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Domo > Case Studies > Purchasing Power's Efficiency Improvement with Domo
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Purchasing Power's Efficiency Improvement with Domo

Technology Category
  • Analytics & Modeling - Real Time Analytics
Applicable Industries
  • Retail
Applicable Functions
  • Business Operation
  • Sales & Marketing
Use Cases
  • Real-Time Location System (RTLS)
  • Retail Store Automation
Services
  • Data Science Services
The Challenge
Purchasing Power, a successful online retailer, was facing challenges in communicating metrics to company stakeholders as it required too much human intervention. The decision-makers in the company also needed mobile access to their data for convenience and efficiency. The company was seeking a solution that could streamline the process of data access and sharing, and provide real-time insights for immediate action.
About The Customer
Purchasing Power is a specialty e-retailer based in Atlanta, GA. The company offers client organization workers/members the opportunity to purchase consumer products and services through an industry-leading voluntary benefit. As an online retailer, Purchasing Power heavily relies on data for its operations and decision-making processes. The company needed a solution that could provide direct, mobile access to key performance indicators (KPIs) and enable efficient communication of metrics to company stakeholders.
The Solution
Purchasing Power implemented Domo, a platform that provides real-time data analytics and visualization. With Domo, the company was able to save at least 20 hours per month, as most of the data was already in the platform, making it easier to create and share data cards. The platform also provided executives and stakeholders with direct access to KPIs, enabling them to access data anytime, anywhere, even on their smartphones. The call center manager uses Domo to monitor service calls and address service issues promptly. The platform also allows the company to monitor the state of the business in real-time, enabling them to detect and address issues quickly.
Operational Impact
  • Improved efficiency in data management and sharing, saving at least 20 hours per month.
  • Executives and stakeholders gained direct, mobile access to KPIs, enabling them to access data anytime, anywhere.
  • The call center manager was able to monitor service calls and address service issues promptly.
Quantitative Benefit
  • Saved at least 20 hours per month in data management and sharing.

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