Logistics Modeling and Reporting
Improve efficiency, optimize operations, and start making decisions based on data you can trust.
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Leverage Data to model future changes before making them
How Our Predictive Modeling Process Works
Gain flexibility and agility through our self-serve technology, empowering your team to quickly run logistics models and implement real-time adjustments.
1. Data Import
Incorporate your actual shipping data into modeling scenarios so you can measure downstream impact before execution
- CSV
- XLS
- Any flat file format
2. Data Mapping
Set up business rules and run scenarios depending on the inputs or configurations
- Change carriers
- Manage rates
- Manage margin
- Adjust volume
- Apply rules
- And more!
3. Review & Act
Leverage predictive modeling for trusted future decision-making
- Identify cost-savings or efficiency-enhancing opportunities
- Utilize trusted data to ensure accurate results
- Review results with our team of industry experts
- Implement adjustments promptly
4. Continuous Improvement
Continue to run different logistics models and scenarios based on the results
- Refine logistics operations to stay ahead of the competition and drive long-term success
- In the dynamic market, quickly adapt to change
- See ongoing growth and innovation in your logistics operations
Own Your Optimization With Data-Driven Logistics Modeling
Cost-Savings
- Streamline operations, identify new opportunities, and save costs through logistics modeling scenarios
Improved Efficiency
- Identify inefficiencies and implement strategies to reduce slow processes while maintaining service levels
Data-Driven Decision-Making
- Trust the future decisions through unrivaled data quality and real-time models that provide real results