List of Logility Integrations

This is a list of platforms and tools that integrate with Logility. This list is updated as of September 2025.

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    Rayven Reviews & Ratings

    Rayven

    Rayven

    The easy way to build apps, AI tools + automations.
    Rayven is a full-stack SaaS platform that supports no-, low-, and full-code development, helping you quickly create apps, automations, and AI tools - regardless of your current systems. - Get started free with AI-generated prompts, drag-and-drop interfaces, pre-built templates, or by writing your own code when needed to: - Launch apps and automations in minutes from templates or a blank canvas - Seamlessly connect systems, consolidate data, and embed AI into workflows - Optimise existing processes without replacing legacy infrastructure - Bring IT, developers, DevOps, ops, and product teams together on a single collaborative platform Built for developers and non-technical users alike, Rayven delivers an affordable, all-in-one way to move from concept to outcome, fast.
  • 2
    Planalytics Reviews & Ratings

    Planalytics

    Planalytics

    Transforming retail demand forecasting with data-driven precision.
    Planalytics employs advanced statistical methods combined with artificial intelligence (AI) and machine learning (ML) to scrutinize vast amounts of sales data while drawing on years of exceptional expertise in forecasting retail demand, which significantly boosts accuracy. A crucial factor for any retail business is the variable demand that can be swayed by weather changes. To tackle this challenge, Planalytics provides customized, localized demand adjustments that effectively evaluate how consumers respond to weather influences. Their analytics, proven in practical applications, are trusted by retail firms functioning in over 75,000 locations. Retailers can easily integrate Planalytics into their current software and AI/ML systems, offering a rapidly deployable enhancement that adds substantial value. This integration serves as an efficient way to tap into the potential of existing demand forecasting mechanisms, allowing businesses to enjoy the financial advantages linked to improved inventory management, marketing strategies, promotions, markdowns, and other critical areas. By leveraging these sophisticated analytics, retailers can greatly enhance both their operational efficiency and their ability to respond to market changes. Ultimately, this not only leads to better decision-making but also fosters a more agile approach to meeting customer demands.
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