SNA Displays: Changing Sales and Service via Domotz
公司规模
1,000+
地区
- America
国家
- United States
产品
- Domotz
技术栈
- Automated Service Model
- Proactive Monitoring
- Network Integration
实施规模
- Enterprise-wide Deployment
影响指标
- Brand Awareness
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 功能应用 - 远程监控系统
- 网络与连接 - 网络管理和分析软件
适用行业
- 零售
适用功能
- 商业运营
- 销售与市场营销
用例
- 预测性维护
- 实时定位系统 (RTLS)
- 远程资产管理
服务
- 软件设计与工程服务
- 系统集成
关于客户
SNA Displays brings creative visions to life by building high-end digital displays as vivid and dynamic as the imagination. SNA Displays employs a team of SNAPros—engineers, skilled project managers, systems experts, installation managers, and support staff—whose mission is total project satisfaction. Headquartered in Times Square, SNA Displays has worked with clients to design and build some of the largest and most recognizable digital spectaculars in the world.
挑战
SNA Displays has built a reputation around amazing displays and amazing service. In a digital world that never sleeps, displays must be running twenty-four hours a day and seven days every week. If a display goes down, revenues generated by the display go down with it. SNA Displays understands this and built an automated and proactive service model to address critical service needs with assistance from Domotz. Before the SNAPros can start designing and creating, the sales team needs to win that project. While SNA Displays’ reputation carries a lot of weight, customer demands are increasing, along with expectations of rapid response. The SNA Displays sales team built a sales solution around service, the very service that Domotz was providing the SNAPros.
解决方案
The SNA Displays team goes big, real big! The systems they are deploying are very large and complex with hundreds, if not thousands of components. Each system deployed is connected to a complex network that needs to be running twenty-four hours a day. Due to the complexity of each system and the volume of systems SNA Displays deploys, the Domotz service was an obvious choice to provide the scale and automation the company needed. Each SNA Displays deployment includes a Domotz agent as part of the total solution, allowing the SNAPros team to act quickly and respond to any technical issue that arises. Domotz integrates easily to connect complex system deployments and transform the data into an easy-to-use format. This allows SNA Displays to maintain maximum uptime and enable proactive service when any issue is detected and alerted.
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
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
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
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
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.
