Powering an AI Conversational Platform with Data Intelligence
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IndustryConversational AI Software
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ServicesVoice of Customer Analysis
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LocationUSA
About
Our client is an innovative AI conversational platform that improves customer support for companies across industries. Their solutions help companies automate customer interactions, reduce response time, and enhance the quality of service.
Like many AI software providers, our client was challenged to streamline its pre-sales process and optimize its lead generation strategy. That's where PissedConsumer's data intelligence services came in.
Client Challenges
Long Solution Implementation Time
Our client needed to train machine learning (ML) algorithms to customize solutions for each company. This training took up to six weeks. It often became a barrier that deterred potential customers from sharing data and waiting months for tangible results.
Ineffective Lead Generation
The client's team had to manually score review platforms to identify potential leads, focusing on companies with poor customer service as prime candidates for their AI solutions. This manual process was time-consuming and limited in scope, being a stumbling block for scaling.
Solutions We Implemented
Real-world dataset for training machine learning algorithms
PissedConsumer provided the client with a pre-built dataset tailored to their target businesses. It included insights mined from reviews and recordings of calls made via our platform. Of course, the dataset did not include any sensitive information about users that they hadn't authorized to share.
With this data, our client was able to show prospects a working demo of their AI solution based on the company's pain points, eliminating the need for a lengthy six-week training period.
Accurate lead generation framework
The client provided us with a list of industries they were targeting. Our team leveraged PissedConsumer's extensive database to identify companies that matched their ideal buyer persona.
To achieve high accuracy, we conducted a Customer Request Analysis of potential prospects to identify reasons for customer requests to the company and product issues, and in parallel, a Customer Service Performance Analysis to provide insights into customer support efficiency: accessibility, responsiveness, empathy, customer satisfaction score, and more.
This comprehensive approach identified companies facing customer service challenges, making them ideal candidates for client's AI solutions.
The Clientโs Achievements
By providing a working demo during the pre-sales stage, prospects were more likely to commit if they could start using the AI solution immediately.
With pre-built datasets, our client was able to integrate the solution more quickly and efficiently into the company's customer service operations.
By optimizing the lead generation process with PissedConsumer's data analysts, the client could allocate more resources to business development processes.
Ongoing Collaboration
After six months, the client continues to partner with PissedConsumer and benefit from our data intelligence services, which have proven to be highly effective. By leveraging our data set, the client can offer more accurate and effective AI solutions to a broader range of businesses, positioning them as leaders in the AI-driven customer support industry.
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