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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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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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Why Adopting New Technologies like AR and VR are Essential for Your Business?

Trigent

An American athletic footwear and apparel corporation utilizes augmented reality and virtual reality in its physical stores. A company that designs and markets shoes and eyewear, coffee, apparel, and handbags business model is inclined to create a positive impact on the world.

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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.

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How to reinvent Mobile eCommerce App through Personalization

Openxcell

Myntra and bewakoof.com as a cost-effective apparel business organize fashion quizzes and spinning games that lead to customers’ preferences and offers to satisfy their needs. Myntra as one of the known apparel businesses, serves best from an eCommerce site and growing away fast by attracting customers over social media.

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Don’t let product returns eat into your profits

Zensar

Besides chipping away at your pocket, returned goods are also impacting the environment adversely due to a shortage of space and resources to handle it. However, they also agree that while returns are integral to driving sales, they also lead to significant losses, primarily due to the high costs of reverse logistics management.

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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 only difference if compared with the previous century is that all calculations are performed automatically, by modern software.