• >
  • >
  • >
  • >
  • >

实例探究.

添加案例

我们的案例数据库覆盖了全球物联网生态系统中的 22,657 家解决方案供应商。
您可以通过筛选条件进行快速浏览。

Download Excel
筛选条件
  • (2)
    • (2)
  • (1)
    • (1)
  • (4)
  • (3)
  • (1)
  • (5)
  • (3)
  • (3)
  • (2)
  • (3)
  • (3)
  • (2)
  • (5)
Selected Filters
5 实例探究
排序方式:
Global QSR achieves faster drive-thru with award-winning location technology - Bluedot Industrial IoT Case Study
Global QSR achieves faster drive-thru with award-winning location technology
The drive-thru experience is a critical focus area for Quick Service Restaurants (QSRs), but it continues to be a point of friction for customers, especially during peak times. According to QSR Magazine’s 2019 Drive-Thru Study, drive-thru wait times increased by an average of 20 seconds. Dunkin’, a global QSR, wanted to buck this trend by creating a truly frictionless experience in the drive-thru lane. The executive team envisioned a Frictionless Drive-Thru (FDT) that would take mobile orders to the next level using location. The challenge was finding an advanced location solution that was easy to deploy and scale across hundreds of stores, precise and accurate down to a single drive-thru lane for order sequencing and timing, and optimized for guest experience to prevent app deletion - such as minimizing battery drain.
下载PDF
Precise location technology empowers LOKE to launch mobile payments app for major global bank - Bluedot Industrial IoT Case Study
Precise location technology empowers LOKE to launch mobile payments app for major global bank
LOKE, a leader in mobile loyalty and payments, was tasked with building a mobile payments app for one of the world’s 25 largest banks. The app was intended to serve as a digital wallet and smart-ordering service for Australian Football League (AFL) fans, allowing them to order, pay for, and pick up food and drinks without waiting in line at major stadiums. The challenge was to incorporate accurate location services that would recognize when fans at stadiums were on their way to pick up their order and send a notification to the merchant. Additionally, the company needed to provide the bank with real-time, proximity-based data to optimize the experience for bank customers.
下载PDF
Accurate foot traffic attribution saves clients millions in ad spend - Bluedot Industrial IoT Case Study
Accurate foot traffic attribution saves clients millions in ad spend
Beatgrid Media, a media measurement technology company, was facing several challenges. They needed to create a single source of data for all media channels and match offline TV, radio, digital video, and out-of-home (OOH) campaigns to retail foot traffic. They also needed to minimize battery drain from their 'always on' app and boost attribution accuracy. The company was looking for a solution that could be added to their Automatic Content Recognition (ACR) technology to capture real foot traffic for ad attribution and industry benchmark purposes.
下载PDF
How a national quick service restaurant chain uses location to drive loyalty and customer experience - Bluedot Industrial IoT Case Study
How a national quick service restaurant chain uses location to drive loyalty and customer experience
Craveable Brands, the largest Australian-owned quick service restaurant operator, faced several challenges. They wanted to improve the overall customer experience and increase mobile engagement in their loyalty programs. They also aimed to measure average visit duration, time of visit, and queue time in the drive-thru line, gauge the level of customer satisfaction, increase customer frequency, remind customers of their loyalty card at the time of purchase, and determine how customers engage with competitors. To address these priorities, they needed to unlock their customers’ location (and dwell time) and create personalized journeys to increase repeat business.
下载PDF
How a fast casual restaurant chain uses location to cut order times and turn guests into raving fans - Bluedot Industrial IoT Case Study
How a fast casual restaurant chain uses location to cut order times and turn guests into raving fans
McAlister’s Deli, a fast casual restaurant chain with over 400 restaurants in 28 states, was looking to streamline its customer experience, improve staff efficiency, and wow guests, especially first-timers. They wanted to prioritize orders for freshly prepared food. To achieve these objectives, they needed to understand the physical behavior of their guests and optimize their service based on those behaviors.
下载PDF
  • 1
  • of 1

联系我们

欢迎与我们交流!
* Required
* Required
* Required
* Invalid email address
提交此表单,即表示您同意 Asia Growth Partners 可以与您联系并分享洞察和营销信息。
不,谢谢,我不想收到来自 Asia Growth Partners 的任何营销电子邮件。
提交

感谢您的信息!
我们会很快与你取得联系。