Vinomofo's Transformation with Domo
Customer Company Size
SME
Region
- Pacific
Country
- Australia
Product
- Domo
Tech Stack
- Google Analytics
- Email Service Platform
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Retail
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Supply Chain Visibility
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
Vinomofo is an online wine retailer based in Melbourne, Australia. The company was founded by two brothers-in-law, Justin Dry and Andre Eikmeier, in 2011. Vinomofo offers daily wine deals emailed to some 120,000 customers in Australia, New Zealand, and Singapore. The company prides itself on offering 'epic deals' and selling 'only wines we love,' with a cheeky panache. Before implementing Domo, Vinomofo's data was locked in its custom-built website, and executives had to request data from the web team, which often led to delays and hindered decision-making.
The Challenge
Vinomofo, an online wine retailer, was facing challenges with data accessibility. The company's data was locked in its custom-built website, and whenever executives needed data for marketing segmentation or other purposes, they had to request it from the web team. However, the web team was often occupied with other projects, making it difficult for executives to obtain the necessary data. This lack of easy access to data hindered the executives from making informed business and sales decisions. The company was in need of a solution that would allow them to take ownership of their data and have a one-stop shop for all data access.
The Solution
Vinomofo implemented Domo, a platform that liberated the company's data from its website, making it easily accessible and delivered in near real-time to marketing and C-level executives. With Domo, users could create their own data reports, customized to what they needed to know in their particular roles. The marketing team was able to create its own performance reports that drew data from the website’s Google Analytics and email service platform, among other sources. The CFO built her own weekly report that displayed revenue by channel, year over year sales, and sales by month and by customers, as well as customer order metrics, such as wine cases per order and average case value.
Operational Impact
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
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
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.
