AI IN THE ENTERPRISE

Blended.

Get practical tips compiled from fellow Customer Support practitioners. Use cases on adopting AI to improving agent efficiency and customer experience.

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Customer Support

August 18, 2024

The Future of AI in E-Commerce Customer Service

The integration of AI in e-commerce customer service is revolutionizing how businesses interact with consumers. AI tools enhance personalization, streamline transactions, and improve support efficiency, making them essential for modern retail strategies. As the technology advances, its role will expand, further transforming customer experiences and loyalty.

Customer Support

August 17, 2024

Guide to AI-Powered Customer Support in E-Commerce

AI is transforming customer support in e-commerce by delivering faster responses, personalized interactions, and efficient handling of queries. From product assistant bots to AI-driven checkout processes, businesses can enhance customer satisfaction and streamline operations. Embracing AI technology is essential for staying competitive in the online retail landscape.

Customer Support

August 16, 2024

Top AI Tools for E-Commerce Support in 2025

As e-commerce evolves towards 2025, AI tools are essential for enhancing customer interactions, operational efficiency, and personalization in online retail. Key advancements include product assistant bots, AI-driven checkout solutions, and predictive analytics that enable seamless, tailored shopping experiences. Integrating these technologies will be crucial for businesses aiming to meet and exceed customer expectations in a competitive market.

Customer Support

August 14, 2024

How AI in E-Commerce Support Enhances the Buying Experience

AI integration in e-commerce support enhances customer experiences by providing 24/7 service, personalized shopping, and efficient operations. With tools like product assistant bots and AI-driven recommendations, businesses can significantly improve engagement and reduce operational costs. While challenges such as data privacy and algorithm bias exist, the future of AI in e-commerce holds promising advancements for superior customer service.

Customer Support

August 13, 2024

Why Fintech Leaders Rely on AI for Customer Data Analysis

Fintech leaders increasingly rely on AI for customer data analysis to enhance personalized services and secure customer information. By automating data enrichment and leveraging real-time insights, AI allows companies to anticipate customer needs and ensure compliance with regulations. As AI technology continues to advance, its integration in fintech operations becomes essential for growth and competitiveness.

Customer Support

August 12, 2024

The Future of AI and Fintech Customer Data Protection

As fintech evolves with AI integration, safeguarding customer data is critical amidst increasing cyber threats. Companies must embrace advanced security measures, comply with regulations, and build trust through transparency. Future trends indicate the growing use of machine learning for threat detection and privacy-enhancing technologies.

Customer Support

August 10, 2024

Top Use Cases of AI with Fintech Customer Data

Artificial intelligence is transforming the fintech industry by enhancing customer insights and operational efficiency through the effective use of customer data. AI facilitates data enrichment, real-time decision-making, and tailored customer experiences while ensuring data security and compliance. As AI technology advances, fintech companies are set to leverage these capabilities for sustained growth and innovation.

Customer Support

How Fintech Customer Data Powers AI Experiences

Fintech customer data is essential for developing AI-driven solutions that enhance personalization, decision-making, and security in financial services. By leveraging this data, companies can deliver tailored experiences, improve customer engagement, and ensure robust fraud detection. A strong data strategy is critical for fintech firms aiming to thrive in the competitive landscape of AI.

Customer Support

My Manager Has Tasked Me to Evaluate AI for Support—What Do I Do?

Evaluating AI for customer support? This guide covers defining business goals, selecting the right AI tools, and measuring success. Learn how AI chatbots, agent assist AI, and automation can enhance customer service efficiency and ROI.

Customer Support

Why Smart Teams Trust AI for Escalation Handling

Smart teams are leveraging AI for escalation handling to streamline customer support and enhance operational efficiency. By automating ticket management and prioritizing issues through sophisticated algorithms, AI improves response times and customer satisfaction. Embracing AI provides businesses a competitive edge in a rapidly evolving digital landscape.

Customer Support

Guide to Using AI for Support Escalation Management

This guide highlights the critical role of AI in optimizing customer support escalation management. By automating ticket prioritization and utilizing real-time analysis, businesses can enhance efficiency, reduce errors, and improve customer satisfaction. Embracing AI technologies is essential for organizations aiming to excel in customer support.

Customer Support

The Future of AI Escalation Handling Workflows

AI escalation handling is set to revolutionize customer support by automating and enhancing the resolution of customer inquiries through intelligent workflows. Leveraging technologies like natural language processing and auto-escalation logic, businesses can significantly improve efficiency, customer satisfaction, and personalize service experiences. As AI continues to evolve, emerging trends will further enhance support processes, paving the way for deeper customer relationships.

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Customer Support

How to Measure Customer Service in the Age of AI: Metrics That Matter in 2025

As AI transforms customer support, businesses must adopt new metrics to measure service effectiveness by 2025, focusing on AI adoption rates, interaction quality, and customer sentiment analysis. Traditional metrics alone are no longer sufficient; organizations need to evaluate AI-specific metrics to optimize customer engagement and operational efficiency. Embracing these changes will help decision-makers maintain a competitive edge in the evolving landscape of AI-driven customer service.

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Customer Support

How Can I Build a Reliable AI for Customer Support

Learn how to build a reliable AI for customer support with best practices on AI technology, data training, and system integration. Discover key metrics like CSAT, ticket deflection, and ROI CX solutions to measure success. Stay ahead with generative AI customer experience and top AI-powered solutions from Google, Amazon, and Microsoft.

Customer Support

How Klarna is Revolutionizing Customer Support with AI

Klarna's AI-powered customer service assistant has transformed customer support by handling two-thirds of all chats, reducing resolution time from 11 minutes to under 2 minutes, and achieving a self-resolution rate of 75%. By leveraging AI chatbots, agent assist AI, and generative AI, Klarna has significantly improved ticket deflection and operational efficiency. As AI adoption in customer support grows, Klarna sets a new benchmark for AI-powered customer experience.

Customer Support

Conversational AI in Insurance: Transforming Claims and Customer Support with AITSM

The insurance industry is being transformed by conversational AI, enhancing claims processing and customer support through automation and improved efficiency. AI-driven solutions reduce errors, provide 24/7 service, and offer personalized interactions, ultimately leading to increased customer satisfaction. As the technology continues to evolve, AI is expected to reshape various facets of insurance, paving the way for greater operational efficiency.

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The Top Customer Support KPIs Every Leader Should Track

Support 101 metrics, operational and voice of customer KPIs. See different levels of tracking your tickets, agent efficiency, and customer service costs. AI's influence on support KPIs.

Customer Support

Approaching AI for specialized Technical Support vs. generic Customer Service

AI first way of looking at Technical Support vs. generic use cases of Customer Support

Workflow Automation

A Stepwise Guide to enabling Zendesk Advanced AI

How to set up Zendesk's Advanced AI abilities for your customer channels. Example use case from a support team and practical tips from the field.

Customer Support

Practical use cases of generative AI in Customer Service

Exploring the Practical Use Cases of Generative AI in Customer Service

Customer Support

Building Ecommerce Now a Breeze

How to cultivate a growth mindset and embrace challenges as opportunities for growth.

Customer Support

Voice of Customer Support - Ethan Walfish

Voice of Customer Support - Ethan Walfish

Customer Support

Voice of Customer Support - Alex Litoff

Voice of Customer Support - Alex Litoff