Technology Category
- Functional Applications - Enterprise Resource Planning Systems (ERP)
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Consumer Goods
- Retail
Applicable Functions
- Maintenance
- Sales & Marketing
Use Cases
- Retail Store Automation
- Supply Chain Visibility
Services
- Cloud Planning, Design & Implementation Services
About The Customer
Founded in 2014, PopSockets has sold over 230 million of its iconic phone grips in 75 countries and now has an expanding ecosystem of related products, including phone cases, wallets, and mounts. The company, which has more than 250 employees, supports various departments, including Ecommerce, Marketing, Business Intelligence, Finance, Accounting, Supply Chain, and Operations. PopSockets uses various sources for its data, including Amazon Ads, Klaviyo, SQL Server, Google Ads, Bing Ads, MySql RDS, Google Analytics, Facebook Ads, Snapchat Ads, Pinterest Ads, and Shopify. The company's data is stored in the Snowflake Data Cloud and is hosted on the AWS Cloud Platform.
The Challenge
PopSockets, a retail and consumer goods company, was facing significant challenges with its data management and reporting processes. The company was struggling with reporting efficiencies and communicating insights across various departments, including Ecommerce, Marketing, Business Intelligence, Finance, Accounting, Supply Chain, and Operations. The lack of strict timelines for data refreshment and the tedious process of manually aggregating reports were hampering the company's growth. As PopSockets began to experience tremendous year-over-year growth and adopted an ERP system, the volume of data grew exponentially. The company was grappling with data silos, unscalable manual efforts to aggregate and store data in a single source of truth, and a lack of visibility into marketing data to understand the ROI of ad spend on various channels. PopSockets needed a scalable solution that would allow its small team of data engineers to build automated data pipelines for faster analytics and reporting.
The Solution
PopSockets adopted Fivetran, a modern data stack solution, to centralize its data and build models for deeper insights. Fivetran, coupled with Snowflake and PopSockets' BI tool, helped the company support and unify data from additional ERP systems as they scaled across the world. It also enabled the company to automate reports with reliable and up-to-date data and assess the performance of individual ad campaigns on different channels more effectively. Fivetran's solution was a key component in PopSockets' strategy to manage its explosive growth through various sales channels and increased paid marketing efforts. The solution allowed the company to centralize growing ERP data as it scaled worldwide, save hours of resources by eliminating the need to manually download reports from various platforms and aggregate them for analyses, and create leaderboards by SKU to show what products were contributing to not just sales and unit velocity, but also profitability.
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 Vending Machine Profitability with the Internet of Things (IoT)
The vending industry is undergoing a sea change, taking advantage of new technologies to go beyond just delivering snacks to creating a new retail location. Intelligent vending machines can be found in many public locations as well as company facilities, selling different types of goods and services, including even computer accessories, gold bars, tickets, and office supplies. With increasing sophistication, they may also provide time- and location-based data pertaining to sales, inventory, and customer preferences. But at the end of the day, vending machine operators know greater profitability is driven by higher sales and lower operating costs.
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.