Fenix Commerce Launches Incrementality Engine... Learn More
Bombas, a leading apparel company known for its high-quality socks and commitment to customer satisfaction, faced challenges with its shipping processes prior to implementing FenixCommerce’s AI-powered Carrier-Rate Shopping engine.
Increase delivery reliability without raising costs.
React in real-time to carrier performance issues.
Extend holiday shipping windows.
Improve conversion and CX through better delivery transparency
Simplify and automate shipping rule management.
Dynamically adjust carrier selections based on real-time data.
Integrate new carriers and services seamlessly.
Enhance post-purchase visibility to optimize delivery performance.
Six Times ROI : Post-implementation, Bombas achieved a return on investment (ROI) six times higher than the initial investment, approximately twice the predicted amount.
Optimized Carrier Selection : By leveraging FenixCommerce’s data-driven insights, Bombas reduced reliance on expensive carriers for orders that could be fulfilled cost-effectively without compromising delivery promises.
Rapid Response to Carrier Delays : During Black Friday, when one carrier fell behind in its sorting process, Bombas used FenixCommerce to add a two-day buffer to affected orders in just 90 seconds. This targeted approach avoided mass upgrades, saving costs while ensuring timely deliveries.
Simplified Rule Management : Unlike the previous manual process, which required complex updates in the Warehouse Management System (WMS), FenixCommerce’s intuitive platform streamlined rule adjustments and carrier integrations.
Two Additional Sales Days : For the Christmas shipping window, Bombas captured two extra days of ground shipping sales by using FenixCommerce’s data to identify reliable carriers and services.
Targeted Upgrades : Instead of upgrading all packages to express shipping, Bombas selectively upgraded specific orders, balancing cost and customer satisfaction.
Reduced Early Deliveries : FenixCommerce’s predictive models identified opportunities to tighten delivery promises, improving conversion rates by aligning with customer expectations.
Minimized Late Deliveries : Targeted interventions for at-risk orders ensured more reliable deliveries, boosting customer satisfaction.
Post-Purchase Visibility: Customers gained better tracking and delivery updates, aligning with modern e-commerce standards set by retailers like Amazon and Walmart.
Data-Driven Carrier Selection : Bombas explored carriers and services it had not previously used, relying on FenixCommerce’s accurate delivery predictions rather than generic carrier promises.
Cost-Effective Upgrades : For time-sensitive orders, Bombas adopted slightly more expensive services (e.g., 25–50 cents per package) to offer faster delivery options, enhancing the checkout experience without significant cost increases.
Financial Impact : A sixfold ROI, far surpassing the initial business case projections.
Operational Efficiency : Streamlined shipping rule management and rapid response to disruptions, saving time and resources.
Customer Satisfaction : Extended sales windows, reliable deliveries, and improved visibility, aligning with customer expectations for fast and transparent shipping.
Competitive Advantage : By leveraging AI and machine learning, Bombas now competes more effectively with e-commerce giants, offering faster delivery promises at the product page, cart, and checkout stages.
Note : Visual assets referenced (e.g., charts, infographics, screenshots) should be created or sourced and uploaded to the website’s assets folder (e.g., /assets/). Ensure images are optimized for web performance and accessibility, with alt text for screen readers.
