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Introduction to Lead Capture Automation In today’s fast-paced digital economy, effective lead management is critical for sustaining growth and maintaining competitive advantage. Traditional methods of lead capture—such as static forms, delayed callbacks, and manual qualification—are no longer sufficient in an environment where prospects expect immediacy, personalization, and round-the-clock accessibility. Businesses that fail to adapt risk …

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In the world of digital marketing and customer engagement, businesses are constantly evaluating new technologies to drive conversions. One key debate is: Should you stick with a rule-based chatbot or upgrade to a fully AI-driven sales assistant? This blog explores the core differences between these two solutions, compares their impact on conversion rates, and shows …

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AI Increased Appointment Bookings by 45% for a Leading Marketing Company – From Click to Close Overview A leading provider in Marketing services, was facing a common yet costly problem inefficient appointment scheduling and high no-show rates. The company turned to GoVivace’s VIVI Omni CX Bot, a generative AI-powered omnichannel solution, to streamline its appointment …

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Customer experience is a crucial factor that sets companies apart in today’s fast-paced business landscape. Efficient call centers play a crucial role in maintaining high customer satisfaction levels in today’s fast-paced business landscape, which we cannot overstate. Manual QA processes in call centers and BPOs pose challenges that impact performance, efficiency, and customer satisfaction. Let’s …

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Call centers and Business Process Outsourcing (BPO) companies face several challenges in their operations. Some of the major challenges include high employee turnover, agent burnout, quality assurance, technology integration, customer expectations, data security and compliance, operational efficiency, language and cultural differences, remote work challenges, and adapting to technological advances. Addressing these challenges requires a combination …

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Artificial Intelligence chatbot are the next big thing for businesses. Unlike traditional chatbots, AI chatbot use large language models (LLMs) to understand and generate natural language, without the need for tedious and costly natural language understanding (NLU) development. This makes them more effective, versatile, and easy to deploy. In this guide, you will learn the …

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With the advent of speech technology, the industry has witnessed various breakthrough changes in speech data and analysis. Organizations and enterprises around the globe now are employing speech and voice recognition systems in their premises to monitor and enhance a number of operations such as meetings, conferences, voice bots for sales and support, telephony and …

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Communication plays a vital role in our lives. Humans started with signs, symbols, Speech into Text and evolved to a stage, where they began communicating with each other using various languages. Then a paradigm shift happened and with the advent of computing and communication technologies, machines started communicating with humans and in some cases with …

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Thanks to the evolution of speech recognition technology, there’s an easier and faster way of converting speech into text—such as for generating transcripts of audio content. Machines can perform this time-consuming tedious job accurately and quickly. So who needs speech to text for subtitling functionality? Audio sections of libraries generate transcripts or Subtitling of faculty …

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