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AI and Customer Experience: The Smarter, Faster, and More Personal Duo Redefining B2B Success

eglobalis

Example: A manufacturing company using Salesforce Einstein saw a 25% increase in customer engagement by delivering personalized product recommendations based on past purchases and browsing behaviour. For example, a manufacturing client of SAP reduced downtime by 20% by leveraging predictive maintenance insights.

B2B 414
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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

This article examines in detail how businesses in both B2B and B2C contexts are leveraging AI, sentiment analysis, voice-of-customer (VoC) platforms, predictive analytics, and streaming data to capture customer insights in the moment. Beyond call centers , text analytics is helping firms decode sentiment across channels.

AI 349
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Forecasting and Planning with CRM-Driven Analytics in Manufacturing

SugarCRM

The manufacturing landscape is both competitive and dynamic. For decades, manufacturers struggled to anticipate demands, better manage resources, and ensure streamlined operations to meet customer expectations and remain relevant and profitable. Besides, analytics based on CRM data can also offer insights into demand forecasting.

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Customer Support Technology Gives Manufacturing Companies a Competitive Edge

TeamSupport

Customer support in manufacturing is not just a service, but a commitment to nurturing a long-term partnership. The adoption of TeamSupport’s technology offers numerous benefits for manufacturing companies. For companies operating in the manufacturing industry, communication across time zones is imperative.

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Customer Experience + Marketing: Pro’s & Con’s

ClearAction

Marketing professionals think of customer experience in terms of their deliverables: the user experience of websites, campaigns, events, research, content, social media, and so forth. Value creation occurs through Engineering, Manufacturing, and/or Operations. Customer Experience Social Media Conversations.

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Demand Forecasting in Manufacturing: From Data, to the Future

SugarCRM

The manufacturing industry may involve some of the most complex processes in multiple areas, from raw material management to the supply chain to resources and technology. All these areas need a precise balance, which helps manufacturers ensure better resilience in the face of unexpected market conditions and shifts.

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Building Success: Using CRM to Improve Manufacturing Demand Forecasting

SugarCRM

What we'll Cover: The Manufacturing Industry: Taking a Look Under the Hood According to our most recent survey , 59% of manufacturing enterprises struggle with the lack of accurate data in manufacturing demand forecasting with 37% having difficulty integrating data from multiple sources.