SpecSync Launches AI Platform to Overhaul Custom Manufacturing Quoting

INDIANAPOLIS, IN – March 10, 2026 – A new technology firm, SpecSync, officially launched today at the Work Truck Week conference, unveiling an artificial intelligence-powered platform aimed at solving one of the most persistent bottlenecks in industrial sales: the slow, complex process of configuring and quoting made-to-order products. The launch was marked by the announcement of a strategic partnership with Wabash National Corporation (NYSE: WNC), one of the largest manufacturers of trailers and truck bodies, signaling a significant move by industry leaders to embrace digital modernization.

For decades, manufacturers of complex equipment have grappled with a sales process that is often manual, disconnected, and heavily reliant on spreadsheets and tribal knowledge. This frequently results in quote turnaround times stretching from days into weeks, creating friction for customers and leading to lost sales. SpecSync enters this challenging landscape with a bold promise: to reduce those quote times to mere minutes.

"Made-to-order manufacturing doesn't have to mean slow, manual quoting processes," said George Gallegos, Founder and CEO of SpecSync, in a statement. "We built SpecSync to turn configuration complexity into a competitive advantage. Our partnership with Wabash validates that major manufacturers are ready to modernize and enable dealers in new ways without replacing their core systems."

A New Intelligence Layer for an Old Problem

At the core of SpecSync's offering is an AI engine designed to function differently from traditional Configure, Price, Quote (CPQ) systems. While many existing CPQ solutions rely on rigid, rule-based logic that requires extensive manual programming to define every possible product combination, SpecSync's platform is built to learn. By analyzing historical data from a manufacturer's past orders—both successful and unsuccessful—the AI can identify patterns, understand product affinities, and surface insights that were previously hidden within siloed datasets.

This data-driven approach moves beyond simply ensuring a configuration is technically valid. It enables a more intelligent, guided selling process. The platform can recommend optimal configurations based on a customer's needs and past purchasing trends, suggest profitable upsells, and provide real-time quote comparisons. For manufacturers, this translates into a powerful analytical tool that can reveal which product features are most popular, where standardization is possible, and how to optimize offerings for better margins and manufacturability.

This marks a significant evolution from the first generation of CPQ tools, which focused primarily on enforcing constraints. SpecSync's AI represents a shift toward a predictive and prescriptive model, aiming not just to prevent errors but to actively guide sales teams toward the best possible outcome for both the customer and the manufacturer.

Wabash's Strategic Leap into Modern Sales

The partnership with Wabash provides a powerful real-world test case for this technology. As a leading manufacturer of a diverse range of transportation equipment, from dry and refrigerated trailers to tank trailers and truck bodies, Wabash manages an immense number of potential configurations. Each custom order requires precise specifications to meet customer, application, and regulatory requirements.

For a company of this scale, the inefficiencies of a slow quoting process can ripple throughout the entire value chain, impacting dealer productivity, customer satisfaction, and production planning. By adopting SpecSync's platform, Wabash is aiming to fundamentally streamline this experience.

“SpecSync addresses a longstanding challenge in the heavy equipment industry,” commented Drew Schwartzhoff, SVP and Chief Commercial Officer at Wabash. “Customers often require highly customized equipment, but the quoting process has traditionally been time-consuming and complex. SpecSync enables dealers and commercial teams to navigate thousands of configuration options with greater speed, accuracy, and confidence—creating a more streamlined and responsive buying experience.”

This move reflects a broader industry trend where B2B buyer expectations are increasingly shaped by their experiences in the consumer world. A 2023 report on B2B manufacturing found that while 76% of buyers now demand speed and transparency, only 20% of manufacturers are equipped to deliver it for custom products. By empowering its vast dealer network with this new tool, Wabash is making a direct investment in closing that gap.

Bridging the Digital Divide Without 'Rip and Replace'

Perhaps one of SpecSync's most critical value propositions is its pragmatic approach to integration. Many digital transformation projects in the industrial sector stall due to the monumental cost and disruption associated with replacing legacy Enterprise Resource Planning (ERP) systems, which often serve as the central nervous system of a manufacturing operation.

SpecSync is designed to act as an intelligent bridge, connecting these deeply entrenched core systems with a modern, user-friendly front-end sales experience. This allows manufacturers like Wabash to leverage the decades of valuable data stored in their ERPs without undertaking a risky and expensive "rip and replace" initiative. The platform effectively creates a new, agile layer that unlocks the data needed for fast, accurate quoting while leaving the underlying infrastructure intact.

This approach is particularly appealing for an industry that is often characterized as being slow to adopt new technology. By lowering the barrier to modernization, SpecSync could accelerate the digital shift across heavy equipment and adjacent made-to-order industries. The company, led by Gallegos—a 30-year enterprise software veteran with leadership experience at Jitterbit, Oracle, and C3.ai—recently closed an undisclosed funding round. The capital will be used to expand its product development team, further scale its AI capabilities, and support the growing demand from other OEMs facing similar configuration challenges.