ShipScience

ShipScience is an enterprise parcel shipping control platform that unifies every shipment, invoice, and carrier contract into a single data layer — then puts that data to work across audit, claims automation, carrier selection, rate negotiation, and performance monitoring. Built for high-volume shippers and 3PLs that are losing margin to carrier billing errors, unclaimed loss and damage refunds, and opaque contract structures, ShipScience operates from a straightforward premise: carriers built a system designed to be opaque, and ShipScience was built to see through it. The platform is self-funded, profitable, and remote-first, combining parcel veterans who have negotiated against UPS and FedEx for decades with engineers and data scientists who have built analytics platforms at scale. ShipScience backs every engagement with a savings guarantee — shippers save more than what they pay, or they get their money back.

Platform Architecture and Core Capabilities

At the foundation of ShipScience is the Parcel Data Platform — a governed data layer that ingests tracking, invoice, and order data across carriers and normalizes it into a single model. Every other product in the ShipScience suite runs on top of this foundation, meaning all analysis, automation, and recommendations are grounded in the same verified data rather than siloed by tool.

On top of that foundation, ShipScience offers five core products. ActiveAudit continuously audits carrier invoices for billing errors, surcharge anomalies, and service failures — automatically recovering refunds and disputing invoice discrepancies without requiring manual review. SimpleClaims automates the end-to-end loss, non-POD, and damage claims workflow: assembling carrier-specific documentation, routing by carrier and declared value, filing within carrier windows, and tracking claim status across a normalized schema that translates carrier-specific states into a single consistent view. CarrierWatch monitors network-wide Time-in-Transit and SLA performance across carriers, surfacing deviations before they become systemic problems. My Next Carrier models alternative carrier options against a shipper's actual ZIP distribution, package profile, and delivery patterns — providing data-backed carrier evaluation rather than theoretical rate comparisons. ParcelPulse delivers a structured cadence of PLD-based analysis tied to rate changes and GRI impacts, giving operations and finance teams shipper-specific impact analysis in real time rather than generic carrier announcements.

The newest layer is ParcelAgents — an agentic AI system that exposes ShipScience's audit, claims, and data capabilities as API-callable agents. This allows 3PLs, ISVs, and enterprise operations teams to embed parcel intelligence directly into their own platforms, copilots, or automation pipelines. Pricing for ParcelAgents is usage-based (per task), making it accessible for both pilot-scale experimentation and enterprise-volume production deployment.

Where ShipScience Fits in the 3PL and Enterprise Shipping Stack

ShipScience is purpose-built for operations and finance teams at high-volume shippers and 3PLs where parcel is one of the largest line items in the P&L and the hardest to see clearly. It fits as the intelligence and recovery layer on top of existing carrier relationships, TMS platforms, and WMS systems — it doesn't replace how shipments are executed, it controls the financial and performance outcomes of those shipments after they're in motion.

For 3PLs specifically, ShipScience addresses a structural challenge: managing parcel spend and carrier performance across multiple brand clients, each with different shipping profiles and carrier agreements, without a unified data layer to surface what's actually happening. The per-client shipping margin tracking and multi-carrier normalization in the Parcel Data Platform give 3PL operations teams the visibility to manage carrier costs at the client level, not just in aggregate. The ParcelAgents API layer is particularly relevant for 3PLs and ISVs that want to embed audit and claims intelligence into their own client-facing portals or billing workflows without building the carrier data infrastructure from scratch.

Industry Recognition and Use Cases

ShipScience's team combines parcel veterans who have negotiated against UPS and FedEx for decades with engineers and data scientists who have built analytics platforms at scale. Customer outcomes center on three measurable dimensions: refund recovery through continuous invoice auditing, claims revenue through automated loss and damage filing, and contract improvement through data-backed rate negotiations and carrier modeling. ShipScience reports helping businesses save over 25% on shipping costs, and its savings guarantee — refund if shippers don't save more than their subscription cost — reflects confidence in that outcome. The platform publishes a quarterly Parcel Refund Index tracking industry-wide refund recovery trends, and maintains a live carrier updates feed covering rate changes and surcharge shifts that affect shipper contracts in real time.

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