Accelerating Commercial Operations with AI: Quoting at the Speed of AI

The customer is a growing industrial services provider in Argentina offering integrated engineering, metalworking, maintenance, and industrial construction services. With a specialized workforce and in-house operational capabilities, it executes plant maintenance projects for industrial organizations, helping improve operations, infrastructure, and maintenance processes.

As the client's business grew, so did the complexity of its commercial operations. The organization turned to Netrix Global, AWS Premier Tier Services Partner, to modernize a critical but increasingly difficult part of its sales process: quote generation.

The customer’s quoting process was highly manual and fragmented. To prepare a commercial proposal, sales and procurement teams had to gather and analyze information scattered across historical quotes, past sales records, supplier pricing, and internal cost data — information dispersed across emails, spreadsheets, documents, databases, and external websites.

This fragmentation created significant delays in preparing budgets, limiting the company's ability to respond to clients quickly and consistently. Much of the commercial knowledge lived with specific individuals rather than in a centralized system, increasing the risk of inconsistencies, duplicated work, and lost information.

As the volume of clients, suppliers, and quote requests grew, the process became progressively less scalable — driving up operational costs and eroding the productivity of commercial and procurement teams. The customer needed to centralize institutional knowledge, streamline information retrieval, and automate repetitive work in order to speed up quote generation, strengthen competitiveness, and support continued business growth.

Netrix Global designed and delivered an AI-powered quoting assistant built on Generative AI and Agentic AI capabilities, engineered to fit seamlessly into the client’s daily commercial workflow.

• Intuitive natural-language frontend: Netrix built a conversational interface that lets commercial and procurement users query the system in plain language — no technical training required.

• Centralized cloud data lake: Drawing on its AWS Premier Partner expertise, Netrix implemented a corporate data lake to centralize, organize, and model information from disparate sources — historical quotes, sales records, supplier pricing, and internal costs — into a single governed knowledge base.

• AI-driven retrieval and analysis: On top of this unified data foundation, the assistant retrieves and analyzes relevant information quickly and accurately, replacing manual searches across emails, spreadsheets, and disconnected systems.

• Managed, end-to-end delivery: Netrix combined cloud architecture, data engineering, and AI implementation with ongoing support — reducing manual effort, accelerating proposal generation, and improving consistency and traceability across every quote.

• Built for scale: The architecture was designed to absorb a growing volume of commercial requests without a proportional increase in operational workload, positioning the client for continued growth.