Customer Company Size
Mid-size Company
Region
- Europe
Country
- Denmark
Product
- Google Cloud
- Vertex AI Vision
- Vision API
- Compute Engine
Tech Stack
- Terraform
- Ansible
- Google Cloud Storage
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Computer Vision Software
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Retail
- E-Commerce
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Visual Quality Detection
- Inventory Management
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- Software Design & Engineering Services
About The Customer
Miinto is a fashion platform that aggregates over 1,000 of the world's best boutiques, offering a curated selection of premium, luxury, and local brands tailored to individual user preferences. The platform provides independent stores with a wider audience, enabling them to reach hundreds of thousands of global visitors daily. Miinto's data platform assists stores in making crucial business decisions, such as selecting the right stock for upcoming seasons. The company aims to be the most customer-centric fashion platform, leveraging technology to enhance user experience and expand market reach. Miinto transitioned to Google Cloud in 2021 to address infrastructure challenges and improve operational efficiency.
The Challenge
Miinto faced significant challenges in managing inventory duplication, which affected customer experience and sales. The company's original technology stack was fragmented, leading to inefficiencies, and their local cloud platform was slowing down operations. The retail industry, particularly e-commerce, is highly seasonal, with peaks during events like Black Friday, which put stress on Miinto's infrastructure. The need for speed and scalability was critical to handle these demands effectively. Additionally, the manual process of checking for duplicate products was time-consuming and created bottlenecks, impacting time to market and conversion rates.
The Solution
Miinto implemented Google Cloud's Vertex AI Vision to address the issue of inventory duplication. The Vision API product search, part of Discovery AI for Retail, was integrated with Miinto's arrival service to process incoming data from partners. This allowed Miinto to identify and merge duplicate products based on image similarity, streamlining the product creation process. The company also developed a visual search service (VSS) to index and synchronize product images, enhancing the efficiency of detecting duplicates. By automating these processes, Miinto reduced manual operations, improved processing times, and enhanced the overall customer experience.
Operational Impact
Quantitative Benefit
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