技术
- 传感器 - 全球定位系统
适用行业
- 城市与自治市
- 食品与饮料
用例
- 供应链可见性(SCV)
- 时间敏感网络
服务
- 培训
关于客户
Ellen Chew 是伦敦一位著名的餐馆老板,以其充满活力和令人兴奋的东南亚和欧洲烹饪而闻名。她于 2008 年首次崭露头角,在唐人街开设了一家马来西亚和新加坡餐厅 Rasa Sayang。从那时起,她通过Chew On This系列餐厅扩大了她的烹饪帝国,其中包括Rasa Sayang、Mrs Chew's Chinese Kitchen、Shan Shui、Lotus Leaf、Arôme Bakery、Negronis和Lobos Tapas。这些餐厅遍布英国各地,包括伦敦、伯明翰、Westfield White City、比斯特村、Westfield Stratford、Soho、Frith Street 和希思罗机场。艾伦和她的团队为自己能够在英国各地构思令人兴奋的食品概念而感到自豪,展示了巨大的多样性和活力。
挑战
Ellen Chew 是伦敦一家领先的餐厅老板,她和 Chew On This Group 的团队在管理不断扩大的餐厅数量时面临着重大的运营挑战。他们之前使用的软件未能有效履行其运营职责或提高员工敬业度和客户服务。因此,他们恢复了手动操作。经理们使用 Excel 创建每周轮值表,并手动跟踪所有员工的时间和出勤情况。员工将工作时间记录在一张纸上,然后必须手动将其输入工资单,这会消耗大量时间。通常,员工会忘记记录他们的工作时间,从而导致进一步的延误和沟通问题,以确定正确的工作时间。手动计算还导致工资单容易出错并带来很多挫败感。
解决方案
The Chew On This Group 实施了 Bizimply 的日程安排功能,该功能改变了每个地点的经理完成日程安排的方式。该功能允许创建流行的班次,将这些自定义班次简单地拖放到时间表上,以及每个部门的成本的详细概述。这使管理人员能够更深入地了解其所在地点的运营方式,并节省了所有地点的劳动力成本。该软件还消除了所有手动薪资流程,将薪资时间减少了 10%。这使得管理者能够更加关注他们的团队,并激励更多的团队培训,以创造更好的客户体验。到位的工资单工作流程会自动从 Bizimply Timestation 导出时钟数据,防止人为错误并节省管理工作上花费的无数时间。考勤打卡系统提供了每个地点的完全透明度和可视性。
运营影响
数量效益
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
Turning A Stadium Into A Smart Building
Honeywell created what it called the “intelligent system” for the National Stadium in Beijing, China, turning the venue for the opening and closing events at the 2008 Summer Olympics into a “smart building.” Designed by highly controversial artist Ai Weiwei, the “Bird’s Nest” remains one of the most impressive feats of stadium architecture in the world. The 250,000 square meter structure housed more than 100,000 athletes and spectators at a time. To accommodate such capacity, China turned to Honeywell’s EBI Integrated Building Management System to create an integrated “intelligent system” for improved building security, safety and energy efficiency.
Case Study
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Case Study
Smart Street Light Network (Copenhagen)
Key stakeholders are taking a comprehensive approach to rethinking smart city innovation. City leaders have collaborated through partnerships involving government, research institutions and solution providers. The Copenhagen Solutions Lab is one of the leading organizations at the forefront of this movement. By bringing together manufacturers with municipal buyers, the Copenhagen Solutions Lab has catalyzed the development and deployment of next-generation smart city innovations. Copenhagen is leveraging this unique approach to accelerate the implementation of smart city solutions. One of the primary focus areas is LED street lighting.
Case Study
HEINEKEN Uses the Cloud to Reach 10.5 Million Consumers
For 2012 campaign, the Bond promotion, it planned to launch the campaign at the same time everywhere on the planet. That created unprecedented challenges for HEINEKEN—nowhere more so than in its technology operation. The primary digital content for the campaign was a 100-megabyte movie that had to play flawlessly for millions of viewers worldwide. After all, Bond never fails. No one was going to tolerate a technology failure that might bruise his brand.Previously, HEINEKEN had supported digital media at its outsourced datacenter. But that datacenter lacked the computing resources HEINEKEN needed, and building them—especially to support peak traffic that would total millions of simultaneous hits—would have been both time-consuming and expensive. Nor would it have provided the geographic reach that HEINEKEN needed to minimize latency worldwide.
Case Study
Buoy Status Monitoring with LoRa
The Netherlands are well-known for their inland waterways, canals, sluices and of course port activities. The Dutch Ministry of Infrastructure indicates that there are thousands of buoys and fixed items in and near water environments that would profit from IoT monitoring. One of the problems with buoys for example, is that they get hit by ships and the anchor cable breaks. Without connectivity, it takes quite some time to find out that something has happened with that buoy. Not to mention the costs of renting a boat to go to the buoy to fix it. Another important issue, is that there is no real-time monitoring of the buoys at this moment. Only by physically visiting the object on the water, one gains insight in its status.