The Good Tech Companies - When Robots Meet Legacy Software: Behind the Tech Revolutionizing Warehouse Floors

Episode Date: September 4, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/when-robots-meet-legacy-software-behind-the-tech-revolutionizing-warehouse-floors. Ravikumar Palanichamy modernized warehouses by linking legacy ERP with handheld devices, cutting costs 35% and saving 320 hours monthly. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #warehouse-automation, #ravikumar-palanichamy-it, #erp-mes-data-reconciliation, #cycle-count-automation, #mulesoft-api-integration, #microsoft-.net, #azure-cloud-manufacturing-it, #good-company, and more. This story was written by: @kashvipandey. Learn more about this writer by checking @kashvipandey's about page, and for more stories, please visit hackernoon.com. Ravikumar Palanichamy revolutionized warehouse operations by integrating modern handheld scanners with legacy ERP systems using a .NET portal and MuleSoft APIs. The project cut costs by 35%, eliminated 320 hours of manual data entry monthly, and boosted accuracy with real-time validation. With a user-friendly design and strong training, it proves incremental modernization can deliver immediate ROI without costly ERP overhauls.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. When robots meet Legacy Software, behind the tech revolutionizing warehouse floors, by Cush v. Pondi. In warehouses across America, a quiet revolution is underway. Modern handheld scanners and cloud technology are breathing new life into decades-old inventory systems. The marriage of advanced hardware with legacy software might not sound glamorous, but it's saving companies millions while avoiding costly overhauls. The biggest challenge wasn't the technology itself. It was making modern devices talk to ERP systems built when Windows 95 was cutting edge, says Ravakumar Palanichami, a seasoned IT professional with

over 23 years of experience in business process development and ERP systems. Polonichami has specialized in Infor-Enterprise resource planning, formerly Bonn, throughout his career. His recent leadership on a transformative cycle count automation project demonstrates how these technological gaps can be bridged effectively. We needed to create this integration without breaking the bank, he explains. For decades, warehouse workers have trudged through aisles with clipboards, manually recording inventory counts. These paper records were then handed to office staff who keyed the data into legacy enterprise resource planning, ERP systems, often software platforms dating back to the late 1990s. Thine efficiency was staggering. At one facility, this process consumed

320 hours o'flabor monthly, equivalent to two full-time employees doing nothing but data entry. When you're running a warehouse, every minute counts, Palanichami explains. Staff were spending hours on administrative tasks instead of focusing on logistics and customer service. Rather than ripping out multi-million dollar ERP systems, his team developed a clever workaround, a Microsoft net-based portal that connects modern handheld devices directly to legacy systems through APIs. We looked at the ERP replacement quotes and nearly had a heart attack, he recalls. Instead, we created an interface layer using Mulesoft that lets new devices communicate withhold systems. It's like teaching your grandparents to text. You don't need to replace everything,

just provide the right tools to help them adapt. The portal displays inventory data across 13 time periods, color coded to show discrepancies between the ERP system, which tracks standard parts and the manufacturing execution system, MES, that monitors work in progress inventory. The results were immediate and significant. Manual data entry disappeared overnight. Costs dropped by 35%. The 320 monthly hours previously devoted to paperwork were redirected to higher value activities. Before implementation, analysts spent more time reconciling data than analyzing it,

Polanichami notes. Now they can see everything on a single screen, past counts, current inventory. inventory, and future projections, with problem areas highlighted automatically. For warehouse staff, the change was equally dramatic. Instead of recording counts on paper, they now scan items with handheld devices that instantly validate entries against expected quantities. The project's success hinged on more than just technical integration. Polanichami deliberately designed the portal to mimic interfaces that users already knew.

We made it look like the MES system they use daily, he explains. When cycle count analysts first logged in, their reaction was basically, oh, I know how'd house this. That instant familiarity was critical to adoption. This human-centered approach extended to training. Rather than dropping new technology on users with minimal instruction, the team conducted hands-on workshops and created intuitive, visual workflows. Looking ahead, Palanachami sees the project as just the beginning of a broader transformation in warehouse operations. The API-first approach provides a foundation for additional automation. Drawing on his extensive experience with legacy systems, the professional highlights data reconciliation as one of the most persistent challenges

in manufacturing IT. Reconciling data between ERPAND MES systems has always been a headache for inventory managers, he explains. The color-coded period buckets we implemented provide a visual solution that on scale to other inventory processes. The project's success has solidified his belief in incremental modernization strategies. Azure-based cloud solutions offer the scalability and security that manufacturing needs without replacing core systems, Palanachami notes. In the coming years, we'll see more low-code platforms simplifying these integrations, making this approach accessible even to smaller manufacturers. For companies embarking on similar projects, he emphasizes the importance of building modular, reusable APIs that can adapt to future changes. Use technologies

like Mulesoft to create interfaces that will work with tomorrow's devices, not just today's, he advises. And never underestimate the importance of training, the best technology fails without user buy-in. Particularly exciting to the expert is the emergence of eye-driven inventory management. We're seeing early applications of machine learning that can predict optimal cycle count schedules based on historical patterns and ABC classification, he says. Combining these predictive capabilities with our portal could further reduce manual intervention and improve accuracy. The next frontier is integrating IoT sensors with these systems, he predicts. Imagine inventory that counts itself, with handheld devices only needed for verification.

We're not far from that reality. For manufacturers still relying on legacy systems, Polonichami offers pragmatic advice. Don't let Perfect be the enemy of good. You don't need to spend millions replacing functional systems. Focus on smart integration that deliver. its immediate ROI. As cloud-based systems continue to evolve and AI-driven inventory prediction becomes more sophisticated, the opportunities for further automation expand. But the core principle remains. Technology should serve people, not the other way around. At the end of the day,

we reduced costs and improved efficiency, Palanachamai concludes. But the real victory is seeing warehouse staff engaged in meaningful work instead of data entry. That's the human benefit behind all the technical jargon. For manufacturers navigating the complex field of modernization, this balanced approach, respecting existing investments while embracing new capabilities, offers a roadmap to digital transformation that delivers immediate value without breaking the bank. This story was distributed as a release by Kushvi Pondi under Hackernoon's business blogging program. Thank you for listening to this Hackernoon story, read by artificial intelligence. Visit hackernoon.com to read, write, learn and publish.