Advanced Forecasting with Inventory Planner for eCommerce

Added:

基线评估
OTB策略制定
预测模式对比
预测方法调优
预测收入覆盖
分类管理工具
库存参数优化
库存清理增效
新品上市预测

基线评估

2:01
Playing Section
  • 1

    通过库存周转和GMROI等指标,评估当前库存健康状况。

  • 2

    分析成本与零售库存价值,以及已订购货物的财务影响。

  • 3

    按ABC分类和品牌价值,确认库存管理的风险承受度。

Fundamental inventory management concepts, such as stock keeping units (SKUs), safety stock, reorder points, and lead times.
Basic retail financial literacy, including understanding Cost of Goods Sold (COGS), gross margin, and the cash flow cycle.
Introductory demand forecasting methods, such as utilizing historical sales data and identifying basic seasonal trends.
Multi-channel and multi-location inventory allocation strategies to optimize distribution across different warehouses.
Integration of AI and machine learning algorithms to automate demand forecasting using external variables like market trends and promotional calendars.
Advanced supply chain risk mitigation, including buffer stock optimization and vendor performance analysis.
Strategic capital reallocation, utilizing the cash flow optimized through Open-to-Buy (OTB) planning for product development or marketing expansion.
11.1K views111likes1:03:17@InventoryPlannerOriginal Release: 2020-10-01

Effective inventory management requires balancing multiple factors including cash flow, growth goals, risk tolerance, and brand positioning, with key metrics like stock turn and GMROI providing foundational insights; open-to-buy planning helps determine purchase requirements based on revenue goals and forward cover targets, while forecasting accuracy improves through considering stockout history and using dynamic days-of-stock settings rather than static safety stock, ultimately enabling businesses to optimize inventory levels for better financial health and operational efficiency.