In the current state of Maintenance Operations, surprisingly, even larger, heavily staffed companies also struggle with modernising their maintenance operations, leading to wastage, excessive overheads, and prolonged halts in production processes that hurt profitability significantly.
Even the most well-resourced organisations are still using outdated, purely reactive maintenance practices such as manual, human-driven workflows, paper-based methods, and outdated software that are ill-suited to today’s heavy and complex production environment.
Take a case where unplanned downtime resulting from equipment failure can cost companies millions of dollars a year, some figures suggest even one hour of downtime in manufacturing or energy industries can cause losses exceeding $100,000.
These inefficiencies not only inflate operational budgets but also contribute to prolonged halts in production processes, completely disrupting supply chains and directly impacting the company’s top line.
Furthermore, the absence of standardised, data-driven maintenance protocols across facilities exacerbates inconsistencies, making it difficult to scale best practices or optimise resource allocation.
As a result, these systemic shortcomings significantly undermine profitability, leaving companies struggling to maintain competitiveness in an era where operational agility and cost-efficiency are paramount.
As operations scale, it is only natural for any given process to fracture, become inundated with inefficiencies, but in today’s world, AI-embedded software can solve for almost all of these challenges, said Mr. Kumar Gupta, the CEO of Verdantis.
The company has been a specialist in master data management for Manufacturing and production-heavy enterprises for over two decades now and has done some pioneering work in the space of master data management for companies with diverse MRO requirements, most of which goes beyond traditional data management.
As a natural succession to its existing offering, the company is building additional software products that enable seamless management of key MRO processes that drive measurable impact in as little as 3-6 months after implementation.
Even though several companies in this space are multi-billion $ enterprises, observing the gaps in this space was a striking realisation, and we are confident in our ability to drive tangible value through a software-driven approach, added Kumar as he spoke about the newly launched products and the product roadmap.
“Beyond the hype, we’re seeing very successful results in Agentic AI solutions across key maintenance processes like Work Order Management, Inventory Optimisation, Real-time Data Enrichment and Governance, and Automations in Maintenance Management and Predictive Maintenance”, said Kumar, as he shared the future vision for Verdantis.
This is a dire need at this point. It is estimated that nearly 82% of companies in the space have experienced unplanned downtime over the past three years, and that unplanned downtime can cost a company as much as $260,000 an hour, according to a much-referenced research by Machine Metrics.
A 2023 ABB report, based on a survey conducted by Sapio Research of 3,215 plant maintenance leaders across the globe, found that outages cost the typical industrial business a hefty $125,000 USD per hour. A significant 69 percent of plants experience unplanned outages at least once a month.
Verdantis provides a comprehensive and effective way of controlling and managing the fixed assets and streamlining the operational processes in asset-intensive industries, majorly such as Oil, Gas & Energy, Manufacturing, Mining, and Food and Beverages.
With over two decades of expertise, Verdantis continues to empower Fortune 500 companies across 10+ industries, enabling them to streamline maintenance operations with reliable data synchronised across ERP, CMMS, and inventory management software. In asset-intensive industries, effective spare parts and obsolescence management are critical to maintaining smooth business operations. Verdantis has addressed the challenges that arise when these issues disrupt production functions.
Under the leadership of CEO Kumar Gaurav Gupta, Verdantis is doubling down on its mission to become an “AI Super-Agent for MRO Teams”.
“These AI agents redefine how businesses manage their data,” said Kumar Gaurav Gupta. “By automating most of the data and information management processes, we’re using Artificial Intelligence to ensure that most of the heavy lifting is done by technology with humans in the loop to bridge the gap with superior decision-making abilities”.
