Sifted Unveils AI Copilot to Automate Logistics Decisions

OVERLAND PARK, Kan. – February 17, 2026 – In a significant move aimed at transforming the complex world of parcel shipping, logistics intelligence firm Sifted today launched SiftedAI Copilot. The new platform is an enterprise-grade, agentic AI overlay designed to function as an “always-on logistics analyst,” automating cost management, performance analysis, and carrier strategy for businesses grappling with mounting supply chain pressures.

Unlike traditional analytics tools that require users to manually sift through data, SiftedAI Copilot is designed to work proactively alongside logistics teams. It leverages natural language interaction, simulation modeling, and autonomous monitoring to deliver insights and execute multi-step analyses. The launch marks a pivotal step from reactive reporting toward a future of autonomous logistics intelligence, where AI doesn't just provide data but actively helps make decisions.

“SiftedAI Copilot represents a major leap forward in how logistics teams work,” said Shawn McCarrick, CEO of Sifted. “It doesn't just answer questions, it understands shipping, reasons through complex tradeoffs, and recommends the next best move. Copilot surfaces hidden cost drivers, models savings opportunities, and escalates to human experts when needed, all while ensuring client data stays secure in the SiftedAI platform.”

Navigating the Labyrinth of Modern Shipping

The timing of the launch is critical. Parcel shippers, from mid-market manufacturers to global e-commerce giants, are navigating an increasingly treacherous landscape. Volatile carrier pricing, a dizzying array of surcharges, tightening profit margins, and ever-growing operational demands have turned logistics from a simple cost center into a complex strategic function. For many companies, parcel spend represents a massive and often opaque operational expense.

Industry experts note that effective management in this environment requires moving beyond basic invoice auditing. The challenge lies in aggregating and interpreting vast, fragmented datasets from multiple carriers—like FedEx, UPS, and DHL—to gain a single, actionable source of truth. Sifted, which evolved from its roots in parcel auditing as VeriShip nearly two decades ago, has built its brand on providing this clarity. The company's client roster, which includes names in manufacturing, retail, and medical devices, demonstrates the broad-based need for sophisticated spend management.

SiftedAI Copilot is positioned as the next evolution in this journey, promising to provide clarity in the face of this complexity. By combining its AI capabilities with deep industry expertise, the platform aims to empower shippers to make smarter, more confident decisions at scale, turning their logistics operations into a competitive advantage rather than a financial burden.

Beyond the Dashboard: The Promise of Agentic AI

What sets SiftedAI Copilot apart, according to the company, is its foundation in agentic AI. This is a class of artificial intelligence capable of not just processing information but also autonomously planning, reasoning, and executing complex tasks. Instead of presenting a dashboard and leaving the interpretation to a human analyst, an agentic system can independently identify a problem, formulate a multi-step solution, and carry it out.

For a logistics manager, this could mean the AI autonomously flagging a sudden spike in residential surcharges, cross-referencing it with recent shipping patterns, and recommending a shift in service levels to mitigate the cost increase—all without a single user prompt. This proactive capability is at the heart of the platform's phased rollout:

• Copilot Assist (Available Now): This initial layer provides a natural language interface, allowing users to ask direct questions like, “Why did my parcel costs increase in Q4?” and receive clear, data-driven answers.

• Auto Copilot (Coming Next): The forthcoming autonomous monitoring layer will continuously analyze shipment data to proactively surface anomalies, such as unexpected surcharge growth or service-level drift, alerting shippers to critical issues.

• Copilot Simulation (Phase 3): The final planned phase will enable clients to model and test complex strategies, such as optimizing their carrier mix or evaluating the impact of service-level changes based on their specific contracts and goals.

This approach distinguishes the platform from general-purpose Large Language Models (LLMs), which often lack the specialized domain knowledge required for the nuances of logistics.

Building Enterprise Trust in an AI-Powered World

While the promise of AI is immense, its adoption in enterprise settings is often tempered by significant concerns around data security, governance, and reliability. In the logistics sector, where data includes highly sensitive carrier contracts, customer information, and proprietary shipping strategies, these concerns are magnified. Sifted appears to have built its AI strategy with these hurdles in mind, emphasizing three core differentiators designed to foster enterprise trust.

First, data security is paramount. Sifted guarantees that client data never leaves the SiftedAI platform and is never used to train external models. This contained approach minimizes exposure and gives clients assurance that their competitive operational data remains confidential.

Second, the platform offers grounded intelligence with human escalation. To combat the risk of AI “hallucinations”—inaccurate or fabricated outputs—SiftedAI Copilot provides verifiable, data-backed answers. In scenarios where the AI is uncertain, it is designed to transparently escalate the query to Sifted's team of human logistics experts, ensuring a layer of accountability.

Third, the system is built on logistics-trained intelligence. The AI has been purpose-built using Sifted's vast repository of normalized shipment data and machine learning models, giving it a deep, contextual understanding of real-world shipping behavior.

“Shippers are excited about AI, but they're equally concerned about governance, accuracy, and protecting their data,” McCarrick added. “SiftedAI Copilot was built from the ground up for enterprise logistics environments. It delivers trusted, explainable intelligence within a secure framework, so teams can move faster without sacrificing control or compliance.”

From Insight to Impact: The Tangible Value Proposition

Ultimately, the success of any enterprise technology hinges on its ability to drive measurable value. SiftedAI Copilot is designed to move beyond reporting to directly impact a company's bottom line. Its agentic capabilities are applied to identify specific sources of cost leakage, such as service-level misalignment or unchecked growth in accessorial fees.

The platform also automates traditionally labor-intensive processes like General Ledger (GL) coding and invoice analysis, freeing up logistics teams to focus on more strategic initiatives. By continuously monitoring carrier compliance against contracts, it ensures shippers are not overpaying and are receiving the services they negotiated.

The intended results are clear: improved labor productivity, a lower total landed cost for goods, and a more agile and confident decision-making process for the entire parcel shipping operation. For a company shipping millions of packages a year, even small, AI-driven optimizations can translate into millions of dollars in savings.

“This is the future of autonomous logistics,” McCarrick concluded. “We're moving from insight and delivery to intelligent action. SiftedAI Copilot doesn't just inform decisions—it continuously works alongside our clients to uncover opportunity, reduce waste, and drive measurable financial impact at scale.”