Simulation | Predict future decisions before making them | Shipium
Announcing Always-On Audit
Complete financial controllership for shippers.
Shipping AI
- AI Engine: The system powering Shipium's decisions.
- Models: Purpose-built for the shipping industry.
- Research + News: Insights from the team building Shipium.
Technology
- Carrier Network: Pre-integrated services available to all.
- Integration: A proven framework for platform implementation.
- Rules Engine: Universal logic that propagates instantly.
- Console: No-code centralized configuration management.
Services
- Always-On Audit: Optimize trade-offs at every decision, automate financial tie-out, and minimize errors.
- Compass: Improve your strategy and planning with faster access to richer shipping insights.
- Shipping Management System: Shipping execution across your fulfillment network. Any node, any carrier, any system.
- Customer Experience Suite: Accurate promises, delightful experiences, and improved cost-to-serve outcomes.
By Industry
- Retail: Show fast and accurate promises that cost less to ship.
- 3PL: Shipping orchestration that ties out with analytics and billing.
- Healthcare & Life Sciences: Power modern delivery models with an integrated solution.
- B2B: Centralize and optimize your shipping network to reduce costs.
Use Cases
- Simulation
- Delivery Promise
- Delivery Date Enhancement
- Shipment Tracking
- Route Optimization
- Packaging Optimization
- Address Validation
- Mode Optimization
- Zone Skipping
- Carrier Load Management
- Rating Engine
- Label Engine
- Pack Station
- Ship-from-Store
- Dropshipping
- International Shipping
- Billing Management
- Shipping Analytics
Get insights in hours, not weeks
Quickly understand the impacts of operational changes you’re considering.
Optimize for your business goals
Drive continuous improvement by using data from executed shipments, Shipium’s platform-wide data, and industry-leading ML.
Improve strategic planning
Testing your hypotheses quickly and create faster, more iterative decision-making cycles.
Justify operational changes
Make a business case for network changes based on your simulation results.
How Shipium Simulation takes you from what-if to what’s next
Here’s how we ensure your simulations are a success:
Simple setup, fast execution
Provide historical data and define unique network properties like carriers, rates, origins, and volume limits. Then, apply your simulation constraints, run predictive scenarios, and get answers quickly.
Easy consumption and analysis
Insights are presented using intuitive reports and data visualizations that make results easy to understand and take action.
Guidance from experts
Our team is here to help you through the process with assisted setup and use case guidance to ensure successful outcomes.
Built on AI + ML, not hype
Real data science has been at the core of what we do since the beginning.
It starts with data
Predictions are only as good as the data that informs them, and Shipium combines your historical data with real-world conditions.
Models for essential use cases
Our data science team tests new models tailored to unique use cases like delivery promise presentation.
Dedicated data science team
Our leaders and engineers bring expertise from places like MIT and Amazon, applying their experience to solve real-world problems for shippers.
Use Cases
- Intelligent Downgrades: See when cheaper service methods would have delivered just as fast or faster.
- Dynamic Volume Allocation: Analyze which shipments should be sent via a specific carrier to meet a commitment at the lowest cost.
- GRI Increases: Approach contract negotiations armed with knowledge of expected cost increases by lane.
- Faster Promise Dates: Know how more competitive promise dates would impact your costs.
- Branded Shipping Options: Offer custom shipping options with SLAs to find the cheapest carrier that meets them.
Case Study
How Simulation improved decision velocity for a Fortune 500 Retailer
39 simulations run in a single quarter helped reduce early cost-per-package.
Simulation Categories
- Volume Thresholds
- Intelligent Downgrades