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CX Titans: Samsung & Apple’s Rivalry and Collaboration for Excellence

eglobalis

Background on Samsung and Apple To fully understand how Samsung and Apple differentiate in customer experience, it’s essential to delve into the backgrounds of these two industry titans. Designed on DALL-E or MidJourney; all rights reserved to ECXOorg. However, this following lacks the fervor seen in Apple’s fan base.

e-support 504
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Growth vs. Customer Experience: A Dilemma?

ECXO

Map the Customer Journey What to Do: Identify every touchpoint a customer has with your business, from awareness to post-purchase support. product quality, service speed, user experience). Why It Works: Customers are more likely to trust and engage with brands that offer consistent experiences wherever they interact.

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LLM-as-a-judge on Amazon Bedrock Model Evaluation

AWS Machine Learning

Comprehensive metric categories : The evaluation system covers four key metric areas: quality assessment (correctness, completeness, faithfulness), user experience (helpfulness, coherence, relevance), instruction compliance (following instructions, professional style), and safety monitoring (harmfulness, stereotyping, refusal handling).

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The Complete Retail Customer Experience Guide

InMoment XI

User-Friendly Website Design and optimize your website for ease of use. A clutter-free and visually appealing layout enhances user experience and encourages visitors to explore and make purchases. Personalization Leverage data analytics and customer insights to personalize the online shopping experience.

Retail 195
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Ecommerce & Retail CX: Mapping the Buyer’s Journey with Surveys

Retently

These surveys use a rating of 1-5, 1-7, or 1-10 on a “Very Satisfied-Very Dissatisfied” scale or formats like 5-star, thumbs up-thumbs down, emoji, to gauge how satisfied customers are with their experience. In fact, 47% of consumers avoid repurchasing after a frustrating experience, so act quickly.

Ecommerce 109
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Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

AWS Machine Learning

You can use LangChain and specifically the LLMChain type of chain and pass as parameters the LLM, the prompt template you created earlier, and the question: question = "When can I visit the AWS M&E Customer Experience Center in New York City?" Let’s see if we can improve it by providing some context.

e-support 118
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Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI

AWS Machine Learning

insert(1, {"role": "user", "content": '### Input:n' + user_request}) for key,value in replace_items.items(): value = json.dumps(json.dumps(value).replace('"','')).replace('"','') format(intent_request)) #retrieve user request from intent_request user_request = 'Human: ' + intent_request['inputTranscript'].lower() replace('"','')).replace('"','')