Overview
Product Information on Logility Decision Intelligence Platform
Updated 13th October 2025
What is Logility Decision Intelligence Platform?
Logility Decision Intelligence Platform Pricing
Overall experience with Logility Decision Intelligence Platform
Director Of Supply Chain Planning
50M - 250M USD, ManufacturingFAVORABLE
“Long-Term Satisfaction with Logility's Forecasting Module and Easy Implementation”
Director of Supply Chain
10B - 30B USD, ManufacturingCRITICAL
“A dependable tool that support basic forecasting needs”
About Company
Company Description
Logility provides AI-first supply chain management software engineered to help organizations build sustainable digital supply chains that improve people’s lives and the world we live in. Logility’s AI-driven end-to-end platform optimizes demand, inventory, supply, sourcing, network design, transportation, warehousing, and order allocation. The Logility Decision Intelligence platform helps clients know faster, turn uncertainty into opportunity, and transform supply chain from a cost center to an engine for growth.
Company Details
Year Founded
1996
Head office location
Atlanta, United States
Number of employees
201 - 500
Annual Revenue
250M-500M USD
Website
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Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
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Peer Discussions
Logility Decision Intelligence Platform Reviews and Ratings
- Director Of Supply Chain Planning50M-1B USDManufacturingReview Source
Long-Term Satisfaction with Logility's Forecasting Module and Easy Implementation
We have been very pleased with our experience with Logility, the product meets our needs and we've been using it for over a decade. We have implemented multiple instances of Logility over the years, and have also purchased other software from Logility. We have been using it for around 13 years at this point. When the software didn't do exactly what we needed it to, we worked with Logility to find ways to solve our business problems. We have achieved measurable benefits with the system, such as a reduction in forecast error of around 50%. We also improved our service level while handling increased complexity.
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