实例探究 > Women’s Apparel Company Case Study

Women’s Apparel Company Case Study

公司规模
1,000+
地区
  • America
国家
  • United States
产品
  • First Insight
技术栈
  • Direct-from-consumer valuation data
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Customer Satisfaction
  • Productivity Improvements
技术
  • 分析与建模 - 预测分析
  • 功能应用 - 库存管理系统
适用行业
  • 服装
  • 零售
适用功能
  • 产品研发
  • 销售与市场营销
用例
  • 库存管理
  • 补货预测
服务
  • 数据科学服务
  • 系统集成
关于客户
The customer is a Women’s Apparel Company facing challenges in aligning customer demand with product selection. The company struggled with a low forecast accuracy rate of 48% for new dresses, leading to heavy markdowns and slow inventory movement, which negatively impacted their margins. Their current in-store testing method was expensive, time-consuming, and potentially biased, as sales associates pushed new dresses harder than usual, skewing sales forecasts. The company needed a faster, more cost-effective way to accurately test new products to select the right inventory that resonated best with customers, achieving higher full-price sales and reducing markdowns.
挑战
A Women’s Apparel Company’s Senior Management Team engaged with First Insight to improve their product development and selection processes. The company had a low forecast accuracy rate of 48% when introducing new dresses, leading to heavy markdowns and slow inventory movement, which negatively impacted margins. The in-store testing method was expensive, time-consuming, and potentially biased, as sales associates pushed new dresses harder than usual, skewing sales forecasts. The company needed a faster, more cost-effective way to accurately test new products to select the right inventory that resonated best with customers, achieving higher full-price sales and reducing markdowns.
解决方案
First Insight provided investment guidance that enabled the Women’s Apparel Company to make more accurate buying decisions based on direct-from-consumer valuation data. The speed and scale at which First Insight could generate preference and pricing information on products showed a measurable improvement over the company’s current testing methods. In as little as 72 hours, the company could gain an accurate, forward-looking view of the most profitable dresses to source and bring to market. This new approach allowed the company to select the right inventory that resonated best with customers, achieving higher full-price sales and reducing the dependency on markdowns.
运营影响
  • Improved test accuracy by 13%, leading to a decrease in markdowns.
  • Enabled faster and more cost-effective product testing.
  • Provided a forward-looking view of the most profitable dresses to source and bring to market.
  • Allowed the company to make more accurate buying decisions based on direct-from-consumer valuation data.
  • Achieved higher full-price sales and reduced dependency on markdowns.
数量效益
  • Improved forecast accuracy rate by 13%.
  • Multi-million dollar value proposition due to decreased markdowns.

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