Brightpearl > Case Studies > Snow's Operational Transformation with Brightpearl's Retail Operations System

Snow's Operational Transformation with Brightpearl's Retail Operations System

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Technology Category
  • Application Infrastructure & Middleware - Middleware, SDKs & Libraries
  • Functional Applications - Inventory Management Systems
Applicable Industries
  • Consumer Goods
  • Retail
Applicable Functions
  • Sales & Marketing
  • Warehouse & Inventory Management
Use Cases
  • Inventory Management
  • Retail Store Automation
Services
  • System Integration
About The Customer
Snow is a leading oral cosmetics brand, best known for its transformative teeth whitening kits. The brand has received endorsements from celebrities such as Kim Kardashian, Chris Pratt, Ellen DeGeneres, and several NFL football players. Launched by Josh Snow in 2017, the brand quickly secured retail placements at America’s biggest stores, including BestBuy, Bed, Bath & Beyond, and Walgreens. It expanded its product line to include toothpaste, wireless whitening systems, and charcoal floss, earning millions of loyal customers in the process. Despite its success, the brand was struggling with operational issues and was in need of a solution that could streamline its operations.
The Challenge
Snow, a leading oral cosmetics brand, was experiencing operational chaos despite its phenomenal success and celebrity endorsements. The brand, best known for its transformative teeth whitening kits, had sales exceeding $100M a year and was experiencing a 90% year-on-year growth. However, behind the scenes, the brand was struggling with operational issues. The multichannel, Shopify Plus-powered brand was dealing with frequent stockouts that were frustrating its customers. The brand was in desperate need of a solution that could handle the volume of orders and offer the necessary functionality. Traditional ERP solutions like Netsuite were found to be overly complex, while lower-end solutions like Order Management Systems (OMS) were unable to handle the volume of orders Snow was dealing with.
The Solution
Snow implemented Brightpearl's Retail Operations System (ROS) to address its operational challenges. Brightpearl's ROS stood out for its powerful Automation Engine, market-leading Inventory Planner, and a huge library of Plug & Play integrations. The Automation Engine saves the average customer two months every year and reduces errors by 65%. The Inventory Planner factors in peak periods and promotions to accurately forecast stock requirements, successfully eliminating all stock-related issues for Snow. The Plug & Play integrations offer instant connectivity to a range of apps and tools, including Shopify Plus, which powers Snow’s DTC website. With Brightpearl in place, Snow was able to consolidate its systems and multiple channels, including Shopify Plus and Amazon, into one central system. The brand also benefited from advanced, real-time reporting, in-built accounting functionality, and complete warehouse management software.
Operational Impact
  • The implementation of Brightpearl's ROS has had a profound impact on Snow's operations. The Automation Engine has dramatically sped up workflows, enabling the brand to maintain same-day dispatch even during peak season. This has significantly improved the customer experience, with customer ticket wait times being cut from 14 days to just 12 minutes. The in-built accounting functionality and the ability to connect 'out of the box' with accounting providers like QuickBooks have been game-changing features for Snow. The brand, which has ranked #2 on the ‘DTC power list’, has also been able to connect Brightpearl seamlessly with SPS Commerce, the software that connects Snow with major player retailers. With Brightpearl on its side, Snow is now looking to scale even further, with its sights set on acquisitions and an expanded international reach.
Quantitative Benefit
  • $100M turnover with 90% YoY growth
  • Rapid go-live time of 90 days, readying the brand for peak season
  • Customer ticket wait times cut from 14 days to just 12 minutes

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