Customer Company Size
Mid-size Company
Region
- America
Country
- United States
Product
- Domo
Tech Stack
- Data Visualization
- Database Management
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Consumer Goods
Applicable Functions
- Quality Assurance
Use Cases
- Real-Time Location System (RTLS)
- Predictive Quality Analytics
Services
- Data Science Services
About The Customer
Rhodes Bake-N-Serv is a leading manufacturer of frozen bread and rolls, including dinner rolls, sweet rolls, bread, biscuits and pizza dough. The company is based in Salt Lake City, UT and operates in the Consumer Packaged Goods (CPG) industry. Despite being a successful leader in the CPG industry, the company was facing challenges in its data gathering and sharing process. The executives and plant managers had limited visibility into the operations, and the process of gathering data was slow and manual.
The Challenge
Rhodes Bake-N-Serv, a leading manufacturer of frozen bread and rolls, was facing challenges in its data gathering and sharing process. The executives and plant managers had limited visibility into the operations, and the process of gathering data was slow and manual. The company was using Excel for reporting, which was time-consuming, error-prone, and difficult to maintain. The lack of real-time data also meant that any issues in the manufacturing process would take a long time to be identified and addressed.
The Solution
Rhodes Bake-N-Serv implemented Domo, a data visualization and management tool, to improve its data gathering and sharing process. With Domo, the company was able to dump in as many data points as needed and have them visible in 20 minutes, saving significant time in building spreadsheets. The tool also allowed the company to monitor every single batch they produce in real-time, enabling them to identify and address any problems quickly. Additionally, Domo was used to track customer service data, helping the company to see trends and address specific scenarios more quickly.
Operational Impact
Quantitative Benefit
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