Inefficient Processes, Untapped Potential, High Costs — How Companies Are Optimizing Their Processes. — Photo by © By Song_about_summer stock.adobe.com
Companies that want to remain successful and competitive in the long run need to keep evolving and improving. But reality often looks different: in practice, many companies struggle with inefficient workflows, untapped potential, and outdated processes that not only drive up costs but also hold back innovation.
Standing still is falling behind — but change doesn't happen on its own. Anyone who doesn't want to fall behind must regularly question and optimize their processes. Companies that build lean structures, embrace automation, and avoid unnecessary complexity can work more efficiently and more profitably. This article shows how that works in practice.
In many companies — especially in machinery, plant, and tool engineering, as well as other manufacturing industries — a recurring problem has been visible for years: processes are inefficient,, decisions take too long, and structures are rigid. The signs of inefficient processes are usually clear — yet the companies affected remain stuck in old patterns, and implementation is rarely carried out consistently and with discipline. It's worth every decision-maker having an honest conversation with employees — truly honest. The people who work in that environment every day know exactly what isn't working, and they know how it could work better.
In manufacturing companies especially, the result is rising unit costs, delivery delays, and high complaint rates. These shortcomings directly affect customer satisfaction — and put the company's reputation at risk. Such reputational damage is not a minor detail — it can have dramatic consequences. After all, acquiring new customers is far more costly and time-consuming than maintaining existing customer relationships.
Another sign of organizational weakness is inefficient inventory management and unnecessary waste of resources in order processing. The more spreadsheets are used in parallel with core systems like CRM, ERP, or production planning, the more serious the shortcomings in the organization tend to be.
The problem in many companies is simply that they only treat the symptoms instead of looking at the underlying causes. The reason for this is fairly obvious: the deeper problems usually take significant effort to fix. Yet this effort is exactly what's needed to achieve lasting improvement. It starts with master data quality in the ERP system. Incomplete, inconsistent, duplicate, or outdated data has a negative impact on every downstream process — from procurement through production to delivery.
But poorly trained employees working with ERP systems are also part of the problem. Oversized software solutions or unclear responsibilities between departments such as sales, production planning, and quality assurance lead to unnecessary friction, with serious consequences for the company. Add organizational weaknesses such as a lack of leadership skills, excessive customization of the product portfolio driven by sales, or inconsistent prioritization, and the impact on the bottom line becomes dramatic.
Companies that want to sustainably improve their processes need to understand that data quality forms the basis for every operational and strategic decision . Flawed master data acts like a disruptive force running through the entire value chain.
The first step toward optimization is a well-structured, thorough assessment. A solid value stream analysis helps systematically document and critically question existing workflows. This often reveals outdated routines, unnecessary loops, and untapped efficiency potential. Companies should also draw on the knowledge and experience of their own employees, who usually know the system's weaknesses best.
Tackling the required analysis calls for organizational skill, methodological confidence, and strong execution. External expertise, for example through an experienced interim manager, can help drive change processes forward in a targeted way without disrupting day-to-day business — and without giving management yet another project to worry about.
A look ahead also shows: companies that engage too late, or not at all, with integrating artificial intelligence (AI) will lose competitiveness in the medium term. It's correspondingly important to engage with this topic early on. But here too, the rule applies: the quality and availability of data is the decisive prerequisite for successfully using AI, whether in sales, production, HR, or accounting.
A tailored CRM system is therefore a sensible step for most companies to prepare for the future. When choosing one, companies should look for a solution that is not only powerful, but also user-friendly. As a next step concrete AI strategies can be developed, tailored to different areas of the company and their specific needs.
The effort pays off: companies that follow this path consistently gain not only efficiency, but also flexibility, innovative strength, and resilience.
Gert Löhmer is the founder and managing director of GL Consulting & Interim. With his team, he specializes in leading machinery and plant engineering companies, tool makers, contract manufacturers, and many others out of crisis — operationally and strategically. At the same time, he focuses on optimizing internal processes, communication, and culture. This is how he sets the course for a successful future.