From Manual to Automated Database: Sergei Drozhzhin on How Software Transforms Auto Dismantling

Automation, software solutions, and data analytics have evolved from an exotic option to a fundamental business development tool. The modern industrial automation market is demonstrating impressive dynamics: according to Research Nester, the market volume exceeded $234 billion in 2024, with forecasts predicting growth to $726 billion by 2037, highlighting the high demand for digital solutions. In the automotive industry, software-driven automation plays a critical role, enabling real-time demand forecasting, intelligent inventory management, and process optimization. According to analysts' forecasts, the vehicle analytics market is expected to grow at a compound annual growth rate of 24.3% through 2029. Amid this trend, a custom spreadsheet-based system developed by Sergei Drozhzhin has drawn attention for its originality and practical impact. Several companies have already expressed interest in adopting the solution, making it a notable example of how targeted tools can shape the industry's digital evolution—and the reason this article was written.

In the automotive sector, the integration of specialized software solutions is revolutionizing how businesses operate. Advanced software platforms now facilitate precise inventory tracking, automate dismantling workflows, and enhance predictive analytics, leading to a more efficient and scalable industry model. Companies that successfully implement these technologies gain a competitive edge by reducing errors, optimizing resource allocation, and improving customer service.

Sergei Drozhzhin, operational manager at Straight Six Auto Parts and owner of Straight Six Performance, has been working on integrating software-driven solutions into the auto dismantling sector for a long time. With a background in software engineering and process automation, Drozhzhin played a key role in digitizing operational workflows, making inventory tracking and sales forecasting more accurate and data-driven. His expertise in developing and deploying advanced analytical systems has redefined how the company approaches dismantling operations.

"Initially, our biggest challenge was inefficient inventory tracking and order processing delays," says Drozhzhin. "We needed a software-first approach to streamline operations." The solution came through the implementation of a comprehensive warehouse management system (WMS), coupled with a custom-made analytic spreadsheet for demand forecasting and pricing optimization. By integrating cloud-based solutions with on-premises inventory systems, the company significantly reduced processing times and improved operational transparency. Additionally, the deployment of a custom-built analytics and decision-making system enabled precise tracking of key performance indicators across departments—from vehicle procurement and dismantling to inventory management and logistics. The auction analysis tools helped increase the average profit per vehicle to $5,600 within just four months of implementation. Developed entirely by Drozhzhin himself, the spreadsheet-based system was originally created and implemented at Straight Six Auto Parts, where it delivered measurable results and became the core of the company's digital transformation. It has been registered with the US Copyright Office since July 2025. Following its proven success, the system is now entering the market as a standalone solution, with Drozhzhin leading its commercialization by making it available to automotive businesses.

The cornerstone of this digital transformation has been the deployment of custom inventory management and predictive analytics. The implementation of predictive algorithms reduced excess stock levels by 25% and optimized procurement decisions, increasing profitability by ensuring only high-demand parts were retained in inventory. This has resulted in approximately 30% improvement in inventory turnover and a 20% reduction in dead stock.

Moreover, a distributed storage system inspired by Amazon's logistics framework has been implemented, which improves order fulfillment speed and minimizes logistics errors. This shift has cut down order processing time by 40%, ensuring faster delivery and reducing operational bottlenecks. The warehouse automation system, modeled after Amazon's logistics framework, has played a critical role in streamlining operations. By automating storage, sorting, and order fulfillment, the company has significantly reduced logistics errors and labor costs, while increasing overall order processing efficiency.

Looking ahead, Drozhzhin sees further opportunities in integrating advanced AI models for supply chain optimization. "Custom-made analytic spreadsheets will become even more sophisticated, helping businesses dynamically adjust pricing and optimize procurement strategies. The financial modeling system evaluates the profitability of each vehicle before dismantling, ensuring optimal resource allocation. This strategic approach has resulted in a 212% increase in average profitability per dismantled vehicle," he notes.

Another key focus for the industry is improving dismantling efficiency through smart planning and the use of specialized tools. While Straight Six Auto Parts does not use robotics, the team relies on practical instruments and a data-driven approach to guide disassembly. Before each vehicle is dismantled, a custom spreadsheet is used to evaluate current stock levels and identify which parts are in demand. This helps dismantlers focus only on components that are likely to sell, saving time and avoiding overstocking common items. These practical improvements support the ongoing digital evolution of the industry without the need for complex automation.