PUMA Transforms Product Campaign Development with Google Cloud's Generative AI
公司规模
Large Corporate
地区
- Europe
- America
- Asia
国家
- Germany
- United States
- Japan
产品
- Imagen on Vertex AI
- Google Cloud's Vertex AI Search for Retail
- Imagen 3
技术栈
- Generative AI
- AI Imagery
- Text-to-Image Model
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Revenue Growth
技术
- 分析与建模 - Generative AI
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 零售
- 电子商务
适用功能
- 销售与市场营销
- 商业运营
用例
- 数字孪生
- Generative AI
- 补货预测
服务
- 云规划/设计/实施服务
- 软件设计与工程服务
关于客户
PUMA is one of the world's leading sports brands, known for designing, developing, selling, and marketing footwear, apparel, and accessories. With a history spanning over 75 years, PUMA has consistently pushed the boundaries of sport and culture by creating fast products for the world's fastest athletes. The company offers performance and sport-inspired lifestyle products in various categories, including Football, Running and Training, Basketball, Golf, and Motorsports. PUMA collaborates with renowned designers and brands to infuse sport influences into street culture and fashion. The PUMA Group owns the brands PUMA, Cobra Golf, and stichd, distributing its products in more than 120 countries. Headquartered in Herzogenaurach, Germany, PUMA employs approximately 20,000 people worldwide, making it a significant player in the global sports industry.
挑战
PUMA faces the challenge of launching thousands of new products on its e-commerce site every year, requiring a streamlined and efficient process to manage product imagery and campaign development. The company aims to enhance the digital shopping experience for its consumers worldwide by leveraging advanced technologies. PUMA's goal is to improve click-through rates and accelerate the time-to-market for its digital campaigns globally. Additionally, PUMA seeks to tailor content to specific market needs, providing personalized and relevant imagery for different regions, such as Japan. The challenge is to integrate these capabilities into their existing e-commerce ecosystem and achieve significant benefits across their online shopping portfolio.
解决方案
PUMA has partnered with Google Cloud to enhance its digital shopping experience using generative AI technology. By utilizing Imagen on Vertex AI, PUMA can create dynamic and personalized product imagery, improving click-through rates and accelerating the time-to-market for digital campaigns. This technology allows PUMA to generate relevant imagery tailored to the product, customer, and region, providing a more personalized shopping experience. For instance, customers in Japan may see lifestyle shoes in a local context, such as the streets of Ginza or the foothills of Mt. Fuji. Beyond image generation, Imagen on Vertex AI also aids PUMA content editors with image editing tasks, such as shadowing, composition, color accuracy, resolution, and product positioning. Since migrating its e-commerce ecosystem to Google Cloud, PUMA has experienced significant benefits, including increased average order value (AOV) and reduced time to market. The company plans to explore Imagen 3, Google Cloud's latest text-to-image model, to further advance and scale campaign creation. Additionally, PUMA intends to expand the implementation of Google Cloud's Vertex AI Search for Retail to more subsidiaries, aiming to improve AOV and overall shopper conversion rates.
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
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.
