Speech Distance Vector Sales Probability Prediction
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Solution Overview
Problem
Current sales optimization methods rely heavily on human training and experience for estimating the probability of a successful sale during vocal interactions, lacking an automated real-time solution to support decision-making for sales representatives.
Innovation Solution
A system and method for real-time automatic prediction of successful sale probability using discourse dynamics between customers and organization representatives, employing a general-purpose computer to analyze audio streams, extract features, and apply statistical models to determine a sale success projection score.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated real-time prediction systems are implemented, then productivity and decision-making speed are improved, but device complexity increases
Solution Approach 1:
The system employs a general-purpose computer that can perform multiple functions: receiving audio streams, extracting features, calculating distance vectors, applying statistical models, and generating predictions. This multi-functional approach avoids the need for specialized hardware for each task, thereby improving productivity while controlling overall system complexity.
Solution Approach 2:
The patent introduces intermediate processing steps including feature extraction from audio streams and distance vector calculation between customer and representative speech patterns. These intermediaries transform raw audio data into meaningful metrics that can be processed by statistical models, enabling automated prediction without requiring direct complex analysis of raw audio signals.
2Measurement precision
If real-time analysis of interaction portions is performed, then measurement precision of sale probability is improved, but loss of time in processing increases
Solution Approach 1:
The interaction is divided into discrete portions that are processed sequentially. The system receives audio streams portion by portion, extracts features from each portion, calculates distance vectors, and generates predictions for each segment. This segmentation enables real-time processing with precise measurements at multiple points throughout the interaction, rather than waiting for complete interactions.
Solution Approach 2:
The system performs preliminary feature extraction and distance vector calculation on each interaction portion as it arrives, preparing data in advance for the statistical model. This preliminary processing of individual portions enables faster final prediction generation when needed, improving both precision and reducing time loss.
Data Source
AI summary
A computerized method for sales optimization including receiving at a computer server a digital representation of a portion of an interaction between a customer and an organization representative, the portion of an interaction comprises a speech signal of the customer and a speech signal of the organization representative; analyzing the speech signal of the organization representative; analyzing the speech signal of the customer; determining a distance vector between the speech signal of the organization representative and the speech signal of the customer; and predicting a sale success probability score for the captured speech signal portion.