实例探究 > Insight into Big Data Boosts Sales by $3.1 Million

Insight into Big Data Boosts Sales by $3.1 Million

公司规模
1,000+
地区
  • America
国家
  • Canada
  • United States
产品
  • EmcienPatterns
  • Emcien’s pattern detection platform
技术栈
  • Pattern Detection Algorithms
  • Data Analytics
  • POS Data Integration
实施规模
  • Enterprise-wide Deployment
影响指标
  • Customer Satisfaction
  • Productivity Improvements
  • Revenue Growth
技术
  • 分析与建模 - 数据挖掘
  • 分析与建模 - 预测分析
  • 功能应用 - 库存管理系统
适用行业
  • 电子商务
  • 零售
适用功能
  • 商业运营
  • 销售与市场营销
服务
  • 数据科学服务
  • 系统集成
关于客户
Founded in 1848, S.P. Richards, a leading business products wholesaler and a Genuine Parts Company (GPC), distributes over 50,000 business products from 45 distribution centers across the U.S. and Canada. They serve thousands of office product resellers, including independent dealers, large contract stationers, national office supply superstores, mail order distributors, internet resellers, and college bookstores. S.P. Richards also offers a comprehensive range of value-added sales and marketing programs, advanced logistics technology, and sophisticated margin management and data analytics programs.
挑战
Independent office products dealers were struggling to maintain their competitive edge due to a lack of insight into customer buying patterns. This resulted in lost profit opportunities, primarily because of the proliferation of product-related data across multiple sales channels and the inability to convert customer-buying patterns into cross-selling opportunities. The dealers needed a way to identify and analyze real-time buying patterns across multiple channels to boost sales and regain their competitive advantage.
解决方案
S.P. Richards chose Emcien’s pattern detection platform to automatically detect customer-buying patterns for cross-selling and substitution opportunities. Emcien’s software analyzes multiple data streams, including product data and POS transactions, to identify these patterns and push recommendations across multiple channels. The platform’s ability to keep up with market dynamics and automatically detect buying patterns without human intervention was crucial. For example, if a customer buys a mop online, the software suggests related items like a bucket, floor cleaning solutions, and mop head refills. This automated approach also helps in organizing products in catalogs and promotional materials based on actual buying patterns.
运营影响
  • Automated cross-selling opportunities across 50,000 office products and multiple sales channels.
  • Enhanced customer satisfaction and ease-of-use.
  • Improved marketing efforts by organizing products in catalogs and promotional materials based on buying patterns.
  • Independent dealers can keep up with changes in demand and automatically surface what customers are buying across all channels.
  • Retailers can respond quickly to market shifts and competitors, increasing profitability and market share.
数量效益
  • Realized a 9% boost in sales.
  • Generated almost $800,000 additional revenue per quarter.
  • Achieved an additional $3.1 million in revenue per year.

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