Demand Planning Software Resources
Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Demand Planning Software
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.
Demand Planning Software Articles
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Ultimate Guide to Operations Management: How to Improve Production
Demand Planning: How to Meet Future Needs Using Old Data
2021 Trends in Supply Chain Technology
How Technology Can Help Global Supply Chain Disruptions
The Impact of the Coronavirus on Tech Supply Chains
Demand Planning Software Glossary Terms
Demand Planning Software Discussions
New features that we are going to see in alloy in the future
- SAP Integrated Business Planning: SAP IBP is a cloud-native planning suite built for global operations and seasonality. It blends machine learning with collaborative forecasting, helping teams model seasonal patterns, promotions, and capacity scenarios across regions and channels.
- Oracle Fusion Cloud Demand Management: Oracle’s cloud demand planning emphasizes forecast accuracy and collaboration, with reviewers highlighting improved processes and accountability. It supports seasonal forecasting and cross-department alignment so teams can prepare for peaks without overstocking.
- Netstock: Netstock is a cloud demand and inventory planning platform noted for ease of use and rapid global rollouts. Users report better fill rates and reduced excess—useful for seasonal businesses balancing pre-peak build, in-season responsiveness, and post-season drawdown.
Hey G2 community. I’m curating the best cloud-based demand planning solutions for seasonal product businesses. If you’ve implemented SAP IBP, Oracle Fusion Cloud Demand Management, or Netstock, which handled your seasonal spikes best—and why? I want to build a quality list based on first-hand experience. Thanks!
Which features actually moved the needle — seasonal decomposition, promo uplift modeling, or supplier lead-time variability?
Hi All,
Opening a discussion around top-rated tools for collaborative demand planning across departments, especially platforms that support fast, consistent coordination for global or hybrid teams. Curious which solutions actually deliver a great experience from both the planning and admin sides.
Here are the demand planning platforms frequently mentioned in the space:
- SAP Integrated Business Planning – Built for cross-functional planning (demand, inventory, S&OP) with collaborative workflows and ML forecasting. Does IBP keep sales, supply, and finance aligned without spreadsheet handoffs?
- IBM Planning Analytics – Scenario modeling and what-if analysis with shared models for sales, marketing, and supply chain. Has it improved cross-department visibility and faster consensus?
- Netstock – Cloud demand/inventory planning known for quick rollouts and usability across regions/ERPs. Does it help non-technical teams collaborate effectively on forecasts and orders?
- Blue Ridge Global – Exception-based dashboards and forecasting with reviewers citing straightforward implementation and collaboration. Does it reduce meeting time by focusing teams on the right exceptions?
- Streamline – AI-driven planning with real-time collaboration across S&OP stakeholders. Is the shared workspace enough to keep sales and operations in sync during demand shifts?
Would love feedback from teams using any of these platforms:
- Which tool gave you the most consistent cross-department planning outcomes?
- How was the implementation and time to value for collaborative workflows?
- Any unexpected advantages (or pain points) around consensus forecasting, version control, or auditability?
I've also seen Slim4 being mentioned in the space. Have you used it before?













