Simulation | Predict future decisions before making them | Shipium

Shipium named in 2026 Gartner® MCPMS Market Guide

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Get insights in hours, not weeks

Quickly understand the impacts of operational changes you’re considering — whether it’s greater use of ground services, adding a carrier, or optimizing volume for discount tiers.

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

Strategic planning should rely on data-driven insight, not assumptions. Test your hypotheses quickly and create faster, more iterative decision-making cycles.

Justify operational changes

Make a business case for network changes when simulation results meet your desired thresholds for performance improvement, cost reduction, or both.

How Shipium Simulation takes you from what-if to what’s next

Between faster setup, intuitive insights, and guidance from our expert customer success team, here’s how we ensure that your simulations are a success.

Simple setup, fast execution

Provide us with your historical data and define your unique network properties like carriers, rates, origins, and volume limits. Then, apply your simulation constraints, run predictive scenarios, and get to answers quickly.

We also offer templates for common simulations to further accelerate the process.

Easy consumption and analysis

Insights are presented using intuitive reports and data visualizations that make results easy to understand and act on.

Guidance from experts

Our team is here to help you through the process, having run dozens of simulations a quarter for enterprise customers. Assisted setup and use case guidance ensure that you get the outcomes you’re looking for.

Built on AI + ML, not hype

Real data science has been at the core of what we do since the beginning — built on the same principles that revolutionized Amazon’s supply chain.

It starts with data

Predictions are only as good as the data that informs them. Shipium accounts for your historical data, combines it data sourced from 350+ million shipments, and accounts for real-world conditions like weather events and carrier bulletins.

Your network properties are represented

Models are trained to generate predictions based on your carriers, pull times, rates, origins, business rules and more.

Models for essential use cases

Shipium’s models are tailored to unique use cases like delivery promise presentation, origin selection, and optimal carrier selection — our data science team is also constantly testing new models to add to the platform.

Dedicated data science team

Our data science leaders and engineers bring deep expertise from places like MIT and Amazon, and apply that 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

Balance contractual obligations with pure date + rate shopping

GRI Increases

Understand how upcoming rate increases will impact costs

Faster Promise Dates

Know how more competitive promise dates would impact your costs

Branded Shipping Options 3PL

Meet your promise dates at the lowest cost

Case Study

How Simulation improved decision velocity for a Fortune 500 Retailer

Between faster setup, intuitive insights, and guidance from our expert customer success team, here’s how we ensure that your simulations are a success.

Simulation Categories

Desired Outputs

39

Simulations run in a single quarter to address desired scenarios

-$0.22

Early cost-per-package reduction based on results

$10+ Million

Projected savings in 2025 for warehouse origins alone

Smarter scenario planning powers outcomes aligned with your business goals

Simulation

Predict the impact of network changes

Delivery Promise

Present exact delivery dates to customers

Delivery Date Enhancement

Improve accuracy by replacing static transit times

Shipment Tracking

Consolidate and standardize event updates

Route Optimization

Optimize where to ship from, when to ship, and how to ship

Packaging Optimization

Choose the right packaging

Address Validation

Ensure address accuracy

Mode Optimization

Parcel and LTL rating workflows

Zone Skipping

Manage complex injection schemes

Carrier Load Management

Balance discounts, limits, and rules

Rating Engine

Compare rates and select carriers

Label Engine

Create and customize shipping labels

Pack Station

Attendant shipping for warehouses

Ship-from-Store

Connected shipping for stores

Dropshipping

Pass decisions to suppliers

International Shipping

Manage cross-border shipments

Billing Management

Reconcile invoice discrepancies and bill customers faster

Shipping Analytics

Analyze any aspect of shipping performance