Meet future demand profitably with SAP Integrated Business Planning for Supply Chain (SAP IBP). Powered by SAP HANA in-memory technology, this cloud-based solution combines sales and operations planning (S&OP), forecasting and demand, response and supply, demand-driven replenishment, and inventory planning. Take advantage of powerful supply chain analytics, what-if simulation, alerts, and more to stay ahead of change and improve responsiveness.

• Automated, tightly coordinated supply chain planning processes
• Advanced machine learning algorithms and planning capabilities
• Native integration with SAP Supply Chain Control Tower and other solutions

1. Rapid deployment – Get up and running quickly with SAP Integrated Business Planning by using pre-configured process templates for an accelerated implementation.

2. Empower employees with intuitive features – Offer a unified, intuitive user experience with SAP Fiori and planning and simulation capabilities based on Microsoft Excel.

3. Plan resources effectively – Optimize resource efficiency by creating supply plans based on prioritized demands, allocations, and supply chain constraints.

Predict and meet customer expectations
Increase service levels, responsiveness, and forecast accuracy with predictive modeling and demand sensing capabilities.

• React faster to demand changes with pattern recognition-based algorithms
• Optimize demand forecast accuracy across diverse product portfolios with machine learning technology
• Promise deliveries based on priorities and previous commitments

Continuously align planning processes
Control planning processes on a strategic, operational, and tactical level using advanced analytics and simulations.

• Improve collaboration with enterprise-wide process orchestration
• Align financial and volume plans with budgets and targets
• Provide executive analytics for decision support with what-if scenarios and simulations
• Increase business predictability by adjusting plans against current actuals

Make smart planning decisions in the moment
Use advanced planning features and machine learning algorithms for demand-driven, profit-optimized, and self-learning supply chains.

• Do top-down and bottom-up forecasts with a statistical baseline
• Set inventory targets using multi-echelon inventory optimization technology
• Reduce the bullwhip effect and foster supply chain resilience with demand-driven replenishment
• Enable multilevel response and supply planning using gating analysis

Increase real-time supply chain visibility
Get actionable insights from across your supply chain to understand impacts and execute adjustments in a timely way.

• Consider external data factors such as weather, risk, compliance, and sustainability data dimensions in your plan
• Detect and manage exceptions rapidly with automation and machine learning support
• Achieve visibility into work in progress; inbound and outbound shipments; and on-order, on-hand asset availability
• Work with suppliers and outsourcing manufacturers for easier and faster planning

1. Sales and Operations Planning (S&OP)
Power more productive and responsive planning by unifying financial and operational planning; foster collaboration and align inventory, service levels, and profitability.
Real-time planning Balance demand and supply, integrate financial and operational planning, and link high-level strategic plans with mid- and long-term business plans.
Simulation and comparison of scenarios Run simulations of demand or supply changes for what-if analysis and compare scenarios for fast, informed decision-making.
Collaboration Break down operational and planning silos and improve teamwork and efficiency in the planning process.
Performance monitoring Measure actual performance against plan and monitor for future misalignment between operational and strategic plans.

2. Forecasting and Demand Management Automate the statistical forecasting process and apply machine learning algorithms to predict demand.
Demand planning Combine multiple demand signals with statistical forecasts and collaborate to ensure accurate demand plans.
Advanced demand sensing Refine short-term forecasts to drive better fulfilment and inventory reduction.
Robust statistical models Use sophisticated forecasting algorithms, combined with machine learning and pre-and post-processing algorithms.
Time-series analysis Classify your products based on the patterns that their history exhibits and select algorithms based on that classification.

3. Inventory Planning and Optimization Establish optimal inventory targets that enable you to maximize profits, while ensuring customer service levels.
Multistage inventory optimization Use less inventory to buffer supply chain risk and uncertainty with multi-echelon optimization.
Robust statistical models Provide significant improvements over textbook calculations with proven algorithms.
Forecast error management Buffer against forecast error and other demand-side uncertainty to support your demand-driven supply chain.
Embedded analytics Visualize your supply chain network and quickly gain insights into inventory drivers.

4. Response and Supply Planning Generate feasible supply plans to meet demand with accurate inventory targets and efficient capacity utilization.
Multi-level planning Model across locations and multilevel bills of material to cover the entire supply chain network.
Supply planning Utilize a constrained or unconstrained heuristic-based or optimization technique to develop a tactical supply plan.
Rough cut planning Develop a tactical rough-cut capacity plan and consider capacity and material constraints simultaneously.
Response management Create an operational or order-based supply plan, with allocations and re-promising of orders through prioritization rules.

5. Demand-Driven Replenishment Use strategic decoupling points and inventory buffers to control the flow of material through the supply chain.
Smooth material and information flow Break the bullwhip effect in your supply chain and calm supply chain nervousness.
Replenishment based on actual demand Minimize the impact of incorrect forecasts on your replenishment strategy.
Calculation of decoupled inventory buffers Use past material consumption or future forecasts to determine the size of inventory buffer zones.
Supply chain resilience Buffer supply and demand uncertainty through decoupling points across the supply chain.

6. Supply Chain Monitoring Gain end-to-end visibility of your supply chain and detect potential disruptions with SAP Supply Chain Control Tower.
Intelligent visibility into your supply chain View your supply chain as a network with the exceptions that impact performance.
Simulation and comparison scenarios Run simulations of demand or supply changes for what-if analysis and compare scenarios for fast, informed decisions.
Event-driven exception management Identify issues quickly with customer alerts, providing context and priority information.
Supply network collaboration Work with suppliers and outsourced manufacturers for easier and faster planning.
Fulfil future demand profitably with real-time supply chain management. Powered by in-memory computing technology within SAP HANA, the SAP Integrated Business Planning for Supply Chain (SAP IBP for Supply Chain) solution supports sales and operations; demand, response, and supply planning; and inventory optimization.
Ensuring successful implementation and maximum business value from SAP’s best-of-the-breed Integrated Business Planning suite starts with finding the right SAP service provider. EXPERT is a strategic partner to more than one hundred organizations, has a distinguished team of experts that have end-to-end supply chain solution deployment and management capabilities. EXPERT leverages its strong competency in SAP’s Supply Chain Management suite of advanced applications to build industry-specific frameworks, accelerators, and templates which assists our customers achieve fast return on investment. Our IBP subject matter experts collaborate closely with our customers and SAP.

We provide our clients with the following services:
1. Advisory
2. Product assessment and evaluation
3. Business process re-engineering
4. PoC creation
5. Implementation
6. System integration
7. Support