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Technology Giant Enhances Customer Experience with TigerGraph
技术
- 网络安全和隐私 - 入侵检测
- 平台即服务 (PaaS) - 应用开发平台
用例
- 行为与情绪追踪
- 库存管理
服务
- 系统集成
挑战
这家公司正在寻求建立一个新的核心客户 360 记录系统，该系统将提供产品推荐系统和实体解析功能。新的产品推荐系统将使公司能够创建准确的客户档案，显示出层次关系，并在客户登录其中央数据库执行功能、购买产品、请求服务等时帮助提供卓越的客户体验。
他们还希望它具有可扩展性和比上一个系统更高效的系统。客户 360 的这种运营功能对于他们在市场上的竞争优势至关重要。该系统将由一个集中的数据源组成，该数据源将成为客户数据平台的大脑。
客户
科技巨头
关于客户
科技巨头，这家财富 50 强公司是世界上最大的科技公司之一，在全球拥有超过 150,000 名员工。它提供全面的 IT 硬件、软件和服务解决方案组合。该公司以其在供应链管理和电子商务方面的创新而闻名。
解决方案
该公司选择 TigerGraph 作为其主客户记录新平台的基础。由于多个遗留系统的数据，这些重叠的客户记录需要为他们的数字客户身份管理平台组合，以更好地了解他们的客户行为。
现在，使用 TigerGraph 进行实体解析和身份管理，他们可以为客户提供更好的支持和下一步最佳行动，知道要交付什么内容，并实现新的客户参与技术。
运营影响
数量效益
相关案例.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Engaging Fans at one of the Largest Stadiums in the USA
Engaging and delighting fans has become the number one priority. However, the identity and behavior of fans within the stadium have been impossible to detect until Sirqul. Furthermore, standalone mobile apps historically have only seen a 5-30% penetration rate, thus leaving venues with poor data, insights and little interaction with the fan itself.This large stadium was looking for a set of recommendations to improve the fan experience, increase revenue and optimize operational efficiency based on this never seen before data.
Case Study
Hardware Retailer Uses Data Warehouse to Track Inventory
Ace tracked which products retailers ordered, when they were ordered and shipped. However, the company could not track or forecast actual sales. Data used for reporting was up to a one-week old, owing to performance and data cleansing issues. Requirement to integrate wholesale and inventory data with POS data to help drive key business decisions, improve category management, lower inventory costs and optimize pricing. Reliance on custom coding to integrate POS data was excessively resource intensive and led to major performance constraints.
