This article delves into product selection strategies on the Coupang platform, offering four practical tips for category selection and single product breakthroughs: learning from successful peers, understanding social trends, data-driven analysis, and listening to user reviews. It emphasizes the importance of prioritizing user needs and aims to help sellers create bestsellers on Coupang through refined product selection.
SellerSprite.com, developed by Yun Ya Technology, is an Amazon product selection and operation software powered by big data and artificial intelligence, empowering global sellers. As of September 2025, it has surpassed 1.6 million users and received over 30 industry awards. Its features cover product selection, keyword selection, and operational promotion, helping Amazon sellers achieve refined operations.
This article reviews a failed Amazon product selection case study involving evaporative coolers. It analyzes the reasons behind the high return rate and summarizes key points to consider during the product selection process, aiming to help readers avoid similar mistakes and improve selection success. Core lessons include: conducting in-depth research, signing detailed contracts, accurately estimating return rates, and strengthening overseas warehouse management. By learning from this example, sellers can make more informed decisions and reduce the risk of costly failures in their product selection strategies.
Product selection is crucial for independent store success. This article provides selection methods and, based on market trends, predicts nine potential trending product categories, including health & wellness, fashion, baby & maternity, and pets. It offers independent store sellers product selection references and marketing strategies to capitalize on these opportunities. Identifying these emerging trends can provide a competitive edge and maximize profitability.
This article provides a detailed overview of the service audit process on the Big Data Cross-border platform, aiming to help service providers understand the audit standards and efficiently list their services. It focuses on the handling of both successful and unsuccessful audits, emphasizing that information modifications will not affect existing orders. The article reminds service providers to pay attention to the audit process to ensure service quality. Understanding the audit criteria is crucial for a smooth listing experience and maintaining a high standard of service provision on the platform.
This article aims to assist enterprise decision-makers in making informed choices regarding WMS (Warehouse Management System) selection and implementation. It covers the process and methods of WMS selection, the planning and steps of WMS implementation, and strategies for continuous value enhancement, focusing on selection, implementation, and optimization. The article also provides abundant downloadable resources to help businesses achieve significant improvements in warehouse management.
This article provides an in-depth analysis of Amazon FBA fee components, including basic service fees (storage fees, fulfillment fees), specific service fees (inbound placement service fee, returns processing fee), and optional value-added service fees. It also offers practical strategies to optimize FBA fees, helping sellers reduce logistics costs and improve profitability. The analysis aims to provide actionable insights for effectively managing and minimizing FBA related expenses within the Amazon ecosystem.
The Quest for Quality Award from *Logistics Management* magazine is a leading benchmark for logistics service quality. This paper delves into the evaluation mechanism of the award, interprets the highlights of this year's winners, and provides recommendations for logistics companies in selecting service providers from a data analysis perspective. Furthermore, it offers valuable insights for logistics service providers to improve their service quality and enhance customer satisfaction, ultimately driving improvements in logistics quality.
This article delves into eBay product selection strategies, emphasizing the logic of demand-driven and social media-fueled bestsellers. It proposes a shift in product selection thinking from simply “following trends” to “leading trends.” Furthermore, it elaborates on key selection considerations such as profit margin, product convenience, and market positioning. The aim is to assist eBay sellers in precisely selecting products and creating bestsellers in cross-border e-commerce.
This article provides an in-depth analysis of the COD (Cash on Delivery) independent e-commerce website model for cross-border e-commerce, specifically targeting novice sellers. It details the advantages and disadvantages of the COD model, website platform selection, advertising strategies, product selection techniques, logistics partner selection, and risk control measures. The aim is to help sellers quickly get started with the COD model and tap into overseas markets.
