Across industries, supply chain leaders face the same tension: maintain high delivery standards while hitting cost targets. The data to make smart decisions exists—buried in shipment confirmations, carrier invoices, and performance logs. The problem is getting to it.
Traditional analytics projects take weeks. They require dedicated analyst time, custom queries, and manual report building. By the time insights surface, the window for action may have closed. Operators wait. Finance waits. Leadership makes decisions on incomplete information.
Today, we're introducing Shipium Orca Analytics—an AI supply chain analytics platform that changes this equation entirely.
The Problem We're Solving
Shipping analytics tools have historically relied on time-consuming, multi-dependency projects. Need to understand what's driving a cost increase? That'll take a month. Want to see how carrier performance issues are affecting rate shopping decisions? Queue up a request and wait.
This creates real consequences:
- Operators can't self-serve on routine questions, creating bottlenecks
- Analysts spend their time on repetitive reporting instead of strategic work
- Finance leaders lack visibility into cost structures until it's too late to course-correct
- Supply chain executives struggle to balance delivery standards against cost goals without real-time data
A Complete Solution: Robust Analytics + AI Companion
Orca Analytics addresses this with two complementary capabilities working together.
Pre-Built Dashboards for Key Workflows
The foundation is a comprehensive set of intuitive, self-service dashboards built around the questions supply chain teams actually ask:
- Shipment Costs — Identify factors impacting profitability and inform cost reduction strategies.
- Delivery Speed — Ensure delivery speeds remain competitive and find opportunities to improve.
- On-Time Performance — Verify SLA alignment and detect trends requiring intervention.
- Delivery Status — Gain full shipment visibility and act before issues reach customers.
- Rate Shop Selections — Make informed decisions about carrier volume allocation.
- Shipment Volume — Analyze overall trends and breakdowns by carrier.
- Label Generation — Track throughput and failover patterns.
- 3PL Tenant Reporting — Report on per-tenant SLA performance.
These aren't generic reports—they're purpose-built for supply chain use cases, enabling operators to self-serve on common questions without waiting for analyst support.
The AI Chat Companion: Analysis in Minutes, Not Weeks
When questions don't fit neatly into predefined views, the AI Chat Companion takes over. Ask a question in plain language:
"Which carrier service methods had the highest peak surcharges in December?"
"What was the on-time performance and shipment count for Next Day service level last month?"
You provide the context. Orca handles the analytical details—querying data, performing calculations, generating visualizations. Assessments that used to take weeks now happen in minutes.
This is what we mean by an analysis accelerator. The AI doesn't replace your judgment, it removes the friction between your question and the answer.
If you have 90 seconds, check out the video below to see how it works in action:
Who Benefits—And How
Operations Leaders & Supply Chain Executives
Reduce costs while maintaining high delivery standards. Get the visibility needed to balance competing priorities with data, not gut feel.
Finance Leaders
Ensure alignment with desired cost structures. Identify cost reduction opportunities before they become problems requiring reactive fixes.
Operators
Understand what's driving cost and performance changes—and adjust on the fly. No more waiting for analyst availability to answer routine questions.
Analysts
Stop spending time on repetitive reporting. Focus on advanced projects while operators self-serve on common use cases.
Technology Teams
Access ML models and an AI chat interface built on deep supply chain expertise—capabilities that can't be realistically built in-house.
Part of the Orca AI Family
Orca Analytics is part of Shipium's broader Orca AI initiative—our unified engine for verticalized generative AI across the platform.
When considering the practical application of any AI, domain expertise and differentiated data are non-negotiables. They’re what provide the proper context for action. In the supply chain world, public data that any AI can source from the internet doesn’t solve real-world problems. Orca AI is built on models that are trained using Shipium’s massive proprietary dataset that encompasses 350+ million shipments.
Today, Orca powers one surface (Orca Analytics), with another soon to come (Orca Explain):
- Orca Analytics (Co-Pilot): Conversational analytics that works alongside you, surfacing insights and answering questions about your shipping data.
- Orca Explain (Agent): On-demand decision transparency—click "Explain" on any shipment to understand why Carrier Selection made the choice it made.
As Orca evolves, expect more AI-powered surfaces that help you understand, optimize, and increasingly automate your supply chain operations.
