技术
- 平台即服务 (PaaS) - 应用开发平台
- 传感器 - 声学传感器
适用行业
- 消费品
- 零售
适用功能
- 物流运输
用例
- 最后一英里交付
- 零售店自动化
关于客户
JLab Audio 是一个屡获殊荣的消费音频品牌,经历了快速增长,其出货量从 2012 年到 2017 年增长了 10 倍。这种增长带来了巨大的挑战,因为它需要加大协调出货量的力度以及利益相关者之间的更多协调。该公司向竞争激烈的零售领域扩张还需要可靠、高效的供应链。然而,JLab 的传统货运代理无法提供有效管理这种增长所需的实时更新和可见性。
挑战
JLab Audio 是一家屡获殊荣的消费音频品牌,它面临着重大挑战,从 2012 年到 2017 年,其出货量增长了 10 倍。这种快速增长需要付出十倍的努力来协调出货,从而消耗了原本可以节省的宝贵时间和资源。分配给战略举措。此外,该公司向竞争激烈的零售领域的扩张需要越来越多的利益相关者之间加强协调。维护有关发货状态的最新信息对于建立作为可靠供应商的信任至关重要。然而,与传统货运代理的合作加剧了这些挑战,因为 JLab 的大部分供应链都是通过电子表格和电子邮件交换而不是实时更新来跟踪的。
解决方案
JLab Audio 与数字货运代理公司 Flexport 合作,以获得与行业巨头竞争所需的可见性和控制力。 Flexport 的平台将所有货运文件、通知和生命周期事件数字化在一个中央平台中。该数字解决方案使从 SKU 分销到到岸成本分析的一切都变得更加高效。该平台使 JLab 能够管理其增加的发货量,而无需额外的人员或资源。通过改用 Flexport,JLab 能够简化运营、提高供应链可视性并轻松扩展分销规模。
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 Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
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.