IBM WebSphere Commerce Integrations

IBM Cloud® capabilities enable business agility and resiliency. Explore the platform that gives you 2.5x value. Designed for industry, security and the freedom to build and run anywhere. Business workflow transformation with automation and AI. Strong technology partner ecosystem that delivers value for industry needs. Industry and business domain expertise and solutions. Automated and auditable processes. Unique capabilities for the highest levels of cloud security and monitoring. Consistent security and controls posture across all applications. Containerized capabilities for DevOps, automation, data and security. Ease of integration and a consistent application development lifecycle. Advanced technologies including IBM Watson®, analytics, IoT, and edge.

RadView WebLOAD is a leading enterprise AI-based performance and load testing solution for testing web, mobile, and packaged applications. It supports over 150 protocols and technologies, including all common front-end frameworks, APIs, message queues, and databases, enabling load testing across any enterprise technology stack. RadView WebLOAD.AI, is available as SaaS and can also be self-hosted on-premise or in the cloud. It is highly scalable and can simulate hundreds of thousands of concurrent users from different locations and cloud platforms. With its smart and easy generation of reliable tests and its powerful AI-based analytics capabilities, RadView WebLOAD makes performance teams highly successful in detecting and quickly resolving performance issues even for the most complex environments. This makes RadView WebLOAD the solution of choice for many performance experts. RadView WebLOAD has built-in integration into most of the popular Testing, CI/CD and APM tools.

IBM Cloud Pak for Integration® is a hybrid integration platform with an automated, closed-loop approach that supports multiple styles of integration within a single, unified experience. Unlock business data and assets as APIs, connect cloud and on-premise applications, reliably move data with enterprise messaging, deliver real-time event interactions, transfer data across any cloud and deploy and scale with cloud-native architecture and shared foundational services, all with end-to-end enterprise-grade security and encryption. Achieve the best results from integration with an automated, closed-loop and multi-style approach. Apply targeted innovations to automate integrations, such as natural language–powered integration flows, AI-assisted mapping and RPA, and use company-specific operational data to continuously improve integrations, enhance API test generation, workload balancing and more.

The biggest challenge to scaling AI-powered decision-making is unused data. IBM Cloud Pak® for Data is a unified platform that delivers a data fabric to connect and access siloed data on-premises or across multiple clouds without moving it. Simplify access to data by automatically discovering and curating it to deliver actionable knowledge assets to your users, while automating policy enforcement to safeguard use. Further accelerate insights with an integrated modern cloud data warehouse. Universally safeguard data usage with privacy and usage policy enforcement across all data. Use a modern, high-performance cloud data warehouse to achieve faster insights. Empower data scientists, developers and analysts with an integrated experience to build, deploy and manage trustworthy AI models on any cloud. Supercharge analytics with Netezza, a high-performance data warehouse.

When you profile, you need the most powerful tool you can get. At the same time, you do not want to spend time learning how to use the tool. JProfiler is just that: simple and powerful at the same time. Configuring sessions is straight-forward, third party integrations make getting started a breeze and profiling data is presented in a natural way. On all levels, JProfiler has been carefully designed to help you get started with solving your problems. Database calls are the top reasons for performance problems in business applications. JProfiler's JDBC and JPA/Hibernate probes as well as the NoSQL probes for MongoDB, Cassandra and HBase show the reasons for slow database access and how slow statements are called by your code. From the JDBC timeline view that shows you all JDBC connections with their activities, through the hot spots view that shows you slow statements to various telemetry views and a list of single events.

IBM Cloud Pak® for Applications helps you modernize existing applications, embed additional security, and develop new apps that unleash digital initiatives. It offers cloud-native development solutions that can quickly deliver value, along with flexible licensing that can be tailored to your specific needs. On public clouds, on-premises or on a private cloud, run your applications where and how they work best for your business. We’ll provide the tools to sync them to Red Hat® OpenShift® on IBM Cloud®, a unified Kubernetes platform built on open-source standards. We'll also support them no matter where they run. Moving to the cloud doesn't mean that you'll build everything from the ground up. Instead, you can modernize traditional applications to increase their flexibility and scalability. Get an analysis of your apps with recommendations for what to modernize first and how to transform.

Discover how to start your AIOps journey and transform your IT operations with IBM Cloud Pak for Watson AIOps. IBM Cloud Pak® for Watson AIOps is an AIOps platform that deploys advanced, explainable AI across the ITOps toolchain so you can confidently assess, diagnose and resolve incidents across mission-critical workloads. If you’re looking for IBM Netcool® Operations Insight or any previous IBM IT management offerings, IBM Cloud Pak for Watson AIOps is the evolution of your current entitlement. Correlate across all relevant data sources. Detect hidden anomalies, anticipate issues and resolve faster. Proactively avoid risks and automate runbooks for more efficient workflows. Correlate a vast amount of unstructured and structured data in real-time with AIOps tools. Keep teams focused, surfacing insights and recommendations into existing workflows. Build policy at the microservice level and automate across application components.

Ensure perfect visibility of products, brands & categories. Respond to new product launches, promote seasonal items, and act quickly to trends. Drive the most relevant results and respond quickly to trends using shopper behavior, buying patterns, your analytics and proven machine learning models. Show the right results at the right time with contextual promotions. Highlight important products, curate navigation and create the ideal experience. B2B merchants can create search and navigation experiences that strengthen customer relationships, provide revenue growth and deliver competitive advantage. FindTuner provides a comprehensive suite of features that give merchandisers the power and control to provide high-quality, relevant search results, enhance and personalize the shopping experience and optimize revenue and profitability. FindTuner's growing list of features provide the ability to easily create and efficiently manage merchandising strategies for one or more storefronts.

Building underneath an established front-end, Broadleaf's Headless Commerce Solution lets you build a best-of-breed commerce platform. Use our API layer to centralize commerce administration and backend processes while enabling web, point of sale, native, and other applications. Broadleaf APIs are packaged as microservices with over 30 independently deployable and scalable bounded contexts. These services work together seamlessly to meet the needs of any next generation of commerce solution. But just being headless is not enough. With Broadleaf, you'll start with over 1,000 API endpoints each backed by completely customizable Java and Spring components. This functionality is surfaced in an admin application that utilizes metadata to provide backend users with a rich, cohesive experience while also allowing for independently maintainable microservices. With Broadleaf, you can manage the experience for multiple brands with separate carts, catalogs, customers, and orders.

Managing large amounts of data – from SKUs to sizes to colors – and balancing it against incoming information from social media, web analytics, and sales reports is a monumental challenge for digital merchandisers, with such data often going unutilized. Overcoming that challenge is easier with Smart Merchandiser for IBM WebSphere Commerce and IBM Watson Commerce. Quickly and easily reorganize your catalog through automated business rules or manually drag and drop products. Smart Merchandiser empowers digital merchandising teams to make informed display decisions by presenting all the data they need for each product with one click, elevating the online shopping experience for customers, while saving time and frustration across merchandising teams.

The most accurate size recommendation tool. Our size tool is the most advanced and accurate sizing technology in the market for your e-Commerce and instore. Size Adviser delights your online shoppers with exact and personalized size recommendations, and boosts your business results. Whether you sell your own brand or hundreds of brands, our size recommender provides a great service for all sizes of businesses whatever their category or product type. Experience how to confirm your exact size in just seconds as a shopper in your e-Commerce. Our size tool is integrated with only 2 lines of code and available for clothing, footwear, bras, bicycles, helmets, and gloves, for fashion and sport, for adults and children, on Desktop and Mobile, for iOS and Android Apps.

Azure Marketplace is a comprehensive online store that provides access to thousands of certified, ready-to-use software applications, services, and solutions from Microsoft and third-party vendors. It enables businesses to discover, purchase, and deploy software directly within the Azure cloud environment. The marketplace offers a wide range of products, including virtual machine images, AI and machine learning models, developer tools, security solutions, and industry-specific applications. With flexible pricing options like pay-as-you-go, free trials, and subscription models, Azure Marketplace simplifies the procurement process and centralizes billing through a single Azure invoice. It supports seamless integration with Azure services, enabling organizations to enhance their cloud infrastructure, streamline workflows, and accelerate digital transformation initiatives.

Join leading retailers, franchises, and wholesalers of all sizes choosing our award-winning solutions to sell more online and in stores. Deliver a better customer experience and streamline your business processes with our SaaS click & collect BOPIS solution. Access unique, real-time customer demand data for products across your entire store network. Understand what customers are searching for online and going into stores to purchase. Uncover real-time lost sales opportunities at the product and store level. Plan store and seasonal product mixes across your store network. Built for retailers, franchises, and wholesalers of all sizes. Deliver a better customer experience and leverage your store stock with our flexible and smart platform. Fulfil orders from your store network for faster delivery and reduced shipping costs. Bring ready-to-buy customers into stores and get real-time customer demand reporting.

Retail Week nominated Swogo as a Top 25 Most Innovative Retail company. Over 100 retail leaders drive profitable growth with Swogo. Brands like Decathlon, Sephora, Media Markt, John Lewis, Argos, Petco and Staples make millions in incremental margin using Swogo’s automated cross-sell bundles. Using a unique approach that focuses on understanding a retailer’s product assortment - Swogo Product Graph ™ combined with machine learning and AI algorithms have surpassed 10 billion bundle recommendations in 2020. Founded in 2012 - the company is based in London, Lisbon and Porto and is privately funded. Swogo has been featured in The Financial Times, Entrepreneur and Business Insider.