Merchandise Managers Get Instant Data Access with 10,000 Searches Weekly
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- ThoughtSpot Relational Search Engine
- Tableau
技术栈
- Relational Search Engine
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - 数据交换与集成
适用行业
- 零售
适用功能
- 商业运营
用例
- 需求计划与预测
- 库存管理
服务
- 数据科学服务
- 系统集成
关于客户
The customer is a Fortune 100 Mass Retailer, a large corporate entity operating in the retail industry. This retailer manages massive transaction volumes across millions of customers and relies heavily on data to maintain a competitive edge. The merchandise planning team is responsible for managing thousands of product SKUs to maximize sales and minimize losses from markdowns and stockouts. The team requires visibility into daily sales, customer, and product data from multiple sources to make informed decisions about product displays and markdowns. The retailer's merchandise managers are tasked with analyzing this data to ensure the right products are available to meet evolving customer preferences.
挑战
At a Fortune 100 Mass Retailer, merchandise managers were struggling to analyze critical data due to the limitations of their legacy Business Intelligence (BI) tool, Tableau. The system was unable to handle the volume of data and frequent ad-hoc requests, leading to constant timeouts and a backlog for the BI team. As a result, merchandise managers had to spend hours manually building pivot tables in Excel to understand daily performance across product lines. This manual process limited their ability to manage all products effectively, causing them to miss opportunities to improve product margins and meet customer needs.
解决方案
The BI team implemented ThoughtSpot’s Relational Search Engine to provide merchandise managers with a self-service analytics solution. This tool allows managers to analyze their own data without needing assistance from data experts. ThoughtSpot's capability to handle terabytes of data with sub-second response times eliminated the need for the BI team to maintain complex data structures. The solution enabled merchandise managers to perform ad hoc analysis, gaining insights into daily sales trends, market basket assortment, and product profitability. ThoughtSpot is also used across the company for customer insights, product profitability analysis, and order analysis, providing a comprehensive view of customer preferences, purchase history, and web activity.
运营影响
数量效益
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