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Fenix Commerce Launches Incrementality Engine... Learn More

Bombas Unlocks
6x ROI with FenixCommerce

CLIENT CASE STUDIES
Results DELIVERED BY FENIXCOMMERCE
7
Figures in annual ship cost savings
$1.25
Savings per parcel

9%

above forecasted ship cost reductions
The Challenge
Bombas relied on generalized, conservative shipping rules that prioritized customer delivery expectations but often resulted in higher costs and inefficiencies. These manual rules were cumbersome to manage, difficult to update, and lacked the flexibility to incorporate new carriers or adjust dynamically to real-time challenges. They needed a flexible, intelligent solution to improve delivery accuracy, reduce costs, and optimize shipping during critical periods like Black Friday and the holidays.

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.

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Key Objectives:
  • 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

FENIXCOMMERCE SOLUTION
FenixCommerce implemented its AI-powered Delivery Experience Platform, customized for Bombas with:

  • Dynamic Carrier Selection & Rate Shopping.
  • Real-time Post-Purchase Visibility & SLA Monitoring.
  • A robust Simulation Engine for cost-effective shipping strategies
FenixCommerce’s platform enabled Bombas to:
  • 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.

Infographic illustrating the streamlined implementation process of FenixCommerce, from simulation to dynamic rule management.

Implementation Overview
Bombas began its partnership with FenixCommerce by conducting a carrier shopping simulation using historical shipment data, carrier rates, invoices, and promised delivery times. This simulation provided a clear projection of potential cost savings, which justified moving forward with the implementation. The process involved collaboration to ensure accurate master data, particularly for Bombas’ lightweight products shipped in polybags, which required precise weight and dimension inputs for dynamic decision-making.

Key Benefits Realized

1. Significant Cost Savings

FenixCommerce’s simulation engine projected substantial savings, but the actual results far exceeded expectations:
  • 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.

Bar chart comparing projected vs. actual ROI, showcasing FenixCommerce’s sixfold return on investment.

2. Enhanced Flexibility and Agility

The FenixCommerce platform provided Bombas with unparalleled flexibility to manage shipping rules dynamically:
  • 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.

Screenshot of FenixCommerce’s platform showing the 90-second rule adjustment for Black Friday carrier delays.

3. Extended Holiday Sales Windows

FenixCommerce’s precise estimated delivery date (EDD) predictions enabled Bombas to extend holiday cutoff dates:
  • 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.

Timeline graphic highlighting the extended holiday sales window enabled by FenixCommerce’s precise delivery predictions.

4. Improved Customer Experience

By optimizing both early and late deliveries, Bombas enhanced its customer experience:
  • 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.

Pie chart showing improvements in on-time deliveries and customer satisfaction post-FenixCommerce implementation.

5. Access to New Carriers and Services

FenixCommerce’s simulation engine connected Bombas to a broader network of carriers and services:
  • 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.

Diagram illustrating the expanded carrier network accessed through FenixCommerce’s simulation engine.

6. Outcomes and Impact

Since implementing FenixCommerce, Bombas has transformed its shipping operations, achieving:
  • 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.

Infographic summarizing the financial, operational, and customer experience impacts of FenixCommerce on Bombas’ operations.

Conclusion

The implementation of FenixCommerce’s AI-powered Carrier-Rate Shopping engine has been a game-changer for Bombas. By addressing the limitations of manual, conservative shipping rules, FenixCommerce delivered significant cost savings, operational flexibility, and an enhanced customer experience. The ability to simulate outcomes, dynamically adjust rules, and access a broader carrier network has positioned Bombas to meet modern e-commerce demands while maintaining its commitment to customer satisfaction. These results, visualized through compelling graphics, demonstrate the power of data-driven logistics solutions in driving measurable business value.

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Want to talk to us directly?

If you’re an eCommerce brand looking to convert higher and even save the cost of shipping, while providing a top-of-the-line delivery experience for your customers, or you just have some questions. Then we suggest scheduling your free demo with our team today or visiting our website here .
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