2 Integrations with Logility

View a list of Logility integrations and software that integrates with Logility below. Compare the best Logility integrations as well as features, ratings, user reviews, and pricing of software that integrates with Logility. Here are the current Logility integrations in 2026:

  • 1
    Rayven

    Rayven

    Rayven

    Most businesses have plenty of software and data - it just doesn't work together. Off-the-shelf tools don't fit. Custom development is slow. AI projects fail because the data underneath isn't ready. Rayven connects IT, OT, IoT, files, APIs, and any other system into an AI data fabric - then lets you build custom apps, AI agents, automations, and dashboards on top. Works with what you already have. What gets built: custom apps, AI agents, predictive analytics, workflow automations, dashboards, and portals - all configured specifically for your business. Serves businesses from growth-stage to enterprise across 24+ industries globally. Delivery: DIY, Done-For-You (fixed scope, fixed price, two to 12 weeks) + Hybrid. More than 600 pre-built connectors. Ten native AI capabilities. More than 240 deployments live. Rated 5/5 across 140+ reviews.
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    Starting Price: $0
  • 2
    Planalytics

    Planalytics

    Planalytics

    Planalytics’ predictive demand analytics apply advanced statistical methods, artificial intelligence (AI) & machine learning (ML), mountains of sales data, and years of unmatched retail demand expertise to drive accuracy improvements. A key external factor any retail business should focus on is weather-based demand volatility. Planalytics provides product-specific, localized demand adjustments that isolate and calculate the consumer’s relationship with the weather. Planalytics’ real-world-tested analytics are trusted by retail businesses that currently operate over 75,000 combined locations. Retailers can integrate Planalytics as a rapidly deployable value layer into their existing software/SaaS solutions and AI/ML platforms. There is no quicker way to extract unrealized value from current demand forecasting technologies and to begin capturing the financial gains that are generated from optimized inventories, promotions, advertising, markdowns, and more.
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