Technology Category
- Functional Applications - Computerized Maintenance Management Systems (CMMS)
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Human Resources
- Maintenance
Use Cases
- Building Automation & Control
- Last Mile Delivery
Services
- Cloud Planning, Design & Implementation Services
- Testing & Certification
About The Customer
Better Milk is a dairy brand based in Taiwan, established in 2015. The brand has strived to build a “single-source” production model, with the belief that “better cows create better milk”. Founder Chien-Chia Kung formed professional production teams on dairy farms to ensure the quality of their milk right from the source. Better Milk insists on following four key principles: veterinary supervision, single-farm sources, no altered ingredients, and fair trade, to provide better dairy products for the market and for consumers. By creating a new food and agricultural ecosystem that consumers can trust, farmers can be proud of, and in which animals can be healthy, Better Milk is on the way to become the most influential dairy brand in Taiwan.
The Challenge
Better Milk, a Taiwan-based dairy brand, was facing challenges in integrating its offline transaction data with online user engagement data to create a more comprehensive customer profile. The brand was also struggling to enhance customer engagement and maintain its membership base. As the retail industry increasingly moved online, Better Milk needed to boost its online sales and customer loyalty. The brand was also looking to strengthen its collaboration with distributors and industry partners. However, the data from Better Milk’s offline distribution channels was highly dispersed, making it difficult to track offline customer profiles and strengthen distribution partnerships. The brand was using marketing tools that were excessively complicated and dispersed, requiring extra time and human resources to match and analyze data.
The Solution
Better Milk partnered with Appier to adopt its AIQUA, BotBonnie, and AiDeal solutions. These solutions helped the brand link its offline transaction data with online user engagement data, creating a more holistic customer profile. Appier assisted Better Milk in its digital transformation by collecting customer data from disparate sources. This allowed the brand to understand its customer profile and preferences, as well as take advantage of opportunities to communicate its brand message or special offers to fans. Appier provided a one-stop solution that simplified platform operations and management, reducing time and human resources required for follow-up marketing promotions. Better Milk also used Appier’s solutions to connect its offline consumer data with online user data and user behavior. This data allowed the brand to tag customer characteristics, helping it deepen customer communication and membership maintenance. The brand also utilized AIQUA to target consumers with web push, achieving a 16.7% unique conversion rate during the campaign.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
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
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
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
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.