公司规模
Large Corporate
地区
- Europe
国家
- United Kingdom
产品
- Blue Yonder’s Luminate Pricing Real Time
技术栈
- Artificial Intelligence
- Machine Learning
- Cloud Computing
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 预测分析
适用行业
- 零售
适用功能
- 销售与市场营销
- 商业运营
用例
- 补货预测
- 需求计划与预测
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
Morrisons 是英国最大的杂货店之一,经营着近 500 家门店,每周为 1100 万名顾客提供服务。该公司以其独特的店内体验而自豪,即市场街,其中包括新鲜食品柜台,提供各种产品,如新鲜肉食、海鲜、熟食和烘焙食品。然而,这些新鲜产品的保质期较短,这对该公司来说是一个挑战,因为它每天要进行三次手动降价活动。这个过程不仅劳动密集,而且经常导致价格过低,侵蚀利润,或过高,导致产品卖不出去。
挑战
Morrisons 是英国最大的杂货店之一,经营着近 500 家门店,每周为 1100 万名顾客提供服务。该公司以其店内特色商店 Market Street 为傲,其中包括提供新鲜肉食、海鲜、熟食和烘焙产品的生鲜食品柜台。然而,由于新鲜产品的保质期相对较短,Morrisons 每天要进行三次手动降价活动。通常,价格太低会侵蚀利润,或者相反,价格太高会导致产品无法出售。该公司估计,通过采用自动化、优化的定价解决方案,可以节省数百万英镑的人工成本。
解决方案
Morrisons 与 Blue Yonder 合作实施 Luminate 实时定价,这是一种自动化、科学的新鲜食品降价方法。该解决方案利用机器学习算法来考虑特定商店的需求、价格弹性和库存数据,以自动实现最大利润,同时力争在一天结束前清空所有降价库存。该解决方案通过 Blue Yonder 的云交付模型提供,该模型资本少,使 Morrisons 能够以更快的速度行动。此外,该解决方案与员工的手持设备集成,以支持移动性和响应能力。该解决方案在几毫秒内提供直接响应,提供最佳新价格和相应的折扣百分比。
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
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.