Large Language Model (LLM)

Large Language Model (LLM)

A Large Language Model (LLM) is an AI system trained on vast amounts of text data to understand, generate, and interpret human language. It enhances customer support through intelligent chatbots, real-time agent assistance, and automated content generation, helping agents respond accurately to complex queries.

They also improve conversational AI by understanding nuanced language and context. By analyzing patterns in interactions, LLMs can highlight common issues and guide process improvements.

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Net Promoter Score (NPS)

Net Promoter Score (NPS)

Net Promoter Score (NPS) measures customer loyalty by asking how likely they are to recommend a brand, product, or service, with responses scored from 0 to 10. It provides insights into customer satisfaction and identifies areas for improvement.

Monitoring NPS over time shows whether changes in service positively impact loyalty. It also helps identify promoters who can advocate for the brand and detractors who may require intervention.

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Omnichannel Customer Experience (CX)

Omnichannel Customer Experience (CX)

Omnichannel CX delivers a seamless and consistent experience across all communication channels, both online and offline.

Customers can switch between channels without losing context, such as continuing a support chat on email. It strengthens brand reliability and reduces friction in the customer journey. Consistent CX across touchpoints also increases loyalty and long-term satisfaction.

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Quality Assurance (QA)

Quality Assurance (QA)

Quality Assurance (QA) monitors support interactions to maintain accuracy, efficiency, and service quality. It identifies training needs and helps agents improve responses, ensuring consistent customer experiences.

QA also benchmarks performance and tracks progress over time. Regular QA practices uncover recurring issues and support continuous improvement across teams.

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Your business is different – and the pricing should reflect that.
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