Tabi Connect Unveils AI Engine That Turns Plain English into Freight Pricing Logic

LAS VEGAS, NV – February 09, 2026 – At the Manifest 2026 global supply chain summit, Tabi Connect, a logistics technology firm, today launched a new platform that aims to fundamentally change how freight pricing is managed. The company's AI Dynamic Business Rules Engine is designed to let freight brokers and pricing teams build, adjust, and deploy complex pricing strategies using simple, natural language commands, eliminating the need for coding or manual data entry across countless spreadsheets.

The announcement, made amidst a flurry of AI-related reveals at the influential Las Vegas event, signals a significant shift away from the traditional, often cumbersome methods that have long defined freight quoting. By translating plain English into structured business logic, Tabi Connect aims to empower logistics professionals to react to market volatility in real time, turning decades of hands-on experience into scalable, automated, and auditable strategies.

The End of Tribal Knowledge?

For years, the freight brokerage industry has run on a combination of manual workflows, disparate systems, and what is often called 'tribal knowledge'—the unwritten expertise held by seasoned pricing managers. The daily process involved juggling shipper portals, emails, and internal transportation management systems (TMS), often copying and pasting data into complex spreadsheets where experience-based assumptions were applied to calculate a final rate. This method, while functional, is notoriously slow, prone to human error, inconsistent from one user to another, and nearly impossible to scale without adding significant headcount.

Tabi Connect's new engine is engineered to replace this fragmented approach with a unified, intelligent decision layer. The system centralizes inbound quote requests from various sources—including emails, APIs, and shipper platforms—and applies a dynamic set of rules that can be updated instantly.

“Freight brokers operate in highly dynamic markets, yet most pricing systems still depend on static rules and heavy manual input,” said Ricardo Gonzalez, CEO and Co-Founder of Tabi Connect, in a statement accompanying the launch. The goal is to move beyond static margin percentages and create a system that can account for a multitude of real-time variables.

Democratizing Strategy with Natural Language

The most significant aspect of the new platform is its embedded AI Assistant. This feature acts as an interpreter, allowing a user to type a command such as, “Increase our margin by 3% for all spot quotes going into Florida for the next 72 hours,” and have the system automatically generate and implement the corresponding structured rule. This no-code approach effectively democratizes pricing strategy, taking it out of the hands of IT departments or specialized analysts and placing it directly into the control of the business users who understand the market best.

This capability addresses a major bottleneck in technology adoption within logistics: the steep learning curve and reliance on technical expertise. By lowering the barrier to entry, the platform enables pricing teams to become more self-sufficient. They can stack multiple parameters—including lane history, customer tier, equipment type, accessorials, and current market conditions—into flexible rules. Crucially, these changes are non-destructive, meaning new rules can be layered over existing logic without risking the entire system's integrity, a common fear in legacy software environments.

Building Agility in a Volatile Market

The core value proposition of a dynamic rules engine is agility. The freight market is subject to constant fluctuation from fuel prices, weather events, seasonal demand, and shifting carrier capacity. A static annual tariff or a manually updated spreadsheet simply cannot keep pace. Tabi Connect’s engine is designed to allow brokerages to pivot their strategy on a dime, adjusting rates across thousands of potential transactions in response to a single market signal.

This speed, however, does not come at the expense of control. For any large-scale brokerage, governance and auditability are non-negotiable. The new engine includes built-in versioning, user-based permissions, and rollback capabilities. Every change made to the pricing logic is tracked, traceable to a specific user, and reversible. This creates a full audit trail, which is critical for compliance, internal review, and understanding the impact of specific strategic decisions on profitability.

This combination of flexibility and control allows brokerages to experiment with new pricing models with reduced risk, knowing they can revert to a previous state if a new strategy does not yield the expected results.

From Buzzword to Bottom Line: Proving AI's ROI

Amid an industry saturated with AI hype, Tabi Connect is focusing on tangible outcomes. The company highlights a case where its technology helped a brokerage with over $4 billion in revenue generate more than $100 million in new revenue—a claim substantiated by a recent partnership with MODE Global, a major multi-brand 3PL. While specific financial attributions are complex, the partnership underscores the platform's appeal to large-scale operators seeking efficiency and growth.

Success stories from other customers further ground the technology's impact. Gillson, a logistics provider, reported a 570% increase in load count and a 665% revenue jump within six months of implementing Tabi Connect's automation, all without expanding its pricing team. Other users, such as Cornerstone Systems and Legacy, have reported streamlined workflows and higher conversion rates on quotes.

These results illustrate a clear return on investment, positioning the AI not as a futuristic concept but as a practical tool for solving immediate business problems. By automating the repetitive, low-value tasks of data entry and basic quoting, it frees up experienced professionals to focus on higher-value activities like strategic analysis and relationship management.

Navigating the New Wave of Logistics AI

Tabi Connect's launch at Manifest 2026 places it squarely within a major industry trend. Competitors and established players alike are rushing to integrate artificial intelligence to optimize everything from warehouse operations to global trade compliance. The event floor was filled with companies touting AI-driven analytics, automation, and visibility solutions.

In this crowded field, the key differentiator often comes down to user experience and practical application. While many solutions focus on backend data processing, Tabi Connect’s emphasis on a “plain English” interface for business users offers a distinct, human-centric approach. By focusing on translating human intent into machine logic, the company is betting that the most successful technology will be the one that empowers people, rather than just replacing them. This focus on augmenting the skills of existing logistics professionals may well define the next phase of the industry’s digital transformation.