Toronto, December 1, 2023 - For an average B2B e-commerce website dealing with thousands of categories, creating a labeled dataset for query classification is not only expensive but also time-consuming and labor-intensive. Moreover, product search queries are brief, and the vocabulary evolves over time with changes in the catalog. Streamlining the process of generating query-category labels is essential, offering significant savings in both time and resources.

Metal Networks.AI, established in 2017, has been addressing this industry challenge with a clear objective: to speed up and digitize the product information challenges faced by suppliers in the industry. The company predicted the need for the product before it was encouraged to adopt by one-third of the executives in their companies in 2022.

The company announced that it has received growing attention for one of its standout solutions - JAQi®. This AI Product Translation and Search Engine translates, automates, and classifies intricate data and product specifications. Its primary objective is to simplify the manual process of catalog matching and establish a streamlined product taxonomy.

CEO, Joe Graci says, “The current manual processes and communication gaps within the supply chain industry hinder efficiency and impede the transition to a digital future. With JAQi, we aim to break down these barriers through solutions that streamline workflows and provides faster and smarter ways to improve the customer procurement experience.”

Why JAQi®?

For businesses competing against industry giants without the luxury of extensive teams of data scientists and AI experts, JAQi's AI & Machine Learning becomes a leveling tool. Often, these organizations opt for a DIY approach, trying to emulate larger players by implementing labor-intensive processes to organize search results and align them with ranked products and categories.

JAQi is made to address this challenge in just a few clicks. It empowers these organizations to dynamically align queries with relevant categories, all at an enterprise scale.

JAQi helps product managers, business users, and non-tech practitioners in e-commerce to gain profound insights into consumer intent during the initial stages of a search. This insight translates into increased conversions and revenue. Furthermore, JAQi's Categorization feature facilitates the operationalization of strategies across entire product categories, ensuring precise prediction of the correct category linked to search queries.

By harnessing customer interaction data and employing advanced AI algorithms, this AI model undergoes training specific to each product catalog and its users, delivering optimal results tailored to individual businesses. This streamlined approach significantly diminishes the setup and ongoing manual maintenance efforts related to online product catalogs.

Joe says, "Our goals for JAQi® are ambitious yet straightforward. We aim to see JAQi® become the go-to solution for industries seeking a seamless transition into the digital era. We envision JAQi® not just as a product but as a catalyst for change, redefining how industrial processes operate."

The company's future plans include market expansion, ongoing product development, and strategic innovation to adapt to industry evolution proactively. By forging strategic relationships, Metal Networks.AI aims to enhance its offerings and explore new market opportunities. The vision of the founding team revolves around positioning Metal Networks.AI as a key player in the ongoing digital transformation of B2B supply chains, envisioning streamlined workflows, heightened efficiency, and widespread digitization.

About Metal Networks.AI
Founded in 2017, Metal Networks.AI is at the forefront of B2B e-commerce supply chain management. They empower sales teams and e-commerce buyers with intelligent workflow and collaboration tools, accelerating sales while addressing industry challenges like high volumes, fragmentation, changing demographics, and technology disruption. With cloud-based, AI-driven technology solutions that support digital transformation and Industry 4.0 initiatives, they make industrial supply chain management streamlined, efficient, and productive.