David’s Bridal uses Conversational Commerce to help customers plan the event of their dreams with ease
公司规模
Large Corporate
地区
- America
- Europe
国家
- United States
- United Kingdom
产品
- Conversational Commerce
- Interactive Voice Response
- Apple Business Chat
技术栈
- AI and automation
- SMS messaging
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Revenue Growth
技术
- 应用基础设施与中间件 - API 集成与管理
适用行业
- 零售
适用功能
- 销售与市场营销
用例
- 对话机器人
服务
- 软件设计与工程服务
关于客户
David’s Bridal is an international wedding dress destination with more than 330 stores throughout North America and the United Kingdom. Founded as a neighborhood bridal salon in Fort Lauderdale, Florida, nearly 70 years ago, the company has stayed true to its guiding principle that each bride deserves the wedding of her dreams. By working directly with top designers and manufacturers, David’s Bridal keeps costs low while maintaining high quality.
挑战
David’s Bridal, an international wedding dress destination, was facing a unique challenge. When shopping for wedding dresses, 50% of brides were calling stores to book appointments. If the stores were closed or sales agents couldn’t get to the phone in time, they were losing business. Agents sometimes had to step away from the brides they were helping to answer the phone, creating a poor experience for in-store customers. The company wanted to be available for customers 24/7 without having to add additional staff. They believed AI and automation could help and began looking at different chatbot providers.
解决方案
David’s Bridal first rolled out Interactive Voice Response (IVR) deflection in February 2019, giving customers calling into their 800 number the option to switch to SMS messaging. Within 30 days, 30% of callers were choosing to message instead. The company soon looked to other ways to shift call volume to messaging, including adding an SMS shortcode to their website’s contact us page. Automation was part of their strategy from the beginning. A concierge bot was rolled out to greet customers and route their inquiries to the right agent. An appointment bot was launched shortly after to give customers an automated way to book appointments at a local store. Later in 2019, David’s Bridal became one of the first retailers on Apple Business Chat, allowing brides to schedule appointments and ask questions through a rich messaging experience, which increased the Net Promoter Score (NPS) of customers using that channel. They also rolled out LivePerson’s secure forms feature, which allowed them to take payments over SMS and Apple Business Chat.
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.
