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SmarterData: Helping retailers redefine practices for the digital age
技术
- 平台即服务 (PaaS) - 数据管理平台
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
- 零售店自动化
服务
- 数据科学服务
挑战
SmarterData 是一家总部位于加利福尼亚州圣拉蒙的公司,该公司希望帮助客户应对数字时代零售业的不确定性。该公司旨在寻找新方法来提供相关、可操作、数据驱动的消费者行为洞察。随着在线零售业的持续增长,许多传统零售商发现自己难以跟上步伐。在当今的数字经济中,各种规模的公司都必须管理和利用数字化转型才能生存。SmarterData 提供一系列预测和规范分析服务 - 包括帮助消费者找到产品的创新移动应用程序,以及帮助零售商实时洞察商店运营情况的创新移动应用程序。
关于客户
SmarterData, Inc. 是一家总部位于加利福尼亚州圣拉蒙的公司。该公司利用先进的数据科学技术(预测和规范分析)帮助公司在线上和零售环境中与客户建立联系,并管理数字时代业务挑战的需求。该公司的口号是“与时俱进”,旨在帮助那些在当今竞争激烈的零售市场中苦苦挣扎的公司。SmarterData 帮助零售商从其现有系统已经记录的大量数据中提取价值。虽然这些数据集通常很“嘈杂”,但如果您使用正确的技巧和技术,就有可能从消费者行为中提取有价值的见解。
解决方案
SmarterData 使用 IBM Analytics for Apache Spark 提供智能应用程序,这些应用程序结合了运营数据和上下文数据,帮助零售商了解消费者的行为和需求。该公司选择 IBM Bluemix 作为其分析应用程序的开发和部署平台,并选择 IBM Analytics for Apache Spark(IBM 用于大数据分析的托管 Spark 服务)。完全托管的 Spark 服务简化了 Spark 操作,并与 Bluemix 平台上其他云数据和分析服务以及第三方工具的丰富生态系统集成。SmarterData 开发了一款面向消费者的应用程序,它不仅根据购买历史提供产品推荐,还从第三方来源(如 The Weather Company)提取上下文数据。这些上下文数据使得在特定情况下提供可能特别吸引消费者的优惠成为可能。
运营影响
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.