Rising to Challenges of International Expansion through Smart Delivery
公司规模
1,000+
国家
- United Kingdom
产品
- MetaPack Manager
技术栈
- API
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 应用基础设施与中间件 - API 集成与管理
- 平台即服务 (PaaS) - 连接平台
适用行业
- 电子商务
- 零售
适用功能
- 物流运输
- 销售与市场营销
用例
- 库存管理
- 供应链可见性(SCV)
服务
- 软件设计与工程服务
- 系统集成
关于客户
ASOS is an online fashion and beauty retailer that was established in 2000. The company's websites attract 29.5 million unique visitors a month. ASOS has a global presence, selling over 65,000 products to over 230 countries from its 1.1 million square foot global distribution centre. The company's head office is located in London. ASOS is known for its exceptional growth worldwide, which has led to an increase in the volume of deliveries and destinations. The company's goal is to grow global sales, manage the increased volume in deliveries and destinations, complete data and documentation requirements with minimal manual intervention, and achieve the best pricing for international carriers.
挑战
ASOS, an online fashion and beauty retailer, was facing complications in international delivery, particularly in documentation and data. The requirements for these vary by country of destination, adding to the complexity. The company’s international delivery processes required manual intervention to regularly contact carriers and update prices within the ASOS fulfilment systems, as well as paperwork for each order to meet necessary customs regulations. ASOS wanted to manage its increased volume in deliveries and destinations, minimise manual tasks and paperwork, and achieve the best price for carriers around the globe.
解决方案
ASOS partnered with MetaPack to develop an automated solution integrated with the company’s own order processing and fulfilment systems that was capable of automatically dealing with the nuances of international shipping. To calculate the volumetric weight required for air freight, ASOS captures the exact size and weight dimensions of each order at the packing bench. This information, along with the country of destination and the exact contents of each package, is passed to MetaPack through an API. MetaPack's technology automatically determines the type of documentation and number of copies that are necessary to accompany the shipment. The correct documents are then printed automatically along with the appropriate carrier label. The process now in place takes complex decision-making tasks and the completion of any export documentation completely out of the operator’s hands.
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
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.
