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Initially, in the late 20 th century, the industry was primarily involved in outsourcing non-core or additional business functions such as customer support and data entry to offshore locations. This will further help in optimizing operations for better results. This also ensures streamlined processes and improved customer experiences.
Artificial intelligence (AI) is set to transform businessoperations, across domains, in the next few years. Strong NLP Engine and ML Capabilities. In addition, the contextual AI bot can acquire customer profile information that can aid in KYC processes for industries such as insurance, finance, banking, automotive, etc.
They go beyond basic natural language processing (NLP) and use: Machine learning (ML): AI agents continuously learn from interactions, improving over time without needing manual updates. That means less manual work, fewer mistakes, and faster resolutions, whether for customers, employees, or businessoperations.
In addition to these from proactive alerts, Sugar will leverage ML and AI to accelerate sales processes through guided selling playbooks, improve customer engagement through richer data segmentation and reduce cost to serve and time to resolution for customers. INFOGRAPHIC How SugarCRM Compares Real users rating their customer experience.
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