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Infor Demand Planning

Features
Ease of use
Ease of management
Quality of support
Affordability
Market presence
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User industry
  1. Manufacturing
  2. Agriculture, fishing, and forestry
  3. Construction

What is Infor Demand Planning

Infor Demand Planning is a demand planning application used to generate and manage demand forecasts to support supply planning, inventory decisions, and sales and operations planning (S&OP). It is typically used by supply chain planners, demand planners, and operations teams in manufacturing, distribution, and retail-oriented organizations. The product focuses on statistical forecasting with workflow for forecast review and collaboration, and it is commonly deployed as part of a broader Infor supply chain and ERP ecosystem.

pros

Strong fit in Infor stack

Infor Demand Planning integrates naturally with other Infor supply chain and ERP products, which can reduce integration effort when an organization standardizes on Infor. Master data, item/location hierarchies, and planning outputs can be aligned with adjacent Infor planning and execution processes. This can simplify governance and supportability compared with stitching together multiple vendors.

Forecasting and exception workflows

The product supports statistical forecasting approaches and planner workflows for reviewing, adjusting, and approving forecasts. Exception-based work management helps planners focus on items/locations with significant variance or business impact. These capabilities support repeatable monthly/weekly planning cycles and auditability of forecast changes.

Enterprise planning controls

Infor Demand Planning is designed for multi-user enterprise environments with role-based access and structured processes. It supports planning across multiple products, locations, and time buckets, which is important for organizations with complex assortments and distribution networks. It also provides reporting outputs that can feed downstream supply and inventory planning activities.

cons

Best value with Infor suite

Organizations not using Infor ERP or Infor supply chain applications may face additional integration work to connect data sources and publish forecasts to execution systems. Achieving end-to-end planning often requires complementary modules or third-party tools. This can increase implementation scope compared with platforms that are more vendor-agnostic by design.

UI and analytics vary by deployment

User experience and embedded analytics can depend on the specific Infor platform components and versions deployed in an environment. Some teams may need additional BI tooling or configuration to meet advanced visualization and self-service analysis expectations. This can add time for enablement and change management.

Advanced AI planning may require add-ons

Compared with some newer planning platforms, advanced capabilities such as extensive machine-learning feature engineering, rapid scenario modeling, or highly configurable optimization may require additional Infor products or custom work. Data science-driven forecasting and external data enrichment can require extra integration and governance. Buyers should validate required methods, explainability, and performance on their own data during evaluation.

Seller details

Infor
New York, NY, USA
2002
Subsidiary
https://www.infor.com/
https://x.com/infor
https://www.linkedin.com/company/infor/

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