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Beyond NPS: Why Customer Feedback Needs a 360-Degree Revolution

eglobalis

CRM Integration : Correlate feedback data with customer profiles and transaction history for deeper insights into behavior and preferences. Can you share examples of how your organization has leveraged AI-driven insights or other innovative technologies to enhance customer satisfaction beyond NPS?

NPS 424
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AI and ML are Taking Digital Marketing to the Next Level

C3Centricity

Before summarising what I presented, I’d like to share some of the ideas and takeaways that I discovered about digital marketing and the impact of AI (artificial intelligence) and ML (machine learning). AI is not one technology: Despite what digital marketers may have hoped, AI is not the solution to all our problems.

ML 88
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Ethical Considerations of Using AI and Machine Learning in CRM

Customer Think

Credit : Pixabay Customer Relationship Management (CRM) systems have revolutionized how businesses interact with customers. With the advent of Artificial Intelligence (AI) and Machine Learning (ML), CRM has become even more powerful, providing deeper insights and more personalized experiences.

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Wootric’s Deepa Subramanian on measuring the voice of the customer

Intercom, Inc.

The customer defines the problem, but it’s on you to do root-cause analysis and solve the problem with your technology. I started in technology at Salesforce – I was their first female engineer and learned early on how valuable it can be to build a company from the perspective of your customer. Paige: Deepa, welcome to the show.

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How AI-Driven Contact Centers Can Improve Loan Approvals & Debt Recovery

Hodusoft

.” Organizations and professionals in the dynamic sector also need to be abreast with technological changes and use sophisticated tools to gain competitive edge. As the name suggests, an AI-driven contact center is a contact center that’s powered by AI tools and technologies. What is an AI-Driven Contact Center?

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How to Leverage Technology in Hybrid and Remote Work

SugarCRM

Technology for collecting, managing, and advancing customer interactions is vital for all businesses. Here are three ways businesses can use technology to maximize the value and productivity of a hybrid and remote workforce: 1. Ensure Your CRM Tools Are Fit for the Purpose.

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Forecasting and Planning with CRM-Driven Analytics in Manufacturing

SugarCRM

However, since CRM adoption has grown in popularity, CRM data-driven analytics have become a staple in manufacturing companies, thanks to the insights offered regarding demand forecasting and productivity planning. Besides, analytics based on CRM data can also offer insights into demand forecasting.