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Implementing an ERP system is a moment that often grows into a myth within organizations. For months – sometimes years – the company lives inside the project, wrestling with data migration, testing, integrations, and configuration. Eventually, the go‑live day arrives. The project team holds its breath. Leadership watches the screens as if they were observing a Mars rover landing. Users pray the system won’t explode. And when the first order successfully flows through the system, someone says the magic words: “We did it.” Except… that’s not true. Go live is not a success. Go live is a test. And the real success begins only afterwards. What happens after go live determines everything. The first 90 days, the first year, and the way the organization builds a continuous improvement model ultimately decide whether the ERP becomes a growth platform – or just another system people work around. This article is a guide through these three stages, built on real implementations, real mistakes, and real successes. It is a whitepaper for organizations that want their ERP to generate value – not just transactions. Go Live: The Moment of Truth That Only Opens the Real Journey Go live is the moment when the system meets reality for the first time. And as usual, reality rarely behaves according to the process documentation. This is when you discover whether the data is truly clean, the integrations truly stable, and the users truly trained. It is also the moment when you learn whether the organization is ready for change – or merely ready for an implementation. Go live is not a success. Go live is only the beginning. Many companies declare success because: orders are being processed, invoices are posting, the warehouse hasn’t stopped, production hasn’t blown up. But that is a very low bar. It’s like buying a car and calling it a success simply because the engine started. The real question is: Is the organization working better than before the implementation? In most cases, the answer is: not yet. And that’s normal – as long as the company has a plan for what happens next. The First 90 Days: The Period That Determines User Adoption and Whether ERP Becomes a Foundation or a Problem The first 90 days are the most critical stage in the life of an ERP system. This is when user habits form, processes stabilize, data and integration issues surface, and the organization decides whether it will work in the system or around it. Stabilization Is a Process, Not a Reaction The biggest mistake after go live is switching into firefighting mode. The implementation team responds to user tickets but does not manage stabilization as a structured process. As a result, changes are introduced chaotically, processes lose coherence, and users lose trust in the system. Stabilization must be managed like a project – not like a helpdesk. You need: a working rhythm, clear priorities, defined responsibilities, decision‑making mechanisms, clear rules for what gets fixed immediately and what goes into the backlog. Without this, even the best configuration will start to fall apart. Training in Context, Not in Theory Before go live, users learn the system in laboratory conditions. After go live, they learn it for real. This is when they begin to understand why inventory reservations behave the way they do, how production scheduling reacts to changes, what a posting error means, and how to handle warehouse exceptions. Training must be delivered in the live system, in real processes, with real data. Otherwise, users will return to Excel faster than you can say “workflow.” Monitoring System Health Before Symptoms Appear In the first 90 days, the organization must actively monitor system health: integration errors, batch performance, master data quality, posting accuracy, and trends in user tickets. This is the period when small issues can have massive consequences. ERP doesn’t break suddenly. ERP breaks quietly. The Biggest Risk: Normalizing Workarounds If users return to Excel in the first weeks, they will stay there for years. If they start bypassing processes, those workarounds will become the norm. If they start entering data “the quick way,” the system will lose credibility. The first 90 days require absolute discipline. If a process is meant to run in ERP – it must run in ERP. What Must Be Ready Before Go Live You must enter go live with: a support model, change governance, an optimization backlog, a training plan, system monitoring mechanisms. Equally important: assigning process owners and defining RACI (Responsible, Accountable, Consulted, Informed). Without this, go live becomes a leap into the unknown. The First Year of ERP: The Period That Determines Business Value The first year is when the organization should move from stabilization to optimization, and then to development. This is when ERP begins to deliver real value – provided the company has a plan. Why Companies Don’t Have a First‑Year Plan Most often for three reasons: implementation fatigue, no ERP owner, confusing stabilization with optimization. As a result, the organization is left alone with a system that is only beginning to live its own life. What Should Happen in the First Year Stabilization – the system must become predictable. This is the foundation. Optimization – this is when you streamline processes, automate workflows,improve data and integrations. This is when ERP starts generating value. Development – time for advanced modules, financial automation, SCM/CRM integrations, predictive analytics, and preparing for AI. The Role of the D365 F&SCM Architect The architect is the guardian of process consistency, data quality, and alignment with the roadmap. Without an architect, the system begins to drift. With an architect, the system begins to grow. The Biggest Risks in the First Year Returning to Excel. Master data degradation. Lack of change control. No process owners. No measurement of value. How to Build a First‑Year Plan You must build a 12‑month roadmap – it is the only way to move from stabilization to real value. Without it, the organization drifts and change decisions become random. Define process KPIs – they are the only way to assess whether ERP performs better than the previous system. Without KPIs, it’s easy to fall into the illusion of “the system works, so everything is fine.” Assign process owners – only they can be accountable for data quality, decisions, and development. Without owners, every department pulls the system in a different direction. Establish governance – without it, changes will be introduced ad hoc, often without impact analysis. And finally – involve the architect in every change. The architect safeguards architectural coherence and protects the organization from configuration chaos. The Continuous Improvement Model: The Stage That Separates Average Companies from Leaders The best organizations treat ERP not as a project but as a platform for continuous improvement. This is where the greatest value emerges. Why Optimization Matters More Than Implementation Implementation gives you tools. Optimization gives you outcomes. Without it, ERP remains a transactional system. With it, ERP becomes a growth platform. What a Continuous Improvement Model Looks Like You must build governance – it is the only way to manage changes predictably and in a controlled manner. Without governance, the system begins to live its own life. You must maintain an optimization backlog – it collects ideas, issues, and improvements. Without a backlog, the organization reacts instead of planning. You must work in quarterly cycles – only regularity sustains development momentum. And you must have an architect – without one, the system becomes a patchwork. Areas with the Highest Potential The greatest returns come from: warehouse & logistics, production, finance, planning. These areas benefit most from automation, data improvement, and process optimization. The Most Common Mistakes The most frequent mistakes are: no process owners, no backlog, ad hoc changes, no architect, no measurement of outcomes. How to Start – Building a Foundation That Actually Works ERP Optimization Committee – the only structure that ensures strategic, not reactive, development. Without it, ERP drifts and changes are driven by short‑term pressure rather than strategy. Process KPIs – your shield against the illusion of “the system works, so everything is fine.” KPIs reveal whether processes are stable, data is reliable, and users follow the target operating model. Optimization backlog – your safety buffer. It prevents chaos, enables prioritization, and ensures visibility of all improvement needs. Process owners – the only people who can be accountable for data, decisions, and process evolution. Without them, ERP becomes a patchwork of local variants. Architect involvement – essential for protecting architectural integrity. Without an architect, every change becomes a structural risk. Summary: The Three Stages That Determine ERP Success Go live determines whether the system starts. The first 90 days determine user adoption. The first year determines business value. Continuous improvement determines competitive advantage. Organizations that consciously manage these stages build ERP as a platform for growth. Those that don’t end up with a system that works – but changes nothing. If you aim to develop your ERP consciously and turn it into a true growth platform, our xalution practitioners are ready to support you. Let’s start the conversation.

Manufacturing Resource Planning (MRP 2) is a direct development of the MRP concept (MRP I, MRP 1). It is an essential element of the IT infrastructure for manufacturing companies. In this article, we analyze the functionality of the MRP system and what is worth knowing when choosing a solution to support production processes. What is MRP and how does it work? MRP (Material Requirements Planning) is a method used to precisely calculate the materials and components needed to manufacture a product. The MRP method functions both as a theoretical planning concept and as advanced software. In a systemic approach, it is most commonly found in three forms: As an element of integrated ERP systems, As part of Capacity Requirements Planning (CRP) systems, As a standalone, dedicated MRP system. Production Management Systems and Resource Planning In the classic approach, the MRP 1 method is based on the “push” model. This means that the demand for raw materials is determined in advance based on sales forecasts. Goods are then produced or purchased according to the “make or buy” principle to meet the predicted demand. Modern production management systems also include modules such as: Financial and sales planning, Strategic management, Shop Floor Control (SFC) – enabling the exchange of priority information between the planner and workstations. In contrast, concepts like Lean Production operate on a “pull” model, where the production impulse comes from an actual order rather than a forecast. What is MRP 2? History and Evolution MRP 2 (or MRP II) stands for Manufacturing Resource Planning. Its history began in the 1980s when it was developed as an extension of the MRP 1 method. At that time, it was intended to provide companies with planning for all resources, not just materials. In addition to inventory, the MRP II system considers: Availability of machines and equipment, Human capital (labor force), Production capacities and schedules, Financial flows. Functions of the MRP 2 System The MRP II system allows for the creation of production plans that take available resources into account. It determines: What resources are needed, In what quantity, And at what time. MRP II also allows for identifying efficiency problems, detecting discrepancies between the plan and reality, and analyzing resource utilization. MRP Example: A furniture manufacturer receives an order for 50 tables. The MRP system analyzes the Bill of Materials (BOM) and calculates that 200 legs and 50 tops are needed. The software checks inventory: there are 100 legs in stock. It then automatically generates a purchase order for the missing pieces and schedules the assembly start date so that raw materials arrive on time. MRP 1 and MRP 2 – Common Features Used in manufacturing enterprises. Can be part of an ERP system. Support production process control. Utilize production plans, BOMs, and inventory levels. Used to calculate material requirements. IT systems supporting management. Differences Between MRP and MRP II The most important difference lies in the functional scope: MRP (MRP I): Focuses on materials, plans material requirements, and does not cover full resource management. MRP II: Covers all production resources, integrates various departments (purchasing, finance, quality), enables process simulation, and supports capacity planning while considering market realities and demand. Is MRP the Same as ERP? No, but they are closely related. MRP focuses almost exclusively on production and material logistics. ERP software covers all areas of an enterprise through modular architecture (accounting, logistics, sales, HR, etc.). Today, MRP is simply a key module within broader ERP systems. MRP 2 or APS Systems? APS (Advanced Planning and Scheduling) systems are advanced tools for planning and scheduling. Unlike MRP II, they cover the entire supply chain and allow for more precise planning. APS helps coordinate actions between suppliers and production to avoid the “bullwhip effect.” MRP II – Advantages and Disadvantages Advantages: Optimization of inventory, reduction of storage costs, elimination of downtime, and better order timeliness. Disadvantages: Sensitivity to data quality (inaccurate inventory leads to wrong plans) and the human factor (potential employee resistance). Conclusion: From MRP to APS MRP 2 is an evolution of MRP 1. These systems can be standalone or part of an ERP to ensure that materials are available for every stage of production. Modern firms typically use ERP systems with MRP/MRP II modules, often extended by APS for increased efficiency and control.

Every year, Companial brings together Microsoft Dynamics partners from across Central & Eastern Europe for a day of real conversations, practical sessions, and peer exchange. No vendor theatre – just partners, talking about what’s actually working. The 2026 edition takes place on April 23 in Bucharest, Romania. This year’s agenda covers what matters most to CEE partners right now: Microsoft BizApps priorities, AI adoption in practice, building a CRM practice, and go-to-market strategies that fit the region. Sessions include a CEE-focused Microsoft BizApps update, the Road to AI panel, partner case stories on AI and agents and a GoToMarket roundtable on what’s moving the needle in the CEE Dynamics ecosystem. The event is complimentary for Microsoft Business Applications partners, with limited seats and registration required. Interested in joining this year? Check if spots are still available at companial.com/connect-cee/ Can’t make it this time? Follow the CEE Microsoft Dynamics Partners page on LinkedIn – that’s where we’ll announce the 2027 edition when the time comes.

Choosing an ERP system is a decision that defines how a company operates for years to come. It is not just a tool for finance or warehouse management. It is an operational foundation that impacts production, sales, and organizational growth — both locally and internationally. In this context, SAP Business One and Comarch ERP XL are two popular directions. SAP Business One is associated with global standards and scalability. Meanwhile Comarch ERP XL is deeply rooted in Polish business realities. Furthermore, Comarch offers extensive modularity for production and trading companies, along with a vast network of implementation partners. The starting point for a fair comparison is simple. Both systems possess what should be the heart of any ERP — a modular architecture combining finance, trade, and logistics. However, they differ in their development philosophy and target business scenarios. ERP System Selection Criteria The most common mistake when choosing an ERP is comparing feature lists without understanding where the system will need to carry the complexity of the business. In practice, the choice between SAP Business One and Comarch ERP XL is determined by four key areas: Production Complexity The key question is: are we dealing with simple or advanced production (process-based, multi-stage, with strict quality requirements)? Relevant elements in the manufacturing industry include: Recipes and technologies, Batch traceability, Quality control, Scheduling, Complaint management. In more demanding production environments, a standard ERP often proves insufficient. Therefore, the ability to extend the system with an additional functional layer is crucial.System Development Model Comarch ERP XL is perceived as a flexible system with high potential for personalization and module customization. Beyond core functions, the manufacturer offers integration with dedicated applications for specific company processes. SAP Business One, on the other hand, prioritizes the stability of the standard, though it can be successfully expanded through dedicated integrations and external add-ons. Implementation and Time-to-Value For some companies, the most critical factor is how quickly the system can go live. The Comarch ERP XL ecosystem features approaches aimed at shortening implementation time through predefined models. This methodology is a response to long-term implementations that tend to drag on for months or even years. For organizations in early growth stages or accounting firms, Comarch ERP Optima is the dedicated starting point. A large portion of XL implementations are smooth migrations from Optima, ensuring data continuity. Conversely, an SAP Business One implementation usually places greater emphasis on in-depth process analysis before the production launch. While this requires more time upfront, it provides higher predictability of the final result. Geographic Horizon If a company is considering foreign branches, multiple languages, and local accounting regulations, built-in support for various countries becomes a business necessity rather than a marketing point. SAP Business One – Characteristics Business One is a solution dedicated to the SME sector and mid-sized companies. It is particularly valued by organizations that want to grow in a controlled manner without entering the “heavy” enterprise solution segment. This system does more than organize finances. It provides real support in planning international expansion. The SAP solution stands out for its maturity and scalability. The system is present in numerous countries and supported by a global network of partners. This not only increases investment security but also ensures greater freedom of development in the long term. Consequently, Business One — thanks to its global nature — prevails among international organizations or those collaborating with clients across different regions. In response to new market realities, SAP has expanded the system with solutions based on Machine Learning, Big Data, and AI. Built-in generative features enable “Intelligent Forecasting.” Artificial Intelligence helps predict seasonality and emerging trends within the organization. Furthermore, the system can generate intelligent sales recommendations based on purchase history analysis. The list of such innovations continues to grow. However, it is worth noting that SAP Business One is not the ideal solution for every organization. Large corporations with highly complex processes or extensive asset management may find the standard system limiting. It may also not be the best option for companies expecting a cloud-first model in the sense of the latest specialized ERP platforms. Nonetheless, SAP Business One can be enhanced with certified extensions. In manufacturing companies where the ERP standard is not enough, the ProcessForce add-on radically changes the system’s capabilities. It allows for precise management of recipes, batches, quality control (traceability), and advanced production planning. Comarch ERP XL – Characteristics Software from Comarch enjoys significant popularity on the Polish market — it is already used by approximately 6,000 companies. The ERP XL system is especially appreciated by medium and large enterprises focused on local operations, as it adapts perfectly to national regulations. The foundation of Comarch ERP XL’s advantage is its lightning-fast response to regulatory changes. Importantly, clients have a real influence on product development through participation in the Comarch Community and Programming Boards. From an IT perspective, the system is “open”. Full documentation of SQL structures allows administrators to independently build automations and reports. The update process has been simplified to the level of a quick installation. At the same time, the system is much less frequently implemented for international projects. Consequently, the strength of its international ecosystem is lower than that of SAP. Although Poland remains its key market, the system successfully supports capital groups operating in multiple countries, offering stability and scalability unavailable to smaller solutions. Comarch ERP XL performs particularly well in manufacturing and trade-service companies. In production, users can plan and control material requirements (MRP) while maintaining integration with the warehouse. Additionally, the system is developed according to the ERP 5.0 concept. Comarch is building an intelligent ecosystem that integrates production with omnichannel sales and full operational mobility. The system is currently undergoing a deep technological transformation. Users are already utilizing responsive web interfaces, and a full architectural rebuild—planned for next year—is already available in a demo version. The system architecture is being expanded with specialized AI agents that automate routine tasks and optimize operations. In the field of AI, Comarch is setting standards through: AI Hub – a platform for building dedicated AI agents; ChatERP – an intelligent conversational interface for easier navigation and reporting; Comarch OCR – full automation of document entry into the workflow; AI in APS – advanced algorithms optimizing production planning in real-time. Summary There is no single “best” ERP system. Instead, there is a program tailored to a specific business scenario. Therefore, before choosing, one must ask the key question: where will the company be in 3–5 years, and what is its primary goal? If an organization thinks globally, prioritizes standards, and wants to build a scalable operational model, it should lean toward SAP Business One. Conversely, Comarch ERP XL will be the better choice if the company operates locally, requires high flexibility, and places production as its top priority.

Today, AI is no longer just a trend but a tool from which companies expect measurable benefits. As a result, managers are no longer asking whether an ERP system includes AI features, but rather what type of AI capabilities it offers. In this article, we organize the market and highlight the differences that matter for decision-makers. Just 2–3 years ago, artificial intelligence in business systems was often treated as an “add-on” to sales presentations. Today – especially from the perspective of CFOs and IT managers – it is an area that is rigorously evaluated. This is also reflected in the findings of the “Cyfrowy Menedżer” report prepared by myERP, which clearly shows a shift toward a “prove it” mindset. AI is expected to deliver results only when a company has solid foundations in the form of high-quality data and clearly defined KPIs. How to Compare AI Solutions in ERP? The biggest trap in implementing AI within ERP systems is assuming that an LLM can compensate for disorganized data and processes. From a purchasing perspective, it is better to treat AI as a productivity layer. Artificial intelligence shortens working time, supports decision-making, and automates routine tasks – but it also requires high-quality input data. IT and finance departments should pay attention to three key aspects: Scope of process interventionSome AI solutions act only as informational assistants, providing summaries or insights from reports. Others can perform actual actions within the system – such as setting credit limits or issuing documents. Sources of generated responsesSome solutions rely exclusively on internal company data, reducing the risk of AI “hallucinations.” Others – especially generative AI tools – require users to define the sources the LLM can access. Costs and technical conditionsSome AI features are included in ERP systems at no additional cost. Others offer advanced capabilities available through paid options. AI Assistants in ERP Systems The most visible form of AI for users is conversational assistants. These solutions enable interaction with ERP systems using natural language, inspired by tools like ChatGPT or Gemini. They also help accelerate onboarding for new employees. ChatERP from Comarch ChatERP is a built-in chat assistant that allows users to interact with ERP in natural language. Ultimately, it is intended to cover both on-premise and cloud versions of all Comarch ERP systems. Currently, it is available in BETA. Its functionality includes: Access to company data available in the system Data analysis and reasoning Suggesting system features Executing tasks on user request A key aspect is the ability to perform business operations such as setting credit limits or issuing invoices. In practice, this requires strict permission and audit mechanisms. Without them, the risk of incorrect commands increases. Comarch ensures the protection of personal and sensitive data in ChatERP. Queries and responses may be processed by technology subcontractors, but the AI should not disclose business secrets. Still, companies with high security requirements should formally define data-sharing rules before implementation. Genius by Asseco Business Solutions In terms of declared functionality, Genius is closer to the concept of a digital coworker that monitors tasks, supports decisions, and suggests actions. According to Asseco BS, it notifies users about pending decisions and tasks, answers ERP-related questions, and supports processes such as orders, invoices, and warehouse documents. Additionally, based on user-provided context, the assistant can deliver actionable recommendations. This approach is enhanced by two important elements: Adaptive interface – AI analyzes user behavior and suggests changes to layout, menus, or screen elements, implemented only after user approval. Analytical layer – Genius provides intelligent insights based on real-time ERP data. MAiA in Monitor ERP System Monitor ERP includes its own AI assistant that “structures, compiles, and analyzes data.” Its main goal is to handle time-consuming tasks. MAiA is not just a chatbot – conversational mode is only one interface. It also works through automated summaries and analyses embedded directly in business processes, similar to how Gemini Pro summarizes documents in Google Drive. Importantly, Monitor’s AI relies exclusively on internal business data, ensuring data integrity and control. MAiA also supports text-related tasks – summarizing notes, translating emails, and refining communication tone. MAiA is available in two versions: Basic – included for all customers Pro – available with a monthly per-user fee The Pro version is initially offered as a free trial. Monitor ERP continues to develop AI features and actively collects user feedback via its Ideas Forum. AI Application Ecosystem Instead of a Single Feature An interesting approach comes from Proalpha, which in 2025 introduced its Industrial AI platform. This is a catalog of over 30 AI applications covering core processes – from procurement and production to service. The platform integrates AI solutions from Empolis and Nemo and is built in a SaaS architecture, enabling smooth integration with both Proalpha’s ecosystem and third-party systems. Nemo’s AI capabilities include: Identifying correlations and anomalies in processes Defining recommended actions Evaluating optimization potential in financial terms In this platform-based approach, AI becomes the “engine” of data integration and analytics. For decision-makers, two key implications stand out: Data processing approach – Industrial AI handles both structured (tables) and unstructured data (documents, notes), turning hidden knowledge into actionable insights Automated recommendations – which can be implemented based on diagnosis and trend forecasting The Microsoft Ecosystem and AI in ERP A unique position in the market is held by Microsoft Dynamics 365 – a scalable ERP/CRM platform deeply integrated with other Microsoft services. Implementations are delivered by multiple myERP partners, including companies such as Companial, Integris, MS POS Poland, xalution Group, IT.integro, and Solemis. Copilot Microsoft has embedded Microsoft Copilot in ERP systems in two ways: as a conversational assistant and as embedded functionality within system features. Key capabilities in Dynamics 365 Business Central include: Conversational guidance on system functionality Data analysis using filters and sorting Creation of sales documents (quotes, orders, invoices) Marketing content generation E-document mapping Bank reconciliation Document numbering automation Product substitution suggestions Order processing automation Power BI Many organizations want ERP data to be consumed in a self-service analytics model. In this context, Copilot in Microsoft Power BI provides significant value: Fast creation and modification of reports and visualizations Automatic report summaries Conversational interaction with data However, Copilot in Power BI is a paid feature (Fabric or Premium). Additionally, organizations must ensure high data quality for AI to function effectively. AI in ERP – What Should You Choose? There is no single “best AI” solution for all organizations. The right choice depends on the dominant challenge within the company – whether it is low user productivity, the need for stronger financial control, or real-time production optimization. Key takeaway:AI in ERP should not be treated as a standalone feature, but as a strategic layer that enhances how people work with data, processes, and decisions.

ERP migration is one of the most significant challenges modern enterprises face. Upgrading to a newer system can bring enormous benefits in the form of increased operational efficiency and automation. However, for this process to be successful, a careful strategy is essential. In the era of digitalization and dynamic market changes, changing an ERP system is no longer just an option. For many companies, it is becoming a necessity to meet growing customer demands and maintain competitiveness. In the article below, we will discuss how to avoid common mistakes related to data migration. We will also show the steps you should take to ensure a seamless implementation of new software. Business needs analysis as the foundation of ERP migration Before starting the system migration, a thorough analysis of business needs is crucial. Without it, there is a risk of choosing software that does not meet the company’s expectations. To select the right solution, pay attention to the following steps: Identification of current problems – what aspects of the current ERP system are insufficient? Are the problems related to data integration or a lack of automation? Is the system inflexible in adapting to market changes? Defining business goals – what does the company want to achieve with the new system? It could be about increasing process efficiency or reducing operational costs. Sometimes, the most critical issue is customer service and fast access to information. Gathering feedback from different departments – each department (sales, logistics, HR, accounting) has its specific requirements. Including their perspectives will help create a comprehensive vision for the new ERP environment. Reviewing existing internal processes – identify areas requiring improvement or a complete overhaul. Sometimes, process optimization alone significantly improves performance even before new technology is implemented. Analysis of historical data – verify previous errors, failures, and performance limitations of the old system. This information can prove invaluable when planning the next migration steps. How to choose a new ERP system? The decision to choose a new solution is a turning point for any company. First, prepare a list of functional and technical requirements. This is the moment where management’s expectations meet reality and the needs of regular employees. The next stage is market verification and checking available offers. It is worth involving internal specialists and external consultants in this process. Remember that the cost of implementing an ERP system is not just the purchase of licenses. When budgeting the project, do not forget to include hidden costs such as data migration, employee training, or hardware infrastructure modification. After deciding on a supplier, transparent internal communication becomes key. Employees who will use the new software daily must be informed about the schedule, goals, and benefits of the change. Why team training matters? Effective ERP migration requires a well-trained team. Even the best software will fail if users do not know how to use it. Training should cover all organizational levels – from managers to operational staff. Each group should receive information tailored to its specific work nature and the company’s business needs. The best teaching method is practical workshops that allow for direct experience of the changes. Working on a “living organism” (or a test environment) allows users to get used to the interface. This is also practically the last chance to catch potential problems before the production launch. If bringing the whole team together in person is impossible, alternatively, you can consider e-learning. Such platforms provide flexible knowledge acquisition at a time and pace convenient for each participant. It is important to regularly gather feedback. Therefore, remember to monitor the participants’ progress and collect their opinions on the learning process and any difficulties. This approach allows for better adjustment of educational programs to the actual needs of users. Most common challenges when changing an ERP system Changing ERP software is a complex operational undertaking. The most common problems you need to prepare for include: Data loss or corruption – to avoid this, conduct a rigorous database audit and make secure backups before starting the migration. Schedule delays – these result from overly optimistic planning or unexpected technical blocks. Therefore, it is necessary to create a realistic action plan with appropriate time buffers. Resistance to change – underestimating the importance of internal communication results in team reluctance. Employees must understand the reason for the changes to smoothly go through the implementation period. ERP migration – why is it worth it? Changing an ERP system can be demanding, but at the same time, it is a huge opportunity to scale the business. Successful migration requires planning, team commitment, and readiness for new technologies. It is worth approaching this process with an openness to innovation and close cooperation with an experienced implementation partner. Thanks to this, the company will quickly start reaping measurable benefits from modern resource management. Additionally, the investment will pay off with interest. FAQ – Frequently Asked Questions How much does migration and implementation of a new ERP system cost? The cost of changing and implementing software depends mainly on the scale of the organization, industry, number of users, and the scope of functionality. The budget is also influenced by the implementation model – cloud subscription or purchase of a local license. Typically, the total project cost includes issues related to analysis, configuration, testing, training, and integrations with other systems, such as WMS. When is the best time to change the ERP system? A signal for change is a situation where the old system stops keeping up with the company’s development and prevents further scaling. Moreover, if the ERP is becoming increasingly expensive or does not integrate with modern tools, it is worth considering migration. Is data migration to a new ERP safe? Yes, provided the process is conducted by experienced specialists. Security is ensured by, among other things, data mapping, cleaning unnecessary records, and multiple system backups before the final import. How to effectively connect a new ERP system with an e-commerce platform? The key step is choosing software with an open API or dedicated connectors to the most popular e-commerce platforms (e.g., Baselinker, Magento, PrestaShop). This will ensure automatic and two-way synchronization of stock levels and orders. What to do in case of unexpected technical problems? Every implementation partner should support the company in preparing a contingency plan. It is also important to provide post-implementation support and maintain constant contact with the supplier’s helpdesk.

Enterprise Resource Planning – this is exactly what the ERP acronym stands for. Being an employee of a company, regardless of its size, it is hard not to come across this concept today. In many organizations, the ERP system is the foundation of business operations. Importantly, solutions of this type are no longer the exclusive domain of large corporations. Small and medium-sized enterprises (SMEs) are increasingly using them as well. In this article, we explain what ERP is, its application, and what modules it usually consists of. ERP Software – what is it? The acronym ERP stands for Enterprise Resource Planning. In reality, it is integrated business software that allows a company to manage daily operational processes such as accounting, human resources and payroll, customer service, order and supply chain management, warehousing, or analysis and reporting. Overall, the system serves as a central source of information, accessible to both managers and employees of individual departments. This enables decision-making based on current and consistent data. The history of ERP systems begins with a modest solution written on sheets of paper. In the 1960s, these processes began to be automated using the first computer applications, which involved high costs. Shortly after, Material Requirements Planning (MRP systems) was developed, which could be integrated into a single system. A real breakthrough came with the popularization of the Internet and modern technologies. Contemporary ERP systems increasingly use solutions based on Artificial Intelligence (AI) and machine learning. They help accelerate data analysis and maintain the company’s competitiveness in an innovative market. What does the system consist of? An ERP system is characterized by a modular structure, which means its functionality can be tailored to the needs of a specific organization. The software most commonly includes the following areas: Finance and Accounting – maintaining books and controlling the company’s finances (invoices, VAT records, budgeting, fixed assets). It forms the basis for profitability analyses and regulatory compliance. HR and Payroll – processes related to employees and remunerations (contracts, contributions, leaves, sick leaves, schedules, business trips). This makes accounting for working time easier and automates repetitive tasks. Commerce / Trade – supporting sales and purchases in the company (offers, orders, price lists, and other commercial documents). It helps maintain order in the flow of goods and documents from order to invoice. This module often includes integration with the warehouse and operation of e-commerce platforms and EDI systems. Production – used for planning and settling production (BOM, routings, schedules, quality control). Thanks to this, managing punctuality, materials, and efficiency is more streamlined. Customer Service (CRM) – organizes customer relations and the work of sales and service teams. It includes, among others, a contact database, communication history, sales pipeline, and service requests. Analytics and Reporting (BI) – presenting data analysis in the form of reports, KPIs, and dashboards. It facilitates the monitoring of costs, inventory levels, or financial results. An additional distinguishing feature is the ability to define permission levels, which increases data security and user work comfort. What is an ERP program used for? An ERP can be compared to a nervous system. It connects different departments of a company and provides them with access to the same information. A key feature of the system is its integrity, which allows modules to be combined into a single database. Information only needs to be entered once to be available to all authorized users. For example: during delivery reception, a warehouse worker registers the event in the system. The ERP automatically updates the inventory status, and the accounting department receives a document for settlement – without the need to send emails or manually rewrite data. Full control over the system’s functionality allows for speeding up daily work and improving communication. An additional benefit of ERP is its scalability, enabling the system to be expanded with further modules as the company grows. What are the types of ERP systems? ERP software can be implemented under three different models: cloud, on-premise (local), or hybrid. Cloud ERP – the system is available via the Internet in a subscription model (SaaS). This allows you to log in from any place and type of device. The provider is responsible for ongoing updates, security, and infrastructure maintenance. Currently, the cloud remains the most popular solution due to its convenience and scalability. On-premise ERP – a traditional model of software installed locally on the company’s servers. It guarantees full control over the IT environment. At the same time, however, it requires your own resources for maintenance and updates. Nevertheless, such a system is appreciated by a large number of Polish enterprises. Hybrid ERP – a type of two-tier system that combines elements of an on-premise and cloud system. Such a solution works well in organizations that want to maintain flexibility while using some applications installed locally. ERP implementation – when and how to prepare? When to invest in the system? A significant proportion of enterprises – especially SMEs – are used to working with spreadsheets (e.g., Excel). As the business grows, however, there comes a point when manually rewriting data begins to hinder further work optimization. An ERP implementation is worth considering especially when: the number of orders and documents is growing, the number of employees is increasing, the company needs better cost control, processes are scattered across different tools. However, it is worth remembering that choosing a system is not an easy decision. It is impossible to choose the right tool without knowing your own goal, scope, and limitations. What does the implementation process look like? ERP implementation is a project based on the cooperation of an implementation partner with the client, the goal of which is the ongoing use of the software by the company’s employees. Every implementation begins with a comprehensive audit. Business processes and the management’s expectations towards the ERP system are analyzed. On this basis, a meticulous scope and schedule of work are created. After acceptance by the client, the system implementation takes place along with the initial data import. This is followed by the testing phase and preparing users to use the system. At that time, the implementation partner should support conducting training. At the go-live moment, the client should still count on post-implementation support from consultants. A significant part of partners offers remote assistance. Contact is possible by phone, email, or via video communicators (e.g., Microsoft Teams, Google Meet). How much does ERP software cost? The cost of implementing an ERP system depends on many factors: the size of the company, the industry, the number of users, and the scope of functionality. The budget is also influenced by the implementation model – cloud subscription or purchasing a local license. Most often, the total cost of the project includes: licenses or subscriptions, implementation (analysis, configuration, data migration, tests, launch), integrations (e.g., e-commerce, WMS, national e-invoicing systems), training and change management, maintenance and development. The most expensive part of the project rarely stems from the license itself. The budget usually grows due to an overly broad starting scope, poor data quality, and a lack of clear rules of responsibility on the company’s side. How long does the implementation take? The length of an ERP system implementation depends primarily on the scale of the organization and the number of processes covered by the project. It is worth noting, however, that the project itself is also influenced by the client, their commitment, and availability during its duration. According to data published in the “Digital Manager 2026” report, the average project implementation time takes about 9 months. However, it should be kept in mind that a significant portion of respondents represented small and medium-sized enterprises. In larger enterprises, projects can take much longer. FAQ – Frequently Asked Questions and Answers Is an ERP program difficult to use? It doesn’t have to be. An ERP can be complex due to its modular structure, but a well-chosen system should guarantee clear and convenient access for the user. Usually, the biggest difficulty does not lie in the functions, but in the lack of structured data and unclear working rules. Who is an ERP consultant? An ERP consultant is a specialist who serves as a form of direct contact between the company and a potential implementation partner. They help properly select the type of system, translate business needs into system configuration, conduct process analyses, prepare data migration, tests, and training. Which industries reach for ERP software most often? Companies whose daily duties involve customer service, warehousing, and the need for cost control benefit the most from an ERP system’s capabilities. Therefore, the software is most often implemented in manufacturing, commercial, logistics, construction, or food organizations. What size company needs an ERP system? An ERP makes sense in both SMEs and large enterprises. Most often, the decision to implement appears when the number of transactions, employees, and integrations grows, and processes begin to “diverge” between spreadsheets and different tools. Where can I find ERP providers? On the myERP.pl portal in the directory dedicated to providers. There you can compare implementation companies and also – if you had the opportunity to work with them – rate them. Can an ERP be integrated with an e-commerce platform? Yes. ERP and e-commerce integrations are very common and usually include inventory levels, prices, orders, invoices, shipping statuses, and sometimes returns and complaints. The key is to determine which system is the “source of truth” for the data. What is the difference between ERP and CRM? ERP manages the operational processes of the company (finance, warehouse, production, purchases, sales, HR). CRM focuses strictly on customer relations and sales (contacts, leads, handling requests, communication history). CRM can work independently, but is often connected to an ERP system. Is ERP the same as SAP? No. SAP is one of the providers of ERP systems. ERP is a software category, and SAP is one of the brands, alongside many other solutions available on the market.

Think about the amount of data flowing through your organization every single day.In the era of Big Data, that volume likely exceeds anything you could realistically count. While managing such a scale may seem overwhelming, the most competitive companies have already found ways to take control of it. If you want to stay ahead of the market and maintain your competitive edge, you need to learn how to extract meaningful insights from your business data – insights that enable better, faster and more accurate decisions. So what exactly is data‑driven decision making? Let’s take a closer look. What is data-driven decision making? To remain operationally agile, business leaders must be able to anticipate issues and respond in real time. They also need to empower their teams to make informed, strategic decisions every day. At first glance, this may seem impossible. But if you look closer, you’ll realize that most of the required resources are already in your organization. The key ingredient of intelligent, data‑driven decision making is something you already possess: data. Benefits of data-driven decision making You may have access to critical information, but that doesn’t automatically mean you’re using it to forecast future outcomes or build a more profitable and efficient supply chain. If this sounds familiar, it’s time to shift to a new decision‑making paradigm.Here are the three most important reasons to base business decisions on data. 1. Eliminating Organizational Silos When a business process fails, the workflow itself isn’t always the problem.Often, the real issue lies in how people collaborate – or fail to collaborate. Silos emerge when one group has access to certain data while another does not.When that happens, cooperation weakens and decision making slows down. Centralizing data in a modern ERP or SCM system ensures that everyone works on the same platform, which significantly improves collaboration. This not only streamlines internal decision making but also enables a consistent, personalized customer experience. Of course, if a process still doesn’t work after data is cleaned up, it’s worth conducting a business process analysis to understand what needs improvement. 2. One Source of Truth As information moves across the organization, you need a reliable way to control and track it. Once your data is centralized, everyone knows where to find key information and how to share it. This ensures that teams make decisions based on consistent, verified data. Most importantly, each data point has one single source of truth.You no longer need to worry about different teams working on different versions of the same file. 3. Driving Continuous Improvement When decisions are based on data, employee engagement often increases.Teams gain visibility into what other departments are doing and how they can support each other more effectively. How to build a foundation for smart business decisions We’ve covered why data‑driven decision making matters and what benefits it brings.Now let’s focus on the practical side – how to use your data to truly improve business outcomes. There are many analytical tools on the market, including AI‑powered solutions and data visualization platforms. However, many organizations already have these tools – they simply aren’t using the full potential of their data. From our experience, before diving into analytics or starting an ERP selection process, it’s worth conducting structured strategic planning. This typically includes: assessing organizational readiness, engagement levels and alignment of goals defining an information strategy analyzing the current technology landscape assessing the current state of data mapping existing data to business goals and restructuring it around KPIs defining the future operating model evaluating the technology infrastructure for potential re‑implementation, optimization or system replacement What to do with all this data? 1. Monitor KPIs Are your processes performing as expected?How satisfied are your employees? With clearly defined KPIs, business leaders can make fact‑based decisions.Regular analysis helps you understand where you are and how far you are from your targets. Early detection of deviations enables proactive action. 2. Visualize Your Data It’s difficult to make data‑driven decisions if you can’t understand what the data is trying to tell you. Raw tables or long text reports don’t help. Modern ERP systems offer configurable dashboards that make it easier to interpret key information. 3. Influence Decision Makers If you want to convince key stakeholders to support a project, data is your strongest argument.Executives expect concrete numbers that justify the initiative – and the best way to build credibility is to present facts. Unlock the potential of data-driven decision making You don’t have to make critical business decisions in the dark.It’s time to leverage the data you already have. If you’re unsure what data to collect, how to collect it, how to store it or how to turn it into business value, the specialists at xalution Group are ready to help. Data‑driven decision making is the difference between a well‑planned business move and a shot in the dark.It’s the confidence that your strategy is built on facts – not intuition.

Six months ago, answering a customer’s order inquiry could take Angelina Persson ten minutes or more, switching between Excel files, internal systems, and production schedules to piece together a complete answer. Today, as Chief Operating Officer at Mitac, she has the same information at her fingertips in seconds. The difference? RamBase Cloud ERP “Everything we need is now in one place,” says Persson. “Real-time data, complete traceability, instant answers. It’s transformed how we operate.” For the 40-person operation, the six months since going live have been about discovering what’s possible when information flows freely and everyone works from the same source of truth. This is their honest, unfiltered account of what actually happens in the first six months after flipping the switch. The reality check: What actually changed? From guesswork to certainty Before RamBase, Mitac had no unified business system. Finding information meant hunting through spreadsheets, emails, and local files. The impact touched every department: Production: “The difference for me is enormous,” says Sanna Virtanen, Production Manager. “Before, I was working with estimates and assumptions. Now I can follow the entire production flow from delivery to delivery and see reality as it actually looks.” This shift from estimation to reality changes everything. Sanna can now enter all necessary information, control exactly who sees what, and track dependencies across the entire production process. “It’s fantastic,” she says. “Instead of constantly searching for information in multiple places, you now find it readily available.” The transparency has even changed how Mitac works with customers. “It forces all of us to become more structured,” Sanna adds. “And it forces customers to become more structured too.” Sales & Purchasing: “I have control over things in a way I never did before,” says Adam Bergqvist. “I can follow the flow and clearly see if something needs to be back-ordered from a supplier. Before, it was ‘yeah, I think we have it’, more guesswork. Now I can see it directly in RamBase instead of logging into several systems or emailing suppliers to ask. We don’t need to think we know anymore. Now we know.” This certainty eliminates an entire category of problems: promising delivery dates based on assumptions, scrambling when inventory didn’t match expectations, and the downstream effects on customer trust and production schedules. Time tracking gets real One of the most tangible improvements came in time registration. Before, operators filled out paper forms without really knowing how long they’d actually spent on each part. Today, it’s measurable with RamBase. “It makes it much easier to follow up and set requirements on how long tasks should take,” says Angelina. “No more guessing, just data.” This shift enables accurate job costing, reveals previously invisible bottlenecks, and provides the foundation for continuous improvement. When you know how long things actually take, you can make informed decisions about pricing, capacity, and process optimization. Complete traceability transforms quality The system provides end-to-end visibility: when something was purchased, when it arrived, what it’s used in, and where it is in production. “We can trace everything now,” explains Angelina. “If there’s a quality issue, we can find the source quickly. And we can see patterns that might indicate problems before they become major incidents. That kind of visibility was impossible before.” The cross-departmental transparency means fewer surprises. Production can now clearly see when all components have arrived and when they haven’t, eliminating miscommunications that used to be routine. “Those ‘I didn’t know that component wasn’t coming’ situations are increasingly rare,” says Sanna. The implementation philosophy: Confidence before speed One of the most striking aspects of Mitac’s journey is their deliberate pacing. “The implementation has been a transparent process,” says Angelina. “We’ve trained departments little by little, giving everyone time to participate, learn, and become comfortable. We moved forward slowly and deliberately—it’s been a safe and good way for everyone in the organization to adopt the new system.” This phased approach created several advantages: Reduced resistance when people aren’t overwhelmed Early wins that built momentum and confidence Organizational learning that allowed discovery of optimal workflows Sustainable change embedded in daily operations For companies considering similar transitions, Mitac’s approach offers a valuable counterpoint to rushed implementations. Speed matters less than sustainability. What’s next: Growing into the system Six months in, Mitac is candid about being early in the journey. They’re working on extracting comprehensive KPIs around specific efficiency gains and error reduction metrics. Those numbers will come. But the qualitative improvements are already clear: Decisions happen faster because data is immediately accessible Miscommunications have decreased through shared visibility Inventory accuracy has improved from guesswork to certainty Customer service has strengthened through faster, more accurate responses Perhaps most importantly, Mitac invested in RamBase early in their growth trajectory, before inefficiency became crisis. “We didn’t wait until things were broken,” reflects Angelina. “This positions us to scale with confidence as demand increases, rather than playing catch-up with infrastructure.”

There is a moment in almost every ERP project when someone says, “We just need a system that can do everything.” It sounds reasonable. It is also how companies end up with an expensive platform that fits no one particularly well. ERP selection in the USA in 2026 is not about finding the most famous brand or the longest feature list. It is about making a decision that will shape how your business behaves every day. Your month end close. Your order to cash cycle. Your inventory accuracy. Your ability to answer a simple executive question without three spreadsheets and a prayer. And if you are honest, that is what an ERP is really about: turning daily operations into repeatable outcomes. The problem with the way most teams buy ERP Most ERP buying processes start in the wrong place. They start with software. Demos. Modules. Licenses. A timeline that looks clean because it has to look clean. Then reality shows up: messy master data, unclear process ownership, integration assumptions, and the biggest surprise of all, the realization that people do not change just because a new system arrived. If your ERP project fails, it rarely fails because the system did not have a specific function. It fails because the business was not ready to run in a new way. Or because the vendor relationship quietly shifted from partnership to dependency. This is why “ERP selection” is a misleading phrase. You are not selecting software. You are selecting the operating logic that will run your company. 2026 changed the conversation in the US The US market is more disciplined now. CFOs demand predictable cost. Operations leaders demand measurable impact. IT leaders demand clarity on security and integration. And everyone, whether they say it out loud or not, wants the same thing: freedom to adapt later. That last point matters more than most teams admit. Because ERP is a long decision. It sits under your most important processes. Once you build around it, switching is painful. So the real question becomes less romantic: do you have a plan for change, or are you betting your business on permanence? In 2026, the smartest teams are not just asking “Will this ERP work?” They are asking “What happens if we need to leave?” The ERP questions that actually predict success Here is what an expert buyer does differently. They ask questions that expose the project reality, not the sales narrative. First, they ask how the vendor defines a successful first 90 days. Not in slogans, but in concrete deliverables. If a vendor cannot describe early value, you are probably buying a long, expensive promise. Second, they force clarity on scope. Every ERP implementation is a tradeoff between speed and perfection. A mature vendor will draw a line around phase one and defend it. An immature vendor will say yes to everything and charge you later in change requests. Third, they talk about data early. ERP is a mirror. It reflects the quality of your item master, customer master, vendor master, chart of accounts, and process rules. If your data is inconsistent, the system will not fix it. It will scale the inconsistency. Fourth, they ask who owns process decisions. This is a silent killer. If the business thinks IT owns the project, and IT thinks the business owns the process, nothing gets decided. And when nothing gets decided, the default outcome is always the same: you rebuild the old process inside the new tool and call it transformation. Finally, they ask about integration assumptions and total cost, not just license cost. In the US mid market, the ERP rarely lives alone. There is payroll, banking, tax, e commerce, EDI, WMS, BI, CRM, shipping, and sometimes a patchwork of legacy tools that never fully went away. Every integration is a maintenance relationship. You should buy that relationship with open eyes. The contract is where the future gets locked in If you want to know where ERP risk hides, look at the contract. Not just the price. Bad contracts do two things. They keep scope vague, and they keep responsibilities blurry. That combination is the perfect recipe for budget creep. When scope is unclear, everything becomes a negotiation. When responsibilities are unclear, every problem becomes “not included.” There is another category of risk that matters more in 2026 than it did in the past: exit readiness. Many teams assume that if they own their data, leaving will be easy. That assumption is dangerous. In practice, the pain is not “getting a file.” The pain is getting the data in a form that preserves relationships, history, and logic so another system can actually use it. If a vendor cannot explain, in plain terms, how you export your data, how long it takes, and what it costs, you do not have an exit plan. You have wishful thinking. Buy an ERP like you buy risk management The most professional way to evaluate ERP vendors is to stop treating the decision as a beauty contest and start treating it as risk management. Look at fit to your core processes first. Not every process, only the ones that determine your margins and your customer experience. Then judge the implementation approach. Does the vendor bring a credible path from today to go live, or do they hide behind “best practices” without making hard decisions? Then assess the boring but decisive elements: data readiness, integration clarity, support model, upgrade path, and the vendor’s willingness to talk about failure modes. Strong vendors can explain why projects fail and what they do to prevent that. Weak vendors pretend failure is someone else’s problem. A closing note for leaders The most expensive ERP mistake is not choosing the wrong software. It is choosing without clarity on outcomes, ownership, and exit. If you want one executive test before you sign: ask the vendor to describe, in plain language, what your company will be able to do better in 90 days, and what happens if you decide to leave in three years. If they cannot answer both without dodging, keep looking. Because in 2026, the best ERP is not the one that can do everything. It is the one that helps your business do the right things consistently, and keeps you free to change when the business demands it.