Freight Technologies unveils Zayren, an AI freight-rate prediction engine built to cut logistics guesswork

Freight Technologies, Inc. (Nasdaq: FRGT) has introduced a new artificial intelligence engine that it believes could meaningfully shift how shippers, brokers, and carriers navigate rate volatility and capacity challenges across the North American freight corridor. The company unveiled Zayren, a rate-forecasting and carrier-matching platform that applies machine learning models to historical lane dynamics, cross-border movements between the United States and Mexico, and real-time operational signals to produce freight predictions delivered within seconds. Freight Technologies described this launch as the most significant expansion of its technology stack since its flagship Fr8App ecosystem, signalling an ambition to turn predictive freight analytics into a core revenue driver.

The announcement arrives at a moment when the logistics sector is reshaping itself under pressure from fluctuating spot prices, tight margins, and rising compliance complexity. Industry observers say that AI-driven procurement tools are gaining traction because supply chain teams are pushing for faster benchmark visibility, greater cost transparency, and automated carrier qualification. Against that backdrop, Freight Technologies framed Zayren as a purpose-built platform for shippers navigating a cross-border landscape filled with regulatory hurdles, structural delays, and wide swings in cost per mile. The company said that early users within its Fleet Rocket TMS ecosystem are already integrating Zayren into their planning cycles, while broader access for shippers and brokers will expand through demo requests and onboarding support.

How is Freight Technologies using AI to solve volatility across U.S.–Mexico freight lanes and improve real-time rate decisions for shippers?

Freight Technologies said Zayren’s core advantage is its ability to scan and interpret hundreds of thousands of pricing datapoints across domestic and international lanes, then cross-reference them with capacity indicators, seasonality cycles, nearshoring-related demand patterns, and customs-driven delays. Instead of relying on traditional rate sheets, spreadsheets, or limited spot-quote snapshots, shippers gain algorithmically generated pricing baselines that refresh automatically as market conditions shift. The company emphasized that its cross-border dataset—built over years of managing U.S.–Mexico over-the-road operations—gives Zayren unique context for lanes that experience higher variance than typical domestic freight corridors.

Zayren’s second pillar, carrier matching, is designed to eliminate guesswork around sourcing reliable trucking partners in a fragmented and compliance-heavy landscape. Freight Technologies said its AI models continuously rank carriers based on performance history, border-crossing expertise, equipment availability, safety records, and responsiveness, surfacing verified partners who best match load characteristics. For procurement teams, this means fewer cold calls, fewer manual vetting cycles, and faster onboarding. Several manufacturers and forwarders in early access reportedly cited improved transparency in selecting cross-border carriers—especially in lanes where compliant capacity is difficult to secure quickly.

The company is initially offering Zayren to users inside its Fleet Rocket TMS, reinforcing its strategy of expanding an integrated logistics platform rather than a series of isolated tools. Freight Technologies confirmed that carriers can join Zayren through a 90-day free trial, a move intended to accelerate network density and strengthen the platform’s predictive accuracy as more real-world data feeds the model. The company also pointed to upcoming enhancements planned for 2026, including voice-enabled AI agents designed to support live procurement interactions, quote reviews, and load documentation tasks.

Why does the logistics sector view predictive analytics platforms like Zayren as increasingly essential for cost control, transparency, and carrier sourcing efficiency?

Industry analysts often emphasize that freight markets influenced by nearshoring, reshoring, and cross-border manufacturing growth have become more susceptible to rapid rate swings. Factors such as border congestion, regulatory changes, seasonal crop transport, and geopolitical shifts can push lanes sharply above or below expected cost ranges. Traditional procurement workflows struggle to adapt quickly, resulting in inefficient rate negotiation and missed opportunities to secure competitive pricing.

Within this environment, predictive analytics platforms are gaining credibility for their ability to process market signals at a scale and granularity that human teams cannot replicate manually. Shippers benefit from more precise expectations of where pricing is heading, brokers reduce friction when quoting customers, and carriers gain structured visibility into lane attractiveness. The U.S.–Mexico freight corridor in particular is expected to generate stronger demand for such tools, given its strategic importance to North American manufacturing and the increasing pressure to adopt tech-enabled compliance and documentation workflows.

Observers note that Freight Technologies is competing in a market where logistics service providers are shifting toward “decision automation” rather than simple visibility tools. By pairing pricing forecasts with algorithmic carrier recommendations, Zayren positions itself alongside a category of freight-tech solutions aiming to reduce procurement timelines from hours to minutes. Shippers are also showing heightened interest in platforms that can provide provable accuracy over time, meaning that Freight Technologies will likely face sustained pressure to publish performance metrics, error-rate improvements, and measurable efficiency gains as Zayren scales.

Beyond operational improvements, the company is tapping into a broader trend in the logistics industry—the rising importance of multimodal optimization, lane benchmarking, and dynamic routing decisions. Zayren’s architecture appears built to support these functions in future iterations, which may create opportunities to incorporate rail, port drayage, and customs documentation workflows as additional modules.

What Zayren’s launch signals about Freight Technologies’ strategic direction and how the platform could reshape its business model over time?

Freight Technologies’ existing ecosystem includes Fr8App for cross-border over-the-road shipments, Fr8Now for domestic LTL booking, Fr8Fleet for dedicated fleet operations in Mexico, Waavely for ocean freight reservations, and Fleet Rocket for transportation management software. Zayren effectively overlays this stack with a higher-value analytics layer, offering a pathway for the company to transition from transactional freight execution toward a mix of software subscriptions, AI-driven procurement solutions, and data-monetization products.

If adoption grows, Zayren could meaningfully increase platform stickiness by pushing shippers to standardize planning workflows within the Freight Technologies environment. Brokers that rely on Zayren’s predictive engine may also be more inclined to migrate to complementary modules, thereby lifting recurring revenue. The company indicated that the engine will continuously improve as more carriers join through the free-trial funnel and as additional shipment data refines its production models.

However, the strategy carries execution risks commonly associated with AI-driven platforms. Predictive accuracy depends heavily on data quality, anomaly detection, and the ability to properly capture edge cases such as unexpected customs delays, carrier cancellations, or force-majeure events. The carrier-matching layer also requires consistent onboarding, rigorous API hygiene, and high network engagement to prevent drop-off. Freight Technologies will likely need to scale customer success, support resources, and integration partnerships to ensure Zayren reaches critical mass.

Still, the launch reinforces the company’s stated long-term ambition: to build a comprehensive, AI-enhanced logistics operating system across the U.S.–Mexico freight corridor. As nearshoring accelerates and manufacturers deepen their North American footprints, solutions like Zayren may gain stronger momentum, especially among procurement teams seeking speed and cost stability.

What does the Zayren launch mean for Freight Technologies’ stock performance and how are investors interpreting the company’s AI expansion narrative?

Shares of Freight Technologies (FRGT) reacted sharply to the announcement, climbing more than 70 percent in a single session as traders positioned around the company’s entry into AI-driven freight technology. While the spike reflects short-term enthusiasm, analysts warn that FRGT remains a highly speculative micro-cap with modest revenues and a history of compressed margins. Market commentary following the announcement shows that investors view Zayren as a potentially transformative product but one that requires validation through customer adoption, retention rates, and network expansion.

Financial datasets point to a business still navigating operational headwinds. Revenue in 2024 stood near US$13.7 million, and profitability remains out of reach. Investor sentiment is leaning cautiously optimistic, with some pointing out that Freight Technologies scores low on conventional financial health metrics and continues to operate in a high-risk category. Yet the AI narrative has clearly shifted attention back to the company, and the logistics sector’s broader adoption of machine learning tools lends credibility to Freight Technologies’ strategic timing.

Institutional sentiment will likely hinge on Freight Technologies’ ability to publish practical benchmarks—such as Zayren’s forecast accuracy percentage, reductions in procurement hours among early users, and improvements in cross-border lead time selection. If the company demonstrates measurable results, FRGT could attract longer-horizon investors looking for exposure to AI in logistics. If metrics lag, sentiment may revert to skepticism, reinforcing the need for disciplined execution.

In the near term, traders are watching how Zayren feeds into bookings, backlog strength, and software-driven margin profiles. Markets are particularly attentive to announcements regarding integrations with major shippers or multinational manufacturers, as these partnerships often influence adoption curves and signal competitive differentiation.