Manhattan S&OP
Recognized as a Leader in The Forrester Wave™: Order Management Systems Q1 2025, Manhattan S&OP enhances inventory management by aligning sales and operations seamlessly. By integrating advanced forecasting and financial constraints, this software empowers organizations to adjust inventory plans fluidly, ensuring optimal resource utilization and improved customer satisfaction across all channels.
Top Manhattan S&OP Alternatives
Oracle S&OP
Oracle S&OP empowers organizations to seamlessly adjust operating plans in alignment with corporate objectives.
QAD Digital Supply Chain Planning (DSCP)
QAD Digital Supply Chain Planning (DSCP) empowers businesses to enhance their supply chain agility through real-time analysis and collaborative decision-making.
SedApta Sales & Operations Planning Software Suite
The SedApta Sales & Operations Planning Software Suite streamlines the S&OP process, enabling manufacturers to align sales and operations effectively.
Arkieva Replenishment Planner
The Arkieva Replenishment Planner empowers S&OP planners with a swift, precise solution for multi-echelon supply chain management.
DSX
The Logility Decision Intelligence Platform revolutionizes supply chain management by integrating planning and operations seamlessly across the entire supply chain.
Triple Point S&OP
Triple Point S&OP is a sophisticated software designed to streamline sales and operations planning for businesses managing multiple commodities.
PlanCaster
It features tailored modules for marketing and trade promotions, allowing users to create, compare, and...
REMIRA TIA A3
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Blueshift ONE
It seamlessly integrates trade promotion management, demand planning, and business intelligence, enabling companies to create...
Top Manhattan S&OP Features
- AI-driven demand forecasting
- Multi-Echelon Inventory Optimization
- seamless omnichannel integration
- real-time inventory alignment
- automated chat assistance
- comprehensive planning solution
- hybrid forecasting model
- continuous feature updates
- scalable microservices architecture
- advanced statistical models
- unified commerce approach
- efficient inventory management
- customizable low-code configurations
- enhanced customer experience
- integrated external data sources
- dynamic seasonal profile adjustments
- precision demand prediction
- resource and financial constraints alignment
- actionable insights generation
- user-friendly interface.
