Delivery Promise | Make a promise you can keep | Shipium

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Console

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Always-On Audit

Optimize trade-offs at every decision, automate financial tie-out, and minimize errors. Learn more.

Customer Experience Suite

Accurate promises, delightful experiences, and improved cost-to-serve outcomes. Learn more.

Delivery Promise

Offer exact dates to improve competitiveness and conversion.

Convert more customers

Meet modern customer expectations and increase the likelihood that they’ll buy.

Make promises, then keep them

Improve customer trust and confidence by meeting the dates you present with extreme accuracy.

Earn repeat business

Boost customer loyalty by setting and meeting competitive delivery expectations.

Create or enhance customer promises

Exact dates, happier customers

Offer exact promise dates (or tighter date ranges) to build trust and convert more customers.

Already offering delivery promises?

If you’re looking to improve promise accuracy and more consistently meet dates, replace static transit tables with ML-powered transit times by integrating Shipium with your OMS.

Use Cases

How Shipium’s customers are using delivery promises:

What Delivery Promise Offers

Connect the shopping experience to the shipping experience, analyze results, and simulate the impact of changes to close the loop.

Dictate rate shopping decisions

Use date constraints to automate carrier and service selection.

Offer customer-specific promise dates

Show customers EDDs that account for their location relative to inventory position for maximum accuracy.

Analyze promise performance

Use Shipium Analytics to evaluate OTD%, cost-per-package, carrier selection decisions, and more.

Simulate strategic outcomes

Use Shipium Simulation to see how operational changes impact on-time performance and costs related to promise dates.

Superior data modeling

Dates are stochastically modeled for unmatched speed and accuracy.

Calibrated to your network

All warehouse or store origins are set up on the platform and configured to your exact network properties.

Shared scale across transit data

Over 350 million shipments have trained our AI / ML models.

Carrier-specific understanding

Our models know the probable speed of every carrier and method within your network.

Augmented by a global transportation team

The eventual estimate is adjusted based on a centralized transportation team that accounts for macro conditions.

Proven Results

Explore related customer experience solutions

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