WatchBox launches eCommerce 50% faster in new markets
公司规模
1,000+
地区
- America
- Asia
- Europe
- Middle East
国家
- European Union
- Singapore
- United States
产品
- MuleSoft’s Anypoint Platform
- Salesforce Commerce Cloud
技术栈
- APIs
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
- 零售
适用功能
- 商业运营
- 销售与市场营销
服务
- 系统集成
关于客户
WatchBox is the world’s leading company for buying, selling, and trading pre-owned luxury watches. The company has a global presence and generates more than $200M in revenue. The success of WatchBox relies on its ability to expose its inventory to as many customers as possible for quick resale. To achieve this, the company decided to move beyond brick-and-mortar retail and scale its business internationally via eCommerce. This required the creation of a powerful eCommerce experience that could support rapid expansion and pull critical inventory data from legacy and homegrown systems.
挑战
WatchBox, a leading company for buying, selling, and trading pre-owned luxury watches, wanted to scale its business internationally via eCommerce. The company's success relied on exposing its inventory to as many customers as possible for quick resale. This required creating a powerful eCommerce experience that not only allows for rapid expansion but also pulls critical inventory data from legacy and homegrown systems. The objectives were to create an eCommerce platform that allows for rapid expansion into new regions, unlock and unify data from legacy and homegrown systems, and build standardized eCommerce processes that support quick inventory turnover.
解决方案
To achieve its objectives, WatchBox turned to MuleSoft’s Anypoint Platform™ to roll out eCommerce sites, powered by Salesforce Commerce Cloud, for the United States and European Union. WatchBox combined inventory data with its product catalogs and pricing information in Salesforce Commerce Cloud — surfacing local product information and product availability in the right currency and language for each market. After rapidly building APIs, the WatchBox team used Anypoint Platform to test them and ensure they meet the company’s security, scalability, and reliability standards. Within six months, the company stood up an eCommerce platform that supports customers in both the U.S. and E.U. The WatchBox team then reused the same APIs, such as its Inventory API and Pricing API, to deliver eCommerce experiences to new markets much faster.
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.
