Download PDF
Spar's Global Retail Analysis Revolution with Designer Cloud
Applicable Industries
- Cement
- Retail
Applicable Functions
- Sales & Marketing
Use Cases
- Retail Store Automation
- Theft Detection
Services
- Cloud Planning, Design & Implementation Services
The Challenge
Spar International, a global retail giant, faced a significant challenge in building a comprehensive report of its 13,000 stores spread across 48 countries. The complexity arose from the unique product naming conventions, supplier and brand relationships, and currency differences in each country. Additionally, Spar wanted to leverage Nielsen data for competitive analysis, which had its own product categorization that needed to be standardized to fit Spar's reporting. The task of finding a common denominator in all this diverse data, standardizing it, and joining it for reporting was a daunting task.
About The Customer
SPAR International is a global retail organization that operates in partnership with independent retailers. It works collaboratively to share global scale and expertise to enhance the competitiveness of its retail partners worldwide and build the SPAR brand internationally. With a presence in 48 countries and over 13,000 stores, Spar is a significant player in the retail industry. The company's operations are diverse, with each country having its own unique product naming conventions, supplier and brand relationships, and currency.
The Solution
Spar addressed this challenge by building a data workflow that combined Amazon S3 buckets and Designer Cloud. This combination was used to store data and then cleanse, standardize, and join it for reporting in PowerBI. With Designer Cloud, Spar was able to quickly standardize unpredictable retailer data and build a high-level global report that was previously unachievable. Furthermore, Spar leveraged Nielsen data to benchmark store and category performance. The success of this data aggregation project has not only allowed Spar to better understand its global retailers and competitors but has also encouraged the team to ask new, more complex questions that are now possible to answer with this advanced level of reporting.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
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.
