Download PDF
Fleura builds knowledge paradise using information from QlikView
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
Applicable Functions
- Human Resources
Use Cases
- Supply Chain Visibility
- Inventory Management
Services
- Data Science Services
- System Integration
The Challenge
Fleura Export B.V., a Dutch importer and exporter of cut flowers and cut foliage, was facing challenges due to its complex organizational structure. The company, which is managed centrally, has buying subsidies and sales offices in various countries, a range of operations, and different IT systems. This complexity was increasingly impacting the company’s course of business. The company's information provision had turned into chaos with scores of Excel reports and emails complicating the management of the company. In early 2006, Fleura started looking for a Business Intelligence (BI) solution with a consolidation tool for its financial reports and a reporting tool for its buying subsidies to replace the obsolete Oracle solution it was using. The company wanted a cutting-edge product which would be easy to use, fast to implement and self-explanatory, therefore requiring no extensive training given the complex structure of its organization.
About The Customer
Fleura Export B.V. was established in 1970 and is one of the largest Dutch importers and exporters of cut flowers and cut foliage. Its headquarters and wholesale warehouse are based in Aalsmeer, The Netherlands. The group achieves a large part of its sales through a tight network of 46 of its own branches with a predominantly Cash & Carry function. Through this proven and powerful concept Fleura has been market leader for many years in Germany and The Netherlands; and the expansion is continuing with Austria, Italy, Poland and the Czech Republic opening up new markets. The transport organization, consisting of 75 drivers, ensures that the products are delivered daily, on time and cooled. Fleura employs over 700 people and generates annual sales of around €200 million.
The Solution
Fleura opted for QlikView as their Business Intelligence (BI) solution. The first step in the implementation process was to streamline their data structure. They unified all the financial reports from the various countries and systems and incorporated them into a single Excel report. This data was exported to their central SQL Server database, which acts as the source for QlikView. They built a total of three applications, the first one being a financial application. The second application was an operational application for their buying subsidies. With QlikView, they could easily disclose this data, drill down to detail level, and gain new insights. Finally, they developed an ADP-based HRM application to track data such as overtime, productivity and sick leave per employee.
Operational Impact
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.