Online power tool retailer uses LivePerson’s Analytics Driven Engagement service to optimize LP Chat program
公司规模
Mid-size Company
地区
- Europe
国家
- United Kingdom
产品
- LivePerson’s Analytics Driven Engagement
- LP Chat for Small Business
技术栈
- Google Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Customer Satisfaction
技术
- 平台即服务 (PaaS) - 连接平台
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
- 数据科学服务
关于客户
TOOLSTOP is one of the United Kingdom’s largest independent commercial retailers and distributors of professional hand and power tools, access and storage equipment, personal protective wear, and related products. The company has been in operation for 44 years and has grown to become a leading specialist supplier to the building and construction trade, professional tradesmen, and DIY enthusiasts. TOOLSTOP operates from two warehouses with a combined area of 82,000 square feet. The company also runs an online retail store aimed at serving professional tradespeople who need quality, high-end power and hand tools delivered quickly, on time, and at competitive prices.
挑战
TOOLSTOP, a UK-based online retailer of professional hand and power tools, was looking to enhance its customers' online shopping experiences. While the company had various channels for customer engagement, including email, Facebook, and a blog, it recognized the potential of real-time interaction with product experts to address customer queries about pricing, shipping, and technical details. TOOLSTOP had already implemented LivePerson’s LP Chat for Small Business solution on its website, which significantly increased sales conversions. However, the company wanted to further optimize their chat initiative without a significant investment in time and resources.
解决方案
TOOLSTOP decided to integrate LivePerson’s Analytics Driven Engagement (ADE) service with their existing chat program. ADE collects and analyzes data from Google Analytics to intelligently create rules controlling proactive chat invitations. The service was deployed quickly and began analyzing TOOLSTOP’s website within minutes, assigning scores to each webpage and determining the optimal timing for chat engagement on each page. ADE found that customers were most likely to benefit from proactive chat assistance when browsing specific product pages. As a result, TOOLSTOP representatives could automatically target customers browsing high-value items and preemptively assist with the product selection process, address technical questions, and secure the most competitive pricing possible. The agents also gained insight at the start of the chat into which make and model the customer was browsing, enabling more effective cross-selling and up-selling.
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.