Customer Company Size
SME
Region
- America
Country
- United States
Product
- Domo Everywhere
Tech Stack
- Data Analytics
- Real-time Reporting
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
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
Webata is a company that leverages dozens of data sources to help brands track which of their products are available online, how their supply chains are distributing products, and if their products are showing up during searches. The company provides the data and insights required to optimize digital shelf performance, product presentation, marketing, promotional materials, and more for brands selling through Walmart.com, one of the top ecommerce platforms in the US. Webata's clients include some of the largest consumer goods brands in the world, which means they can have thousands of products for sale on Walmart.com.
The Challenge
Webata, a company that provides data and insights to optimize digital shelf performance, product presentation, marketing, promotional materials, and more for brands selling through Walmart.com, faced the challenge of sharing real-time data with its clients. The company needed to provide its clients with the ability to make data-driven decisions to improve their Walmart eComm business. The challenge was to create reports and dashboards that are populated with the most current data, allowing clients to self-serve insights without wait or technical knowledge.
The Solution
Webata uses Domo Everywhere to provide descriptive and prescriptive insights into a brand’s experience on the Walmart ecommerce platform. The descriptive side helps quantify the shelf share of a brand, while the prescriptive side allows determining the impact that improvements in content creation, keyword inclusion or keyword bidding will have on their shelf share. Brand managers can easily see how their products are selling both at the national level and at a store-by-store level, whether products are being shipped to a house or picked up at a store, and if in-store inventory is keeping pace with online pickup demand. Another dashboard shows how products are leveraging keywords to rank in search results compared to other products in the category, in addition to showing the impact of paid marketing efforts on sales. Clients can then use this data to make informed decisions about everything from keyword targeting and bid size to product page optimization.
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.