实例探究 > Optimizing Pricing to Mitigate the Impact of Tariffs

Optimizing Pricing to Mitigate the Impact of Tariffs

公司规模
1,000+
地区
  • America
国家
  • United States
产品
  • First Insight solution
技术栈
  • Predictive Analytics
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Customer Satisfaction
  • Revenue Growth
技术
  • 分析与建模 - 预测分析
适用行业
  • 零售
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 需求计划与预测
  • 补货预测
服务
  • 数据科学服务
  • 系统集成
关于客户
The customer is a large brand/retailer operating in the United States, with a significant presence across multiple retail channels. They are focused on maintaining their market position and profitability amidst changing economic conditions, such as the imposition of tariffs. The company has a diverse product portfolio and aims to leverage data-driven insights to make informed pricing decisions. With over 1,000 employees, the brand/retailer is well-established and seeks to use advanced analytics to navigate complex market dynamics.
挑战
A brand/retailer was concerned about the impact of tariffs on their margins. They wanted to understand in which retail channels they could increase prices on specific programs/items without receiving price resistance from customers. The challenge was to identify which items could bear the price increase and which could not, in order to optimize their pricing strategy and maintain profitability.
解决方案
The brand/retailer employed the First Insight solution to test all items that had the potential for price increases. This solution helped them determine which programs/items could bear the price increase and which could not. By leveraging predictive analytics, the brand/retailer was able to segment their retail channels and understand the price sensitivity of their customers. This approach allowed them to make data-driven decisions on pricing strategies, ensuring that they could maximize margins without alienating their customer base.
运营影响
  • The brand/retailer utilized segmentation by retail channel to understand which items could absorb the price increases and generate additional margin for the business.
  • They were able to identify items that could not absorb the price increase without resistance, allowing them to maintain unit sale levels in those channels.
  • The data-driven approach provided by the First Insight solution enabled the brand/retailer to make informed pricing decisions, balancing margin optimization with customer satisfaction.
  • The segmentation strategy helped the brand/retailer to tailor their pricing strategies to different retail channels, ensuring a more targeted and effective approach.
数量效益
  • The brand/retailer was able to markup all 5 items in retail channel #1, generating more margin than anticipated in this channel.
  • They maintained current prices on all 5 items in retail channel #2, taking a margin hit to preserve unit sale levels.

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