
Descartes Sellercloud is an all-in-one ecommerce platform designed to help businesses manage and grow their operations by centralizing control over product catalogs, inventory, orders, purchasing, fulfillment, and shipping. With more than 350 integrations to major marketplaces like Amazon, Shopify, and The Home Depot, Sellercloud enables sellers to expand their customer base and diversify sales channels effortlessly. The platform automates many repetitive tasks, reducing manual effort and allowing companies to increase operational efficiency and speed up order fulfillment. It offers tailored solutions for various ecommerce models, including wholesale, retail, 3PL, FBA, and refurbished products, making it versatile for different business needs. Customers consistently highlight Sellercloud’s ability to eliminate inventory errors, automate workflows, and support rapid growth. Sellercloud also provides a dedicated product expert to guide clients through onboarding and help them optimize their workflows. The platform’s scalable architecture supports businesses as they grow and face new challenges in ecommerce. Overall, Sellercloud delivers a comprehensive toolkit to manage every aspect of online selling with ease.
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Amazon sellers profit analytics that are accurate Provide detailed information about Amazon fees (e.g. FBA fee, commissions, PPC spend, return cost, promotion costs and your fixed costs (e.g. Virtual Assistant, Prep Center You can also view your data by time period (today or yesterday) and by product. Our flexible charts allow for quick and easy analysis of your Key Performance indicators. Everything can be customized: KPI's (e.g. sales, units profit, return costs etc. The output can be filtered by timeframe and granularity (e.g. last year by month, or last month by day). You can filter the view by product or marketplace (with multi-selection). You can view summary information and drill down into product details for each period. It's a clickable, smart P&L statement that allows you to focus on each parameter (e.g. amazon fees) for each time period.
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XPLN Suite
The software suite XPLN is one of the leading solutions for collecting current market data, e-commerce price optimization and comprehensive services in the field of Digital Shelf Analytics. A strong focus on technology, innovation and proximity to the customer enable us to deliver higher quality data to our customers and help them grow their business through valuable insights and confident decisions about offers and positioning. Many well-known retailers and brands trust in us.
XPLN allows enterprises to import product or pricing data and automatically collect market prices from multiple online sources. Administrators can use the dashboard to track online ratings, stock levels, prices, marketplace ranking, and other metrics on a centralized platform. It also lets the clients define product repricing strategies based on configured rules, utilize the price monitoring engine to determine required changes, and manually or automatically adjust prices in the database.
XPLN further enables organizations to analyze competitors' product ranges or catalogs for available colors, sizes, variants, or prices. Brand manufacturers can detect unauthorized sellers and determine differences between RRP and selling prices.
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Kentro
Introducing Kentro – a modern ERP solution crafted for the digital age of E-Commerce. Unlike traditional, cumbersome ERPs like NetSuite or SAP, Kentro offers an intuitive, powerful platform at a fraction of the cost. Manage everything from real-time inventory and multi-channel orders to supply-chain dynamics and accounting automation with ease. Kentro seamlessly connects with over 100 external tools and 5000+ zaps, eliminating disconnected processes and reducing manual work.
Our suite includes a multi-purpose online store, drop-ship automation, product catalog management, and a rules engine for workflow automation. Plus, a dedicated vendor dashboard and robust API integration make Kentro the most efficient, user-friendly ERP for today's E-Commerce businesses.
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