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The failure of data integration can be summarized mainly in two points: "lack of preparation of provided data" and "lack of established integration rules." Simply accumulating data is insufficient; a "transformation process" that optimizes the data into a usable format across systems is essential. Thoroughly understanding the current data retention situation and promoting integration design that aligns with the intended use is the shortcut to success. We will explain how to transform a mountain of non-standardized data into a valuable asset. We provide specific guidance in the materials on how to break down the barriers that hinder smooth data integration.

This introduction discusses the role of a "GTM Engineer," who integrates sales, marketing, and customer success through technology to design revenue systems. A GTM Engineer is not just a tool manager; they are a "revenue architect" who builds autonomous workflows using APIs and LLMs (large language models). The goal is to transform traditional labor-intensive sales styles into technology-driven approaches, achieving productivity equivalent to that of 100 people with just one individual. Elevating personalized sales processes into highly reproducible systems is key to accelerating growth in the manufacturing industry. The definition and role of GTM engineering aimed at maximizing revenue are explained in detail in the materials provided.

We will explain an advanced design philosophy that derives optimal solutions by combining the best tools from each area without relying on a massive single system. In modern GTM engineering, CRM systems like Salesforce and HubSpot serve as data hubs, while the iPaaS "n8n" acts as the glue to connect various systems. For example, it is possible to implement autonomous workflows that automatically collect customer signals from external sources and generate personalized proposal emails using LLM. This composable design enables flexible scalability and rapid on-site support that adapts to changes in the business. Examples of automated workflows using advanced AI and API integrations can be found in the materials.

The true value of AI implementation goes beyond mere labor cost reduction. We will explain the impact it has on both revenue growth (top line) and cost reduction (bottom line). In case studies within the manufacturing industry, we have achieved annual revenue increases of 1-3% through the reactivation of dormant customers and improved order accuracy. At the same time, we have reduced administrative labor by 30-50% through automation of CRM input, significantly improving overall organizational productivity. By preventing cases from being neglected through AI alerts and utilizing customer signals at the right timing, we build a "proactive" foundation that minimizes opportunity loss and maximizes order probability. For detailed KPI metrics that achieve both revenue improvement and labor cost reduction simultaneously, please download the materials for more information.

This document explains the DX strategy for transforming on-site data into profits and increasing sales. It includes the three levels of proficiency in AI-Ready, the reasons why traditional SFA/CRM implementations fail, a new approach called "GTM Engineering," and case studies of AI-Readiness in chemical trading companies. It also contains information about our free AI-Ready assessment (current status diagnosis). Please make use of it. 【Contents】 ■ Current state of AI utilization: Explanation of the strategic shift from defense to offense ■ Limitations of traditional sales DX: Three barriers that lead to failure with just tool implementation ■ GTM Engineering: Definition and role of a new approach to designing revenue ■ Case studies and successful models: AI-Readiness and Quick Wins in chemical trading companies ■ Expected return on investment: Impact on top line and bottom line ■ NTP's solution: Comprehensive implementation support services closely tied to the field *For more details, please download the PDF or feel free to contact us.

This document is an explanatory material about designing GTM strategies that walk together on the "shortest path" to monetization and engineering that enhances the "order rate" at the forefront with technical expertise. It introduces monetization through target identification, messaging, and on-site execution, as well as "RevOps," which centrally manages sales data from all customer touchpoints, and showcases achievements from market development to overwhelming sales growth. Our specialized consultants will work closely with your front line to unravel challenges. Let's start together by organizing your information structure. Please feel free to contact us for inquiries or consultations. 【Contents】 ■ Consulting | GTM Strategy Design: Walking together on the "shortest path" to monetization ■ Engineering | GTM Stack Construction & RevOps: A seamless data infrastructure ■ Engineering | Sales Engineering: Enhancing the "order rate" at the forefront with technical expertise ■ Case Studies | Achievements: From market development to overwhelming sales growth ■ Next Step | Taking the first step towards your "AI-Ready" together *For more details, please download the PDF or feel free to contact us.