AUDITNG / SPEND MANAGEMENT SOFTWARE
Turn Parcel Complexity Into Control with SiftedAI
SiftedAI is the always-on shipping intelligence platform built for parcel shippers who need accountability, margin protection, and fewer operational surprises. It transforms fragmented invoices and multi-carrier data into continuous, actionable insight, so you can monitor 100% of your parcel spend and act immediately with confidence.
SiftedAI is a logistics-native AI system that combines structured data normalization, domain-specific
knowledge, and agentic orchestration to continuously monitor, explain, simulate, and increasingly execute parcel optimization decisions.
Unlike static dashboards or one-time consulting projects, SiftedAI continuously works in the background to keep you at a $0 savings opportunity.
For logistics and supply chain teams, that means:
> Margin protection: Flag cost creep, surcharge discrepancies, and tier drift before they erode profitability.
> Risk mitigation: Validate carrier billing and contract compliance automatically.
> Executive readiness: Deliver shipment-level visibility and executive-ready reporting without manual effort.
> Time savings: Automate parcel audits, claims, bill pay, and GL coding.
> Fewer fire drills: Identify emerging service failures and cost risks before the month’s end.
At the center of this intelligence layer is SiftedAI Copilot, your always-on logistics analyst. Built directly into the platform, Copilot is enterprise-grade agentic AI that delivers the leverage of an additional team member without increasing headcount. It:
> Identifies emerging cost and service risks
> Quantifies the impact of strategy changes before you commit
> Models GRIs and demand-based fees in advance
> Recommends clear, immediate next steps
All data remains securely within the SiftedAI platform, and every insight is grounded in source-backed analysis tailored to you.
Trusted by thousands of shippers, including Fortune 1000 companies managing more than $21B in transportation spend, SiftedAI helps you move from reactive reporting to continuous optimization.
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