Infor Demand Forecasting
Demand planning software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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- Manufacturing
- Agriculture, fishing, and forestry
- Construction
What is Infor Demand Forecasting
Infor Demand Forecasting is a demand planning application used to generate statistical forecasts and support demand planning workflows for supply chain teams. It is typically used by manufacturers, distributors, and retailers to improve forecast accuracy, manage seasonality and promotions, and align demand plans with supply planning and inventory decisions. The product is commonly deployed as part of the broader Infor supply chain suite and is designed to integrate with Infor ERPs and planning modules.
Suite integration with Infor
The product is designed to work closely with Infor’s supply chain and ERP ecosystem, which can reduce integration effort when an organization is already standardized on Infor. It supports end-to-end planning processes where demand signals feed downstream supply and inventory planning. This can simplify master data alignment and operational handoffs compared with stitching together multiple vendors.
Statistical forecasting capabilities
Infor Demand Forecasting supports statistical forecasting methods that help planners model baseline demand and account for patterns such as trend and seasonality. It is suited to organizations that need repeatable forecast generation across many items and locations. These capabilities provide a structured alternative to spreadsheet-based forecasting for high-SKU environments.
Planning workflow and collaboration
The product supports planner workflows for reviewing, adjusting, and approving forecasts, which helps standardize how forecasts are created and governed. It enables exception-based review so planners can focus on items with significant variance or business impact. This structure can improve auditability of forecast changes versus ad hoc processes.
Best fit in Infor stack
Organizations not using Infor ERP or adjacent Infor supply chain products may face more integration work to connect transactional data, item/location hierarchies, and downstream planning processes. Data mapping and ongoing interface maintenance can become a material part of the implementation. This can reduce time-to-value compared with environments where Infor is already the system of record.
Advanced AI features vary
Compared with some demand planning platforms that emphasize newer machine-learning-driven forecasting and automated sensing, capabilities may depend on the specific Infor edition, modules licensed, and deployment architecture. Buyers often need to validate which algorithms, automation, and explainability features are included in their configuration. This can make feature-to-requirement matching less straightforward during evaluation.
Implementation and data readiness effort
Demand forecasting outcomes depend heavily on clean historical demand, promotion/event data, and consistent master data across items and locations. Establishing these inputs and tuning forecasting parameters typically requires cross-functional effort and iterative refinement. Organizations with fragmented data sources may experience longer implementation timelines and more change management.
Seller details
Infor
New York, NY, USA
2002
Subsidiary
https://www.infor.com/
https://x.com/infor
https://www.linkedin.com/company/infor/
