Technology Category
- Functional Applications - Inventory Management Systems
Applicable Industries
- Consumer Goods
- Retail
Applicable Functions
- Procurement
- Warehouse & Inventory Management
Use Cases
- Inventory Management
- Retail Store Automation
Services
- System Integration
- Training
About The Customer
Driveline Baseball is a multichannel B2C company established in 2008 and based in Kent, Washington. The company specializes in data-driven baseball performance training, offering coaching, physical therapy, and selling cutting-edge baseball training equipment, such as its best-selling Smash Factor Balls™. Driveline's retail business is unique and complex, requiring several custom integrations for efficient operations. The company has faced challenges with supply issues and unpredictable consumer demand, and has been seeking solutions to manage excess stock.
The Challenge
Driveline Baseball, a multichannel B2C company specializing in data-driven baseball performance training, faced a significant challenge in managing its complex retail operations. The company initially used Brightpearl for its operations, but due to the need for several custom integrations, including 3PL providers, which were not available on Brightpearl at that time, the company decided to switch to an alternative solution provider. However, the alternative solution turned out to be expensive, time-consuming, and frustrating, failing to meet Driveline's unique needs. The company was struggling with ongoing supply issues and unpredictable consumer demand, with excess stock becoming a major problem.
The Solution
Driveline Baseball decided to return to Brightpearl, which had since launched a library of Plug & Play integrations, including native connections to leading apps and tools such as Shopify, Amazon, and 3PL providers like ShipBob. The company had kept Brightpearl running in the background, which made the re-implementation process smoother. With Brightpearl back in full swing, Driveline leveraged the platform's market-leading functionality, including a powerful Automation Engine and a cutting-edge demand forecasting tool. The company also had access to Brightpearl’s deep, open API, allowing it to curate an ever-evolving suite of best-in-class tools to support its growth. A key feature was Brightpearl’s Inventory Planner, which provided hassle-free buying recommendations based on reliable demand forecasting.
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.
.png)
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
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.