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For a leading car dealership, we are analysing 1,000+ calls daily for Customer sentiment and feedback, to drive sales

Our Client was seeking a solution to identify gaps in their Customer Service function, while also understanding Customer sentiment during lead generation calls to target their sales efforts

What we were solving for

Customer feedback: Manually analysing large volumes of audio can be challenging, whilst only analysing a small sample can often result in critical insights being lost

Customer sentiment: By understanding the level of interest, our Client was seeking guidance on which lead to offer a white-glove experience to, to expedite the sales cycle

OptiSol solution

We converted audio to text using AWS Transcribe and segmenting the text spoken by different participants

A natural language processing pipeline was built to assess the tone of the call and score it

Feature selection was applied to only select the most important “features” from a call, to analyse further

We built a classification model to predict whether a lead is likely to convert into a sale

What our Clients say

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