Download PDF
Petzl Case Study
Technology Category
- Application Infrastructure & Middleware - API Integration & Management
Applicable Industries
- Retail
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Supply Chain Visibility
- Inventory Management
Services
- System Integration
The Challenge
Petzl, a company associated with adventure, exploration, and rescue, faced a challenge when they launched their B2B website. They needed an integration tool that would seamlessly connect their backend ERP system with their customer-facing portal. The goal was to provide retailers a real-time look at inventory availability without resorting to lengthy and complex hand-coded integrations. Additionally, they needed to connect ERP data with both the B2B customer-facing portal and Salesforce CRM, provide ongoing real-time synchronization of data, and provide a single view of all account data within Salesforce for access by sales team members.
About The Customer
Petzl has been developing innovative tools and techniques used by those entering the vertical world for over 40 years. The Petzl brand is closely associated with adventure, exploration, rescue, and many notable exploits in the worlds of rock climbing and alpinism. Petzl climbing hardware and headlamps can be found in outdoor specialty shops and premium sporting goods retailers around the world. When Petzl launched their B2B website, they needed an integration tool that would seamlessly connect their backend ERP system with their customer-facing portal.
The Solution
Petzl chose Jitterbit Enterprise for its features and functionality at the right price. Jitterbit’s flexible plugin architecture allowed for custom integrations to be easily configured. With Jitterbit, Petzl was able to forgo lengthy and complex hand-coded integrations and quickly provide retailers a real-time look at inventory availability. Jitterbit proved so powerful and easy to use that Petzl turned to the software again when they adopted Salesforce. Using Jitterbit, Petzl is able to provide their sales team a “one-stop” view of all information related to a customer account, including orders, inventory, payment status and more. Today, Jitterbit is used to constantly synchronize thousands of data records every day between multiple systems housed both on-premise and in the cloud.
Operational Impact
Quantitative Benefit
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.