实例探究 > Innovation with Style: How Zalando Enhances Procurement with ML-powered Suggestions

Innovation with Style: How Zalando Enhances Procurement with ML-powered Suggestions

公司规模
1,000+
地区
  • Europe
国家
  • Germany
产品
  • Celonis
技术栈
  • Process Mining
  • Machine Learning
  • Automation
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Customer Satisfaction
  • Productivity Improvements
技术
  • 分析与建模 - 机器学习
  • 应用基础设施与中间件 - 数据交换与集成
  • 功能应用 - 企业资源规划系统 (ERP)
适用行业
  • 电子商务
  • 零售
适用功能
  • 商业运营
  • 采购
用例
  • 补货预测
  • 过程控制与优化
服务
  • 软件设计与工程服务
  • 系统集成
关于客户
Zalando is a leading European e-commerce company specializing in fashion and lifestyle products. With a strong focus on customer centricity and data-driven decision-making, Zalando aims to solve important challenges in the retail industry. The company operates across multiple countries in Europe and has a large workforce dedicated to providing a seamless shopping experience for its customers. Zalando's commitment to innovation and efficiency drives its continuous efforts to enhance various aspects of its operations, including procurement.
挑战
Zalando faced challenges in optimizing their procurement processes, which included issues like maverick ordering and deviations from standard procedures. The company needed a solution to streamline these processes, reduce operational tasks, and improve overall efficiency. Additionally, they aimed to enhance supplier analytics to better understand supplier billing behavior and payment terms, ultimately improving working capital management.
解决方案
To address these challenges, Zalando implemented Celonis for process mining and automation. This solution enabled the company to optimize procurement processes by identifying inefficiencies and automating tasks such as eInvoicing and eCatalogues. The Machine Learning Action Engine provided guided buying recommendations, reducing operational tasks and improving decision-making. Additionally, Celonis' supplier analytics capabilities allowed Zalando to gain insights into supplier billing behavior and payment terms, enhancing working capital management. The implementation of process governance measures helped mitigate maverick ordering and deviations from standard procedures, ensuring compliance and consistency.
运营影响
  • The implementation of Celonis led to significant improvements in procurement efficiency and speed, allowing Zalando to focus more on value creation.
  • The use of machine learning and automation reduced the burden of operational tasks, enabling employees to concentrate on strategic activities.
  • Enhanced supplier analytics provided valuable insights into supplier behavior, leading to better negotiation of payment terms and improved working capital management.
  • Process governance measures ensured compliance and reduced instances of maverick ordering, contributing to a more streamlined procurement process.

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