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Analyze customer reviews using Amazon Bedrock

AWS Machine Learning - AI

Customer reviews can reveal customer experiences with a product and serve as an invaluable source of information to the product teams. By continually monitoring these reviews over time, businesses can recognize changes in customer perceptions and uncover areas of improvement.

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Pixtral-12B-2409 is now available on Amazon Bedrock Marketplace

AWS Machine Learning - AI

You can also use this model with Amazon SageMaker JumpStart , a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. In the deletion confirmation dialog, review the warning message, enter confirm , and choose Delete to permanently remove the endpoint.

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Demand Forecasting Methods: Using Machine Learning and Predictive Analytics to See the Future of Sales

Altexsoft

Let’s compare the existing options: traditional statistical forecasting, machine learning algorithms, predictive analytics that combine both approaches, and demand sensing as a supporting tool. The most advanced systems can consider seasonality and market trends as well as apply numerous methods to finetune results.

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Innovative Solutions for Modern Apparel Fulfillment Challenges

Strategy Driven

In today’s fast-paced world of apparel retail, fulfilling customer orders quickly and accurately is more crucial than ever. However, achieving efficient apparel fulfillment poses significant challenges that require innovative solutions. Meeting these expectations requires streamlined processes and efficient logistics.

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Automating product description generation with Amazon Bedrock

AWS Machine Learning - AI

However, Amazon Bedrock’s flexibility allows these descriptions to be fine-tuned to incorporate customer reviews, integrate brand-specific language, and highlight specific product features, resulting in tailored descriptions that resonate with the target audience. We’ve provided detailed instructions in the accompanying README file.

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Demand Forecasting Methods: Using Machine Learning and Predictive Analytics to See the Future of Sales

Altexsoft

Let’s compare the existing options: traditional statistical forecasting, machine learning algorithms, predictive analytics that combine both approaches, and demand sensing as a supporting tool. The most advanced systems can consider seasonality and market trends as well as apply numerous methods to finetune results.

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Dynamic Pricing Explained: Use in Revenue Management and Pricing Optimization

Altexsoft

We talked with experts from Perfect Price, Prisync, and a data science specialist from The Tesseract Academy to understand how various businesses can use machine learning for dynamic pricing to achieve their revenue goals. Such a pricing strategy can lead to bad reviews, complaints, or worse.