SnapLogic Supports Browns Shoes Through Covid-19 Pandemic
Customer Company Size
Large Corporate
Region
- America
Country
- Canada
Product
- SnapLogic Intelligent Integration Platform
- Salesforce Commerce Cloud
- WMS by Generix Group
- OMS by Tecsys
- Tableau
Tech Stack
- ETL Tools
- API Management
- React
- AWS
- Python
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
Technology Category
- Application Infrastructure & Middleware - API Integration & Management
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
Applicable Functions
- Business Operation
- Logistics & Transportation
Use Cases
- Process Control & Optimization
- Predictive Maintenance
- Supply Chain Visibility
- Warehouse Automation
Services
- System Integration
- Software Design & Engineering Services
About The Customer
Browns Shoes is a family-owned business established in Montreal in 1940, synonymous with top international designer collections and exclusive street-savvy fashion for men, women, and children. With 68 locations throughout Canada, Browns recently celebrated its 75th anniversary as a thriving and growing family-owned Canadian company, and marked the five-year anniversary at its new LEED head office building in Montreal. As North America’s leading independent footwear chain, Browns is embarking on a new phase of growth with a renewed commitment to elevating the shopping experience for their customers. The retailer has also invested heavily in a state-of-the-art distribution center, featuring a fully automated ‘intelligent’ system which is comprised of 63 robots fulfilling store orders as well as e-commerce orders.
The Challenge
Manual, inefficient processes prevented business speed and agility. Browns Shoes needed to embrace the growing amount of valuable data it collects and manages via new business intelligence and data warehousing initiatives. The retailer started with Tableau and Python script to move all the data needed in a SQL database, but in order to scale the project and make it business-ready, the IT team needed an efficient way to move large amounts of diverse data from the various systems it had into its data warehouse. To do this, Browns Shoes sought an ETL tool that would match its requirements.
The Solution
After reviewing many ETL offerings on the market, Browns Shoes selected SnapLogic as it not only met all of the company’s ETL needs, but it also addressed a wider set of business requirements and provided the IT team with the flexibility to do much more in the future. The SnapLogic Intelligent Integration Platform was used to bring together data from different systems in real-time and provide insights and answers to the team right away. This made the reduced workforce much more efficient and enabled the team to keep the promises made to customers on shipping and delivery lead times. The IT team was able to rebuild the end-to-end labels process less than 24 hours after it was first requested, by modifying an existing packing tool and integrating it with the carriers' own systems to allow for customers to print their own shipping labels. The team set up a brand new software program using React as the front-end application and SnapLogic as the backend data platform. In just a single week, the new software was developed, tested, refined, and deployed so that staff in the distribution center could quickly and efficiently process the returns.
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
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
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
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.
