Automated Data Integration for the Online Retail Industry: Supporting Fashionette to Realize Their Data-Driven Goals
Company Size
200-1,000
Region
- Europe
Country
- Germany
Product
- Adverity
Tech Stack
- Data Integration
- Data Visualization
- Marketing Data Warehouse
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Innovation Output
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Demand Planning & Forecasting
- Retail Store Automation
- Supply Chain Visibility
Services
- Data Science Services
- System Integration
About The Customer
Fashionette is a young German ecommerce company, which sells designer handbags through its online shop. The company was founded in 2008 and has overseen impressive growth since its founding. Fashionette has established itself as the largest online retailer specializing in selling designer bags in German-speaking markets. The company achieved its position as a market leader by offering a broad product range curated by fashion experts, as well as implementing eyecatching marketing activities - ranging from influencer marketing to more classical forms of online and offline advertising. Moreover, Fashionette’s corporate philosophy ensures that customer satisfaction remains at the very top of its priorities.
The Challenge
Fashionette, a German ecommerce company specializing in designer handbags, aimed to become a digital pioneer in its core markets. The management team envisioned smart data as the driving force behind this ambition to accelerate decision making, as well as further growth and innovation. The marketing strategy needed a highly sophisticated tool to truly realize such an ambitious goal. For its data-driven daily business, the marketing team needed to integrate over 40 different data sources. To paint a holistic picture of all advertising activities and to analyze their ROI, it was necessary to connect data from all these marketing tools within one system. Combining such data with sales and logistics KPIs was essential for the management team to continue to make the right decisions and lead the company in the right direction.
The Solution
The collaboration between Fashionette and Adverity started in 2018 after project leaders decided to invest in a modernized IT infrastructure and a dedicated marketing data warehouse. This has allowed the team at Fashionette to visualize their data in individual dashboards that have been tailor-made according to specific user groups and hierarchies - from operational staff to the management board. After implementing these new tools, significant changes were made to the workflows in many departments: instead of logging into different tools, downloading reports and copy- pasting the numbers into sheets, the relevant data was literally waiting for its users in the dashboards, without anyone having to take care of it. Daily reports are automatically updated and sent to each stakeholder, where the most important KPIs are displayed visually and connected to other data streams to deliver quick and meaningful insights.
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
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.
