DEMO / RECORDING
📺 视频深度技术提炼 · VIDEO KEY TAKEAWAYS⏱️ 时长: 9 mins · @Patrick Dang / Chaen Demo
核心主旨速览 (Core Takeaway)
在销售对练与真实话术应答中，如何结合 Jev 在毫秒级捕捉客户常见的潜在拒绝理由（如'价格太贵'、'考虑一下'、'没有预算'），并在 50ms 内精准触发对应的破冰话术卡片，避免传统 AI 对话助手在即时对谈中产生 2~3 秒尴尬停顿的问题。
📌 关键章节时间戳 (Key Chapters)
00:00销售实操中的最致命痛点：反应慢了机会就丢了02:10常见销售异议（Objections）分类体系梳理04:30实况演练：客户说'我需要再考虑一下'时的即时判断06:45毫秒级破冰卡片触发与话术演进08:20总结：为什么即时语音场景必须使用 System 1💡 关键实操结论与提效数据
- 面对面销售或电话呼叫中，超过 500ms 的停顿就会被客户感知为不专业；
- 将客户意图转化为离散的 8 种异议类别，由 Jev 瞬间锁定最可能的一个并推送策略；
- 大幅降低新销售人员的培训周期，提供实时的即时话术导航。
⚠️ 工程踩坑与边界提醒 (Gotchas)
- 语音识别（ASR）需要具备快速端点检测（VAD），避免把客户停顿误判为发言完毕；
- 话术卡片内容需持续由一线销售骨干迭代更新。
Overview & Result
Demonstrates live sales role-play training where customer pushbacks ('I will get back to you') are categorized by Jev in real time to pop up proven battle cards without awkward pauses.
How Jev fits in the loop
- Stream conversation turns from training call into structured text buffers.
- Pass speaker dialogue to Jev Choice across predefined objection categories.
- Trigger the corresponding tactical response card in 45ms.
- Guide the sales trainee with real-time persuasion pathways.
How to reproduce
- Review the 9-minute sales role play demonstration on objection handling.
- Construct a candidate taxonomy of common sales objections (Price, Authority, Need, Time).
- Feed transcribed dialogue turns to Jev Choice to surface corresponding battle cards instantly.
Why this build matters
Shows how sub-50ms AI reflexes make live conversational coaching viable in enterprise sales workflows.
Limitations
- Demonstration video; requires integration with telephony or meeting recording APIs.
- Nuanced relationship-based enterprise negotiations still require seasoned human intuition.
- Author reported community demonstration.