Ship Smarter
Future-Proof Your Supply Chain with AI + ML
Customers model and predict the speed, cost, and accuracy of their shipping in real-time with the platform's unique machine learning capabilities.
Powered by ML: End-to-End Optimization and Automation that Modernizes Your Supply Chain
Incredible outcomes you won't believe were possible
Better accuracy
Gain the confidence to predict your shipping network. The models combine platform-wide shipping data with your unique operations to tailor estimations with extreme accuracy.
Major cost savings
By modeling shipping speed, cost, and accuracy across the supply chain, customers optimize their cost structures to levels never thought possible.
More revenue and loyalty
Customers who pair our transportation estimates with their inventory systems see more aggressive and accurate promises that led to a 4% cart checkout conversion improvement.
New superpowers available immediately
Real-time values beat static tables
Carrier SLAs are conservative and static, but Friday is different than Monday, which is different than Cyber Monday with a blizzard in Chicago. Predict in real-time with Shipium.
Predict services without an SLA
Cost-effective shipping options like economy methods often don't provide an SLA, but with Shipium you can estimate the delivery of any shipping method available in our network.
Coordinate across existing systems
Your ecommerce platform, OMS, WMS, TMS, and ERP all contain important decisions related to eventual shipping. Connect and coordinate those decisions with our ML models.
Use Cases
Modern operators solve critical challenges with Shipium's ML-native platform
Customer Experience Improvements
Confident delivery promises
Know what is possible combined with what is best for your business to tell your customers. Move from offering carrier-provided date ranges to making ML-powered, data-driven delivery promises.
Faster deliveries
Streamline processes across every stage of parcel fulfillment (ex. fulfillment planning, picking & packing, carrier selection etc.) to make more competitive promises that you know you can keep.
Demand forecasting
Pair our time-in-transit models with your demand planning system to more accurately source the right SKUs at the right times to prevent stockout or overstock situations.
Network Optimization
Dynamic order routing
Integrate our transit speed models with your existing order routing system to more accurately predict delivery windows across all optional origins with inventory. We augment and add value to your existing process by providing accurate real-time speed projections across your entire network.
Inventory allocation
Use our transit speed models within your existing inventory management systems to better model out probable delivery times paired with merchandise forecasting. The result will be more inventory placed closer to more probable buyers.
Shipment Execution
Intelligent upgrades/downgrades
Find opportunities to use a cheaper shipping method that will still hit a faster delivery promise date or range. Customers picked a ground method with a 2-4 Day delivery promise 32% of the time, resulting in $78M in savings while still delivering on time 98.5% of the time.
Split reduction
Minimize the number of shipments needed to fulfill every order to keep shipping costs down and create a stronger customer experience. When paired with inventory and order management systems, our speed models combined with our cost models give you insight on whether a multi-SKU order should be split to hit a delivery date, or can be consolidated over time.
Subscription timing
Perfectly time subscription-based shipments while choosing the cheapest option to fulfill them by using future-focused speed models to know precisely when to fulfill and order.
Simulating the Future
Carrier expansion analysis
Understand the cost and performance implications of adding new carriers (or establishing a multi-carrier strategy). Use modeled time-in-transit values with new carrier options to see how volume distributes.
Network expansion analysis
Test where to add new warehouses and distribution centers, measure the impact of shipping directly from stores, and determine whether it’s worth adding a 3PL for additional volume. Use modeled time-in-transit values with additional nodes in your network to see how fulfillment shifts.
Smarter rate negotiation
Negotiate with a real view of carrier performance (rather than relying on SLAs) to establish more favorable discount tiers and make surcharge adjustments that are optimized for your network by using modeled dynamic time-in-transit values that will show service method breakdowns.
Superior Data Modeling
How Shipium's Machine Learning Works
By leveraging Shipium's differentiated data and the ability to configure models based on unique network properties, you can manage the tradeoff between speed and costs and create your desired customer experience.
Leverage differentiated data
Getting the data you need to generate accurate transit predictions is a hard problem to solve on your own. Shipium bridges that data gap by accounting for true carrier performance and macro-conditions across your network. Our models analyze every factor that could impact transit times.
Configure and tune to your unique operations
To further tune Shipium's models and generate more accurate predictions, the next step is to shape them to your network's unique properties by configuring things like carrier pick up times, volume limits, and over 100 other options available to you.
Optimize for your desired outcomes
The customer experience you want to create determines the balance you should strike between shipping speed and costs. Use ML-powered transit predictions to adjust your network & strategy and meet your unique business goals.
Work with a trusted data science team
Shipium is an ML-native platform, and our investments in data science talent and initiatives reflect that. A core part of the platform is a designated data science team performing daily tests on our models to generate the most accurate predictions possible. With 11 models in production and over 120 new model tests performed in the first half of 2024 alone, our program ensures we provide differentiated ML technology you can trust.
Enterprise Ready
Reliable, scalable, and enterprise-grade Machine Learning & AI trusted by customers every day
Shipium's machine learning impacts every aspect of our platform, enabling you to make smarter decisions across fulfillment, carrier selection, network expansion and more.
Scale to meet any demand
Our elastic, autoscaling infrastructure enables models to handle any data volume without disruption.
Integrate with systems of record
Augment your existing systems with a management layer that allows for seamless process coordination.
Secure your data
Shipium is SOC2 Type II compliant and adheres to regimes like GDPR and CCPA, creating maximum trust.
Want to see how Shipium works?
Schedule a demo. Our team is happy to answer any questions or provide you an example of our capabilities.