实例探究 > Major CPG Company Finds Success With End-To-End Digital Transformation

Major CPG Company Finds Success With End-To-End Digital Transformation

公司规模
Large Corporate
地区
  • America
  • Asia
  • Europe
国家
  • Worldwide
产品
  • E2open Channel Data Management
  • E2open Demand Sensing
  • E2open Demand Planning
  • E2open Supply Planning
  • E2open Distribution Planning
技术栈
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • SaaS
  • Cloud-native platform
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Customer Satisfaction
  • Digital Expertise
  • Productivity Improvements
技术
  • 分析与建模 - 预测分析
  • 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)
  • 平台即服务 (PaaS) - 数据管理平台
适用行业
  • 消费品
  • 电子产品
适用功能
  • 商业运营
  • 销售与市场营销
用例
  • 需求计划与预测
  • 库存管理
  • 预测性维护
  • 实时定位系统 (RTLS)
  • 供应链可见性(SCV)
服务
  • 云规划/设计/实施服务
  • 软件设计与工程服务
  • 系统集成
关于客户
The customer is a major consumer packaged goods (CPG) company with over a century of history. It operates in 180 countries, has annual revenues exceeding $50 billion, and owns six of the top 15 international brands in its category. The company has deep roots in agriculture and has enjoyed long-term success. However, changing consumer preferences and rising costs have led to stagnated or declining sales in certain markets, threatening the traditional business model and placing pressure on margins. In response, the company invested heavily in research to develop and launch alternative products to appeal to existing and new customers.
挑战
The CPG company faced stagnated or declining sales due to changing consumer preferences and rising costs. The company decided to transition from an agriculture-based business to manufacturing consumer electronics and accessories, which posed challenges in sourcing electronic components, securing plant capacity, setting up a reverse supply chain, and establishing new distribution channels. The company also needed to develop an understanding of demand for the new products and maintain revenues from old products to fuel the transformation. This required building a new business model with global standards and synchronized planning and management processes.
解决方案
The company initially changed supporting applications in a piecemeal fashion, focusing on scalability, functional capabilities, and ROI. E2open was chosen for its ability to capture and act on demand and supply signals in real-time, enforce global standards, and provide visibility into multiple supply chain tiers. The company required an open platform to add capabilities, processes, partners, and stakeholders in steps. E2open was the only vendor that could connect all value chain members, providing integrated demand sensing, supply and demand planning, and business execution capabilities. The company elevated e2open to the supply chain software platform of choice for the transformation.
运营影响
  • The transformation started with a few separate projects and was catalyzed by new operations leadership and a centralized supply chain planning hub with regional execution centers.
  • The company leveraged e2open applications such as Channel Data Management, Demand Sensing, Demand Planning, Supply Planning, Distribution Planning, Multi-Echelon Inventory Optimization, Supply Forecast Collaboration, and Supply Inventory Collaboration.
  • The company adopted a common centralized system for planning manufacturing capacity across old and new product categories, ensuring cost-effective access to contract manufacturers and the right level of manufacturing capacity in its own plants.
  • The company deployed e2open’s Channel Data Management application to gain visibility into channel inventory, fueling analytics to identify correct incentives and promotions.
  • The company built a business execution platform to orchestrate its end-to-end supply chain, enabling collaboration with distribution and supply partners and creating accurate short- and medium-term forecasts and fulfillment plans.
数量效益
  • The new business execution platform is expected to increase productivity by 30%-40% at the corporate level across all functions.
  • Planning cycle time has been reduced from around one month to only a few days.
  • The company can respond to change signals within one day, addressing the '16X problem' of handling products that are four times more complex and responding to supply or demand changes four times faster.

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