role, and intent tags are applied automatically for a clear customer persona at a glance.
Quantified Intent Scoring
Automatic scoring based on the BANT model (Budget / Authority / Need / Timeline) quantifies opportunity maturity.
Segmentation & Tiered Operations
Hot, nurturing, and silent customers are segmented automatically for differentiated follow-up strategies and resource allocation.
From "closed deal" to "new beginning"
Centered on follow-up reminders, churn warnings, and customer health, a retention system spans the full lifecycle of acquisition, nurturing, conversion, renewal, and upsell.
Automated Follow-Up Orchestration
Follow-up tasks are generated from commitments and timelines with due-date reminders and escalation — never miss the optimal touch window.
Churn Warning
Silence duration, declining interaction frequency, and negative sentiment trigger multi-signal warnings for immediate win-back actions.
Customer Health Management
Multi-metric health scores cover the full lifecycle from acquisition and nurturing to conversion, renewal, and upsell.
Personalized Engagement
Persona- and behavior-driven content and script recommendations enable one-to-one outreach that lifts repeat purchases and upsells.
Full-chain capability from sound to asset
Four modules — capture, analyze, profile, retain — powered by one AI Gateway foundation.
AI Gateway Foundation
Unified access · Permission isolation · Audit trails
Real-Time Capture
Real-time audio capture across all scenarios
Capture across face-to-face, phone, and remote meetings with VAD, denoising, AEC, and resume on weak networks.
Covering face-to-face, outbound calls, and expos
In-Store / Showroom Visits
Full recording of in-store interactions, auto profiling and persona building, and a follow-up plan generated before the customer leaves — lifting revisit and repeat-purchase conversion.
Outbound Calls & Remote Sales
Real-time call transcription and quality inspection with live script prompts; summaries, commitments, and action items are generated automatically after each call.
Expo / Roadshow Batch Interactions
Batch capture of booth conversations, automatic profiling and intent segmentation after the event, and immediate follow-up on hot leads — no opportunity left behind.
Need to turn every customer interaction into an operable customer asset?
From real-time recording and audio intelligence to profiling, persona building, and retention operations, we provide complete deployment and implementation for the AI Sales Assistant Solution