Toshiba TEC reduces inventory differences at EDEKA Hessenring with QlikView
Customer Company Size
Large Corporate
Region
- Europe
Country
- Germany
Product
- storeMate loss prevention
- QlikView
- QlikView Server
Tech Stack
- Business Intelligence
- Data Analysis
- POS Systems
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Waste Reduction
- Fraud Detection
Services
- Data Science Services
- System Integration
About The Customer
TOSHIBA TEC Europe is one of the leading manufacturers of information systems for business and industry. They offer a comprehensive service package to their customers, which includes consultation, system development, system installation, operation, and management of cashier systems, cash registers, scales, barcode printers, peripheral, and software information systems. One of their clients is the EDEKA Hessenring Group, part of Germany's number one food retailer, the EDEKA Group. EDEKA Hessenring focuses on north and central Hessia, western Thuringia, and southern Lower Saxony. The EDEKA Group has a large and varied range of equipment and a highly varied system landscape.
The Challenge
EDEKA Hessenring, part of the EDEKA Group, was facing significant inventory discrepancies amounting to €4.5 billion annually across the German retail industry. These discrepancies were largely due to organizational weaknesses and employee crime. The company's auditing department, consisting of only four people, was responsible for auditing approximately 4,300 employees. The auditing process was heavily reliant on the experience of the employees and required a significant amount of effort. With a data volume of more than 36 million lines of accounting data per month for 73 markets and branches, this was a near impossible task. EDEKA Hessenring needed an analytical tool that could evaluate all the transaction data according to various criteria both systematically and quickly.
The Solution
TOSHIBA TEC introduced an efficient auditing tool, storeMate loss prevention, based on QlikView, to permanently reduce costs associated with improper postings and differences in inventory. The solution was implemented within the EDEKA Group quickly and easily, and the transactions are now evaluated at the click of a mouse without special database knowledge or training thanks to the intuitive user interface. The solution can rapidly analyze enormous amounts of data ranging from 15 to 20 terabytes, and spontaneously add additional dimensions and indexes to change the analytical perspective at any time. Conventional review criteria such as cancellations, empty packages, or personnel purchases are already predefined in “storeMate loss prevention” and can be supplemented at any time with additional criteria. Since all the data is continuously being loaded into the working memory, all the data from the branch level can be efficiently analyzed down to individual receipts using just one application.
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.
