公司规模
Large Corporate
国家
- Worldwide
产品
- Parsable
技术栈
- Data Analysis
- Digital Transformation
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Waste Reduction
技术
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 食品与饮料
适用功能
- 质量保证
- 采购
用例
- 供应链可见性(SCV)
- 库存管理
服务
- 数据科学服务
关于客户
The customer in this case study is one of the largest breweries in the world. The company produces beer that is distributed globally. The brewery was facing challenges in the receipt of brewing ingredients and materials due to mismatches between Bills of Lading, Ship Tickets, and delivery locations. This was hindering production and showing a lack of accountability. The company was looking for a solution that could accurately capture data and digitize processes to optimize operations, collect and analyze quality data faster, and provide quality managers and their teams with greater visibility and control over real-time data captured.
挑战
The global brewery was facing issues with the receipt of brewing ingredients and materials. They were visually spot checking trucks that delivered these materials and often found mismatches between Bills of Lading, Ship Tickets, and even delivery locations. There were instances where they received the wrong materials or someone else’s materials which then hindered production and showed a lack of accountability. The company needed to accurately capture data and digitize processes in order to optimize operations. They wanted to collect and analyze quality data faster, and allow inspectors to report inconsistencies right away. They also wanted to provide quality managers and their teams with greater visibility and control over real-time data captured.
解决方案
The brewery implemented Parsable to digitize their four brewing material receipts and two truck unloading reports: Diazyme, Chilllgard, Phosphoric Acid, PVPP, Dextrose, ISS. Workers were able to use media capture to record bills of Lading, Seals, Certificates of Analysis, and other shipping documentation. This served near real-time document verification. With Parsable, data went from being processed and put into dashboards in seven to 30 days, to synchronized data every 24 hours with no data recapture. Technicians were able to respond by prompts through the use of triggered notices in order to eliminate variability in execution. Automated reporting created a record outside of Parsable that served as an auditable receipt of materials.
运营影响
数量效益
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