Run Gum's Performance Boost and Time-Saving with Brightpearl
Technology Category
- Functional Applications - Inventory Management Systems
- Functional Applications - Warehouse Management Systems (WMS)
Applicable Industries
- Consumer Goods
- Retail
Applicable Functions
- Sales & Marketing
- Warehouse & Inventory Management
Use Cases
- Inventory Management
- Track & Trace of Assets
Services
- System Integration
About The Customer
Run Gum is a performance-enhancing chewing gum company founded by 2x Olympic track runner Nick Symmonds in 2014. Tired of using harsh energy drinks and coffee to boost his performance, Nick created a caffeine-infused chewing gum. Over the years, the brand has carved a unique niche within the gum industry, making steady direct-to-consumer sales through their Shopify-powered website and growing 50% year-on-year. The company sells directly to consumers and wholesale to major retailers like Target, Walmart, and Amazon, as well as a few smaller stores. Despite the challenges of managing multiple sales channels, the company has continued to grow and innovate, recently adding anxiety gum and immunity gum to their product range.
The Challenge
Run Gum, a performance-enhancing chewing gum company, was facing significant operational challenges due to its rapid growth. The company was selling directly to consumers and wholesale to major retailers like Target, Walmart, and Amazon, as well as a few smaller stores. As orders increased, managing multiple sales channels became a logistical nightmare. The company was using a basic Order Management Solution (OMS) and numerous spreadsheets to manage operations, along with the inventory software, Stitch Labs. However, Stitch Labs lacked the functionality to handle the complexities of Run Gum's omnichannel growth. The increased channels, sophisticated workflows, and order complexity led to error-prone reporting, gaps in data, and system lag due to the increased volume of orders. The staff was spending hours manually transferring EDI numbers between systems, making the process time-intensive.
The Solution
In 2019, Run Gum decided to switch to Brightpearl, a flexible and purpose-built retail operating system with advanced functionality. Brightpearl's features include a market-disrupting Automation Engine, best-in-class Inventory Planner, inventory management, and advanced reporting. The system was up and running in 120 days, a significantly shorter time compared to traditional ERPs which can take up to 24 months. Brightpearl also integrated seamlessly with Run Gum’s Shopify Plus and Shipstation setup due to its native Plug & Play integrations. The benefits were immediate, with the company's manual order processing resolved by Brightpearl’s Automation Engine. This automation allowed the team to focus on growing the business rather than managing day-to-day operations. Even during the pandemic, Run Gum was able to easily shift focus to their online channels while still managing their Target and Walmart orders.
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.
