Sales conversation effectiveness analysis system

TWM688149UActive Publication Date: 2026-10-01QICHENG TECHNOLOGY CO LTD
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
TW115205204
Authority / Receiving Office
TW · TW
Patent Type
Utility models
Current Assignee / Owner
Filing Date
2026-06-05
Publication Date
2026-10-01
Estimated Expiration
2036-06-04

Smart Images

  • Figure TWG2TB001914419_001
    Figure TWG2TB001914419_001
  • Figure TWG2TB001914419_002
    Figure TWG2TB001914419_002
  • Figure TWG2TB001914419_003
    Figure TWG2TB001914419_003
Patent Text Reader

Abstract

This invention discloses a sales dialogue effectiveness analysis system, including a sales terminal device, a preprocessing unit, an analysis server, and a database. The sales terminal device is connected to the preprocessing unit for collecting audio data of sales dialogues. The preprocessing unit includes an audio acquisition unit, a speech processing unit, and a rhythm feature extraction unit, used to generate speech-text data and interaction rhythm feature data. The analysis server is connected to the preprocessing unit for performing feature fusion processing and effectiveness analysis on the speech-text data and interaction rhythm feature data. The database is connected to the analysis server for storing sales dialogue feature data and historical case data. The analysis server generates sales strategy information based on the database data and sends it to the sales terminal device. This invention has a clear structure, which helps improve the efficiency of sales dialogue analysis.
Need to check novelty before this filing date? Find Prior Art

Claims

1. A sales dialogue effectiveness analysis system, wherein, include: Sales terminal equipment, pre-processing devices, analysis servers, and databases; The sales terminal device is communicatively connected to the preprocessing unit for collecting sales dialogue audio data and sending it to the preprocessing unit. The preprocessing unit includes an audio acquisition unit, a speech processing unit, and a rhythm feature extraction unit. The speech processing unit is connected to the audio acquisition unit and is used to perform noise reduction and speech-to-text processing on the sales dialogue audio data. The rhythm feature extraction unit is connected to the audio acquisition unit and is used to extract the interactive rhythm features in the sales dialogue. The analysis server is connected to the preprocessing unit and is used to receive speech-text data and interactive rhythm feature data, and to perform feature fusion processing and effectiveness analysis. The database is connected to the analysis server and is used to store sales dialogue feature data and historical case data. The analysis server is used to generate sales strategy information based on the historical case data in the database and send it to the sales terminal device.

2. The sales dialogue effectiveness analysis system as described in claim 1, wherein, The preprocessing device further includes a scene recognition unit, which is used to receive scene tag information sent by the sales terminal device and call the corresponding preprocessing parameters according to the scene tag information.

3. The sales dialogue effectiveness analysis system as described in claim 1, wherein, The speech processing unit includes a noise reduction module and a speech-to-text module. The noise reduction module is used to perform spectral filtering on the audio data, and the speech-to-text module is used to generate time-stamped sequential dialogue text data.

4. The sales dialogue effectiveness analysis system as described in claim 1, wherein, The rhythm feature extraction unit includes a speech rate analysis module, a pause recognition module, and a speech switch detection module.

5. The sales dialogue effectiveness analysis system as described in claim 1, wherein, The analysis server includes a semantic feature extraction unit, a rhythm feature mapping unit, and a feature fusion unit; wherein, the semantic feature extraction unit is used to generate semantic feature data from temporal dialogue text data; the rhythm feature mapping unit is used to convert rhythm features into data that matches the dimensions of semantic features; and the feature fusion unit is used to fuse the semantic feature data and the rhythm feature-mapped data to generate joint feature data.

6. The sales dialogue effectiveness analysis system as described in claim 5, wherein, The analysis server also includes an effectiveness judgment unit, which is communicatively connected to the feature fusion unit and is used to receive the joint feature data and output effectiveness level data.

7. The sales dialogue effectiveness analysis system as described in claim 6, wherein, The analysis server also includes an attribution analysis unit, which is communicatively connected to the effectiveness judgment unit. The attribution analysis unit is used to receive the effectiveness level data and the joint feature data, and output key speech feature data and key rhythm feature data.

8. The sales dialogue effectiveness analysis system as described in claim 7, wherein, The historical case data includes a success case database and a failure case database. The success case database is communicatively connected to the analysis server and is used to receive the joint feature data, the key speech feature data, and the key rhythm feature data, and to store dialogue data with a success level.

9. The sales dialogue effectiveness analysis system as described in claim 8, wherein, The analysis server also includes a strategy generation unit, which is communicatively connected to the success case library. The strategy generation unit is used to perform clustering processing on the joint feature data in the success case library and output sales strategy data.

10. The sales dialogue effectiveness analysis system as described in claim 9, wherein, The sales terminal device includes a strategy prompting unit, which is communicatively connected to the analysis server and is used to receive the sales strategy data and output prompts.