Belk Fashions an Analytics-driven Solution Worth Millions in Bottom-line Value
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Antuit's demand forecasting solution
- SAS analytical toolset
- Oracle Replenishment and Allocation
技术栈
- Machine Learning
- AI
- SAS Planning
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 预测分析
- 功能应用 - 库存管理系统
- 应用基础设施与中间件 - 数据可视化
适用行业
- 零售
- 电子商务
适用功能
- 销售与市场营销
- 仓库和库存管理
- 商业运营
用例
- 预测性维护
- 库存管理
- 需求计划与预测
服务
- 数据科学服务
- 系统集成
- 软件设计与工程服务
关于客户
Belk is a leading retail department store with almost 300 stores in 16 states and an online storefront offering fashion apparel, shoes, accessories, and cosmetics. With a history spanning more than 125 years, Belk has established itself as a significant player in the retail industry. The company has millions of SKUs and transactions, making it highly reliant on data and analytics to forecast, plan promotions, manage inventory, and interact with customers. Despite its long history, Belk recognized the need to modernize its operations by embracing advanced analytics and predictive technologies to improve business performance and better serve its customers.
挑战
Belk, a historic retailer with almost 300 stores and an online storefront, faced challenges in modernizing its internal planning and fulfillment systems. The company’s previous forecasting practices did not incorporate statistical modeling, relying instead on the average rate of historical sales (ARS). This made it difficult to capitalize on upward trends and minimize the impact of downward trends. Recognizing the value of advanced data-driven decision-making, Belk embarked on a $130 million smart technology initiative to better serve its customers. Building a predictive analytics capability was identified as a top priority, but the company also understood the challenges of changing long-held organizational processes.
解决方案
Belk partnered with Antuit to build an end-to-end solution backed by a single analytical foundation. Antuit's demand forecasting solution, built on the SAS analytical toolset, was implemented across all of Belk’s planning and fulfillment functions, including financial planning, allocation, and replenishment. This solution provided Belk with one enterprise demand signal feeding into each function, ensuring consistent decision-making across the organization. The forecast now accounts for seasonality, promotions, events, and other relevant variables, resulting in a stable and accurate forecast. The company has automated the calculation of replenishment orders with confidence. Accurate financial forecasts allow Belk’s merchants to plan future product purchases by vendor and allocate appropriate amounts of product to each store to maximize sell-through. During the open-to-buy process, reliable forecasts enable merchants to make better and faster business decisions and react quickly to emerging trends. To achieve a seamless, sustainable, and scalable process, Antuit integrated its solution with SAS Planning, Oracle Replenishment and Allocation, and Belk’s internal Assortment Planning system.
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