Industry Specialties: Serves all industries
Based on 83 reviews:
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Infor LN is ranked #21 in the Discrete Manufacturing Software product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.
Based on our most recent analysis, Infor LN pricing starts at $5,000 (Monthly).
Infor LN is supported with the following types of training:
The following support services are available for Infor LN:
Average customer reviews & user sentiment summary for Infor LN:
83 reviews
80%
of users would recommend this product
Based on an aggregate of Infor LN reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.
Is Infor LN the "in" thing for manufacturers? Infor LN is a comprehensive manufacturing software solution designed to improve efficiency, productivity, and profitability. It offers a wide range of features to manage all aspects of manufacturing operations, from planning and scheduling to production and quality control. Infor LN also includes tools for tracking inventory, managing orders, and forecasting demand. While it is known for its ease of use, user reviews from the past year have been mixed.
Some users have praised Infor LN for its robust functionality and ability to handle complex manufacturing processes. They appreciate the software's comprehensive feature set and its ability to integrate with other business systems. However, other users have reported experiencing technical difficulties and a lack of adequate customer support. Some have also found the software to be expensive compared to competitors like SAP and Oracle.
Overall, Infor LN appears to be most suitable for large, complex manufacturing operations that require a comprehensive and integrated software solution. Smaller businesses or those with simpler manufacturing processes may find Infor LN to be too expensive and complex for their needs. It is important to note that software reviews can be subjective and vary depending on the specific needs and experiences of individual users.
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