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Contact Centre Predictions for 2020

Callminer

I predict that the brands that will deliver a better response to the swearing problem, by adding offensive language as a call centre KPI, will get a competitive advantage in 2020. Predictive Analytics Will Drive a Better Customer Experience. I believe that predictive analytics will drive a better customer experience in 2020.

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How Artificial Intelligence and Predictive Analytics Can Help You Reduce Customer Churn

CSAT.AI

You should have all the standard data, such as customer location, age, email, title, etc…, but you should also be inquiring why customers are leaving when they leave. The second challenge lies in whether it’s structured or unstructured data. Analyze your data and data-gathering tools.

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Accelerate Your Marketing Efforts with the Help of Generative AI

SugarCRM

Gain a Better Understanding of Your Audience Base Maybe the most significant advantage posed by generative AI is its vast potential to closely analyze and generate accurate insights into large volumes of unstructured data. Without similar technologies, this data can be time-consuming and expensive to process.

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How to Streamline Auto Loan Origination with Intelligent Document Processing (IDP)

Lightico

IDP leverages and combines AI, Large Language Models (LLM) , OCR, and natural language processing (NLP) to seamlessly extract data from a diverse array of documents, ranging from scanned forms to digital submissions. All with our pre-training.

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Applying Gartner’s Analytics Maturity Model To Assess Your Customer Retention Program

VOZIQ

The intermediate stage involves automated and frequent data collection—both structured and unstructured data—from internal and external sources and analyzing processes offline. It focuses on detecting the underlying reasons that led to previous cancellations (i.e.,?why?customers customers canceled in the past).

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Applying Gartner’s Analytics Maturity Model To Assess Your Customer Retention Program

VOZIQ

The intermediate stage involves automated and frequent data collection—both structured and unstructured data—from internal and external sources and analyzing processes offline. It focuses on detecting the underlying reasons that led to previous cancellations (i.e.,?why?customers customers canceled in the past).

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Harnessing the Power of Generative AI in CRM

SugarCRM

Today’s CRM tools have been infused with predictive analytics and machine learning capabilities. Because of the data-backed content, such campaigns will likely have higher conversion rates. According to this Gartner study , almost 80% of CRM buyers today search for AI capabilities when deciding. Generative CRM: What Is It?

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