- 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.
- From Guesswork to a Number You Can Trust
What We Do
Show off your projects, features, or clients in this section
Feature
Module I: Demand Planning & Forecasting
模块一：需求计划与预测
Core Issues / 核心议题: Forecast Accuracy（预测准确性） · Demand Shaping（需求引导） · New Product Introduction（新产品导入）
Replacing intuition with data-driven, continuously improving forecasts.
用数据驱动、持续优化的预测替代直觉。- Statistical Forecasting Engine / 统计预测引擎:
- Deploying time-series and machine learning models to generate a statistically grounded baseline forecast by SKU/Channel/Region.
- 部署时间序列与机器学习模型，按SKU/渠道/区域生成统计基线预测。
- Demand Sensing & Shaping / 需求感知与引导:
- Incorporating leading indicators（POS, promotions, macro data）to sense near-term demand changes and shape demand through pricing and promotion levers.
- 纳入先行指标（POS、促销、宏观数据）感知短期需求变化，并通过定价与促销杠杆引导需求。
- New Product Forecasting / 新产品预测:
- Building look-alike models and phased launch plans to improve NPI forecast accuracy and ramp-up planning.
Feature
Module II: Sales & Operations Planning (S&OP) Design
模块二：销售与运营规划（S&OP）设计
Core Issues / 核心议题: Cross-Functional Alignment（跨部门对齐） · One Number Plan（“一套数”计划） · Governance（治理机制）
One plan, one number—one aligned organization.
一套计划、一套数字——一个高度对齐的组织。- S&OP Process Design / S&OP 流程设计:
- Designing a robust monthly S&OP rhythm—data review, demand review, supply review, executive S&OP—with clear roles and decision gates.
- 设计稳健的月度S&OP节奏——数据复盘、需求评审、供应评审、高层S&OP——明确角色与决策门。
- Governance & Decision Rights / 治理与决策权:
- Establishing S&OP steering committees, defining decision rights for trade-offs（volume vs. margin, service vs. inventory）, and standardizing meeting cadence.
- 建立S&OP指导委员会，定义权衡决策权（量 vs. 利、服务 vs. 库存），规范会议节奏。
- One-Number Philosophy / “一套数”理念:
- Aligning sales, operations, and finance around a single set of numbers to avoid shadow plans and conflicting KPIs.
Feature
Module III: Planning Process Optimization & KPIs
模块三：计划流程优化与KPI管理
Core Issues / 核心议题: Process Efficiency（流程效率） · KPI System（指标体系） · Root Cause Analysis（根因分析）
Turning planning meetings from “reporting” to “solving.”
把计划会议从“通报”变成“解决问题”。- KPI Framework / KPI框架:
- Defining a balanced set of KPIs（forecast accuracy MAPE/BIAS, fill rate, inventory turns, obsolescence）and cascading them to owner roles.
- 设计平衡的KPI组合（预测准确度 MAPE/BIAS、交付率、库存周转、呆滞）并下达到责任人。
- Root Cause Analysis (RCA) Routine / 根因分析机制:
- Embedding RCA cycles for forecast misses and supply gaps to drive continuous improvement in assumptions and models.
- 将预测偏差与供应缺口的根因分析固化为例行机制，驱动假设与模型持续改进。
- Meeting Effectiveness Improvement / 会议效能提升:
- Redesigning agendas, pre-work packages, and decision templates to increase meeting productivity and accountability.
Feature
Module IV: Digital Planning & Analytics
模块四：数字化计划与分析
Core Issues / 核心议题: Tools & Platforms（工具与平台） · Data Integration（数据集成） · Scenario Modeling（情景建模）
Equipping planners with the right tools for better decisions.
为计划团队配备更优决策工具。- Planning Tool Selection & Implementation / 计划工具选型与实施:
- Supporting evaluation and deployment of best-of-breed planning tools（e.g., o9, Blue Yonder, Kinaxis）and ERP-embedded modules.
- 支持评估与部署最佳计划工具（如 o9、Blue Yonder、Kinaxis）及内嵌于ERP的模块。
- Data Foundation & Integration / 数据基础与集成:
- Integrating demand signals across channels, orders, shipments and external data to build a single, trusted planning data platform.
- 打通各渠道需求信号、订单、出货与外部数据，构建单一可信的计划数据平台。
- Scenario & What-If Modeling / 情景与What-If建模:
- Building rapid scenario capabilities（demand upside, supply disruption, cost changes）to support executive decision-making under uncertainty.
