From Guesswork to a Number You Can Trust
We build robust demand planning and S&OP processes that align sales, supply, and finance—boosting forecast accuracy, reducing inventory, and raising service levels.
Demand Planning & Forecasting
Core Issues: Forecast Accuracy · Demand Shaping · New Product Introduction=
Replacing intuition with data-driven, continuously improving forecasts- Statistical Forecasting Engine:
- Deploying time-series and machine learning models to generate a statistically grounded baseline forecast by SKU/Channel/Region.
- Demand Sensing & Shaping:
- Incorporating leading indicators（POS, promotions, macro data）to sense near-term demand changes and shape demand through pricing and promotion levers.
- New Product Forecasting:
- Building look-alike models and phased launch plans to improve NPI forecast accuracy and ramp-up planning.
Sales & Operations Planning (S&OP) Design
Core Issues: Cross-Functional Alignment · One Number Plan · Governance
One plan, one number—one aligned organization.- S&OP Process Design / S&OP:
- Designing a robust monthly S&OP rhythm—data review, demand review, supply review, executive S&OP—with clear roles and decision gates.
- Governance & Decision Rights:
- Establishing S&OP steering committees, defining decision rights for trade-offs（volume vs. margin, service vs. inventory）, and standardizing meeting cadence.
- One-Number Philosophy:
- Aligning sales, operations, and finance around a single set of numbers to avoid shadow plans and conflicting KPIs.
Planning Process Optimization & KPIs
Core Issues: Process Efficiency · KPI System · Root Cause Analysis
Turning planning meetings from “reporting” to “solving.”- KPI Framework:
- Defining a balanced set of KPIs（forecast accuracy MAPE/BIAS, fill rate, inventory turns, obsolescence）and cascading them to owner roles.
- Root Cause Analysis (RCA) Routine:
- Embedding RCA cycles for forecast misses and supply gaps to drive continuous improvement in assumptions and models.
- Meeting Effectiveness Improvement:
- Redesigning agendas, pre-work packages, and decision templates to increase meeting productivity and accountability.
Digital Planning & Analytics
Core Issues: Tools & Platforms · Data Integration · Scenario Modeling
Equipping planners with the right tools for better decis- Planning Tool Selection & Implementation:
- Supporting evaluation and deployment of best-of-breed planning tools（e.g., o9, Blue Yonder, Kinaxis）and ERP-embedded modules.
- Data Foundation & Integration:
- Integrating demand signals across channels, orders, shipments and external data to build a single, trusted planning data platform.
- Scenario & What-If Modeling:
- Building rapid scenario capabilities（demand upside, supply disruption, cost changes）to support executive decision-making under uncertainty.
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