1. Efficient collaboration among multiple departments to develop a "consistent plan" for production and sales synergy
Build a consistent plan for enterprises with multi-organizational linkage, enabling each functional area of business to have the capabilities to respond to market fluctuations, flexibly adjust plans, and collaborate efficiently while achieving the enterprise's strategic goals.
2. Strategic simulation, comparing multiple versions of plans to seek optimal decision-making
It has comprehensive computational capabilities with multiple constraints and multiple objectives, supports simulation and analysis of multiple versions in diverse scenarios, thereby anticipating multiple possibilities and helping enterprises select the optimal version of decision-making solutions.
3. Driven by Key Performance Indicators (KPIs), measure and supervise key operational nodes
Based on Key Performance Indicators (KPIs) such as the enterprise's delivery performance rate, capacity utilization rate, inventory turnover ratio, and gross profit margin, multiple departments jointly develop demand plans, inventory plans, and supply plans to balance demand and supply capabilities, thereby achieving production and sales synergy. Additionally, based on payoff profile analysis, each planning system is continuously optimized to help the enterprise capture greater value.
Based on the data from sales reports, as well as factors such as the enterprise's historical sales data, market trends, and customer needs, the demand forecasting algorithm model is invoked to accurately predict and plan product demand over a future period.
Application scenarios of demand forecasting results
While considering changes in demand and supply, balance inventory investment and service-level objectives. Enhance the enterprise's ability to plan multi-level inventory and dynamically adjust inventory, and combine it with the enterprise's financial plan to achieve the rationalization of the balance between spot goods and turnover oriented towards profit.
By applying advanced intelligent decision-making algorithms, it accurately calculates the limited capacity within the enterprise's supply chain, thereby solving for the optimal supply path. Through efficient scheduling of supply resources, it assists enterprises in achieving optimal capacity planning and provides capacity planning for material supply, production supply, outsourced supply, etc.
Match the enterprise's expected demand with available supply, transform market demand opportunities into actionable operational plans, achieve integrated alignment of planning, production, procurement, and shipping, and build an operational system capable of efficient collaboration among multiple organizations. Meanwhile, all operations are closely centered around the enterprise's Key Performance Indicator (KPI) targets to ensure the balance of production, supply, and sales within the enterprise's limited capacity.
Guided by corporate profitability and based on cost considerations, integrate various costs with supply chain planning, analyze the cost and profit-and-loss status under each planning scenario, enable enterprises to clearly understand the sales investment, production investment, and profit value brought by different planning strategies, and achieve the formulation of profitability-driven supply chain planning based on multi-version simulation and comparison capabilities.
Supports the selection of Key Performance Indicators (KPIs), collects historical, current, and forecast data, compares performance across different time periods or business units, outputs multi-version comparison plans for key indicators, helps management select the optimal decision-making plan, and enables enterprises to conduct supply-demand balance analysis under multiple scenarios and objectives.
Assist clients in establishing a production and sales coordination mechanism, achieving the ability to plan for production and sales consistency, and establishing a production and sales coordination performance management system.
