Domo > Case Studies > Rhodes Bake-N-Serv Case Study

Rhodes Bake-N-Serv Case Study

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Company Size
200-1,000
Region
  • America
Country
  • United States
Product
  • Domo
Tech Stack
  • Data Visualization
  • Database Management
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Customer Satisfaction
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
  • Consumer Goods
Applicable Functions
  • Quality Assurance
Use Cases
  • Predictive Quality Analytics
  • Real-Time Location System (RTLS)
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
  • The implementation of Domo resulted in increased productivity, with the tool saving the company around 15 hours a month just in building spreadsheets.
  • The company was able to enhance its customer service by tracking every customer call in a database and using Domo to see trends and address specific scenarios more quickly.
  • Domo also improved manufacturing visibility and efficiency by allowing the company to monitor every single batch they produce in real-time and identify any problems quickly.
Quantitative Benefit
  • Domo saves the company around 15 hours a month in building spreadsheets.
  • The company can now identify a problem in manufacturing in two seconds, compared to a month before the implementation of Domo.

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