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From Go Live to a Mature ERP: How to Build Lasting Value in the First 90 Days, the First Year, and Through Continuous Improvement
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.
SzymonJankowski
MRP vs. MRP 2 System – What Is It and What Are the Differences?
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.
MarekMac
Companial Connect CEE: a Microsoft Dynamics Partner Event Worth Knowing About
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.
RadosławDudziak
SAP Business One vs. Comarch ERP XL: Which System To Choose?
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.
KajaGrabowiecka
Business Intelligence (BI) System. Who Is It For And Which Tool to Choose?
Business Intelligence (BI) is a modern solution that enables comprehensive data analytics. This system can significantly improve decision-making processes and help gain a competitive advantage in the market. In the following article, we explain when it is worth deciding to implement this tool. Business Intelligence – For Whom? A BI system (short for Business Intelligence) is an environment and set of tools used for advanced business analysis. It is a very broad field that focuses on finding savings, optimizing production, creating “what-if” analyses, or generating complete financial balance sheets. The decision-making process in many enterprises requires a parallel combination of advanced digital solutions with vast amounts of data. Many companies still use multiple systems or sources that are not integrated with each other. In the long run, this leads to significant delays and complications in key processes, over which control may eventually be lost. Business Intelligence tools are the answer to these problems, enabling effective management of a company’s most important operational areas. BI solutions allow for efficient data integration, which in the short term enables: Quick aggregation and retrieval of data. Finding relationships and correlations between individual events. Understanding these events and reaching accurate business conclusions. Current BI systems are so advanced that they can independently recognize data and then generate tables or entire spreadsheets. Naturally, all datasets can also be cleaned or processed in many ways. BI tools enable data analysis and organization using various functions, such as drag-and-drop, which significantly simplifies operation for users within a company. As it turns out, when implementing a BI system, employees do not need to have specialized programming knowledge. Examples of using these tools in daily work include: Analyzing the correlation between salary increases and staff inefficiency. Studying the relationship between demand and the price of a given product or service. Analyzing economic cycles. The ultimate goal of business analysis tools is to find dependencies between phenomena and make significant business decisions based on them. Most Popular BI Tools Knowing how analytical technology works, the next question is about specific solutions. When choosing the right BI system, it is worth paying attention to integration capabilities and market leaders. The most popular tools include: Power BI – One of the most popular systems on the market. It integrates perfectly with the Microsoft ecosystem (including Excel and Azure) and allows for the creation of highly interactive dashboards. Tableau – A powerful tool famous for its extremely advanced and aesthetic data visualizations. It is ideal for huge datasets and deep analytical explorations. Qlik – A modern BI system distinguished by its associative engine. It allows users to freely explore data in all directions instead of following predefined query paths. BI Modules in ERP systems – Many ERP systems have built-in tools that analyze company data in real-time without the need for external integrations. Does Implementing a Business Intelligence System Have to Be Expensive? Many people still believe so – however, this is not true. Currently, the market provides entrepreneurs with BI software versions that are completely free or available in flexible subscription models (SaaS). Even free demo versions, despite limited capabilities, allow for downloading sheets and basic data linking or visualization. This allows entrepreneurs and potential users to familiarize themselves with the logic of the business data analysis system before making a final investment decision. Who Is a BI System Intended For? The market for BI system users is very diverse. When focusing on an advanced implementation (which includes a pre-implementation analysis), you must ensure that your company needs such a solution. It is about economic justification—specifically, having enough data that can be turned into profit. It is difficult to set a strict limit at which a BI system becomes indispensable. However, a good evaluation method is to look at the number of employees and the company’s turnover. For smaller companies, the key criterion is the nature of the business. For example, should a company with 15 employees doing simple sales invest in a powerful analytical system? Probably not. However, there are cases where a team of only 30 people processed such vast datasets that implementing BI became a condition for their further growth. Excel and Databases Are Not Enough For Advanced Analysis Excel is well-known to employees in most companies and is very easy to implement. However, when faced with Big Data, its significant flaws appear: Static analyses instead of real-time updated models. Complicated and error-prone merging of datasets. The monotony of manual report refreshing. Limitations on the number of records that can be processed. Direct databases solve the capacity problem but create a barrier in usability – the need to know SQL. Presenting data from two tables is simple, but when there are hundreds of tables, constantly writing SQL queries becomes inefficient. This is where Business Intelligence systems come in. Data Analysis vs. ERP Systems If an enterprise already has ERP software, it is halfway there. These tools generate reports that allow for constant monitoring of company efficiency and decision-making. However, they are not built for predictive analytics but for handling current operations. ERP tools use OLTP (Online Transaction Processing) databases, designed for immediate, secure data entry. In contrast, BI systems are often based on OLAP (Online Analytical Processing) databases, which are most effective for analysis. It is worth remembering that ERP solutions are usually not the only ones collecting company information. Therefore, a tool (e.g., an integrated BI system) is needed to combine data from ERP, CRM, and other sources, visualizing it in one place. When To Implement a Business Intelligence System? If financial resources allow and analytical needs are growing – as soon as possible. By deciding on a BI system at an early stage of digitalization, you enforce order and a consistent data architecture. Later implementations, in an environment burdened by “technical debt” and information chaos, tend to be much more expensive. Equipping yourself with a data warehouse and appropriate BI tools will facilitate every subsequent step in the company’s technological development. Implementation Methods Every professional system should be implemented with the help of a team of specialists. There are two common methods used during implementation: Potential Analysis – The software provider, together with the client, looks for areas requiring improvement. Information problems and challenges at the intersection of different systems are identified. The competence of BI consultants is key here. Proof of Concept (PoC) – A test implementation on a limited sample of data. It checks whether a given BI system will meet the company’s requirements in practice. The PoC results in a final purchase decision. How to Avoid Failure During Implementation? Implementing BI tools is a significant challenge. The project involves both logistical and purely organizational obstacles. To avoid problems, pay attention to these key risks: Too much data – Integrating everything “as is” unnecessarily prolongs the process. You should focus on KPIs that have real business significance. Dirty data – Gaps and errors often lower the credibility of results. To avoid this, data should be cleaned before implementation. Resistance to change – Even the best system is useless if the staff avoids it. The keys are training and showing employees how the new system will facilitate their daily work. How to Maximize the Effects of Using BI? First and foremost, customize the dashboards. Different experts play different roles and need different data. A CEO wants to see margins from a “bird’s eye view,” while a production shift manager needs real-time machine failure rates. Views must be personalized. Use only the necessary tools. Depending on the technology and provider, some systems offer advanced reporting features and numerous data access points. However, there is a risk that these “gadgets” will eventually cause information noise. It is better to use only the tools you truly need – simplicity and utility win. Summary Implementing Business Intelligence is not just about mechanically replacing Excel sheets with pretty charts. A modern BI system allows you to look at your company from a completely new, often surprising perspective. A fresh perspective helps in continuous optimization and quick reactions to dynamic market changes. Before you decide to buy a specific solution, ask yourself: How will these analyses directly improve my company’s financial results?
MarekMac
Artificial Intelligence in ERP Systems. Which AI Solution Should Businesses Choose?
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.
KajaGrabowiecka
What is eCommerce?
To manage daily operations across multiple platforms and applications, an integrated system is essential to connect ERP, POS, eCommerce, sales channels, and other systems into a centralized database. This article will help you understand what integrated eCommerce is and why it is necessary for your business to grow like never before. What is eCommerce? An integrated eCommerce solution allows for the seamless use of all data from your ERP system and other systems to power your online store. Essentially, it directly connects the ERP system with your e-shop without third-party intervention. An integrated eCommerce solution is partially installed within the ERP system, making its operation seamless compared to other complex integrated solutions. Why is integrated eCommerce important for your business? An integrated eCommerce platform increases management efficiency and organizational productivity. It helps save time, manage manual labor, and automates back-office work. Integrated eCommerce enables error-free data updates using fast and consistent applications. Inventory Management and Rapid Updates The online retail space is dynamic and highly competitive. Millions of products are sold daily. If your prices are not adjusted based on competitor research or if products do not meet consumer trends, it becomes a major problem. Integrated solutions provide real-time information, preventing pricing or product disasters. For example, when a customer places an order on the front-end, the system automatically updates accounts and inventory on the back-end. On-Time Delivery Many companies struggle with delivery delays, leading to a loss of credibility. Integrated eCommerce software ensures that the order flow is smooth and error-free. The system is reliable and suggests possible delivery dates by analyzing data from the production floor and warehouse, ensuring that orders are not missed and deliveries are made on time. Better Customer Service A satisfied customer is an asset. Integrated eCommerce helps keep customers happy by providing real-time information on prices, stock, order tracking, and more. Furthermore, it enables integrated marketing through email, social media, and automation, helping you meet customer needs and build loyalty. Finance and Accounting Management Integrated eCommerce saves time and reduces errors by automating data transfers from the front-end store to the back-end financial system. This helps the finance team access sales revenue info, maintain accurate financial reporting, manage payroll, and handle transactions in real-time. Better Efficiency and Decision Making Retailers usually maintain separate databases for finance, products, and consumers. An integrated platform allows for the optimal use of these data resources. For instance, an automated sales process reduces time spent on administrative tasks, allowing the sales team to focus on building relationships with potential customers. Types of eCommerce eCommerce can be divided into four basic online sales models. They differ based on who is selling and who is the recipient of the offer. The most popular types of electronic commerce include: B2C (Business-to-Customer) – enables the sale of a product range or services to individual customers, which simultaneously allows for reaching a wide audience. B2B (Business-to-Business) – sales between two business entities, primarily characteristic of wholesale orders. C2C (Customer-to-Customer) – sales between two private individuals. This model is mainly characteristic of classifieds portals, auction sites, or marketplaces that allow for the listing of used items. C2B (Customer-to-Business) – a rarer, yet still encountered e-commerce model. It turns a private individual into the seller of a specific product or service, which is then provided to a particular enterprise. B2B vs. B2C eCommerce – Key Differences Electronic commerce is developing particularly within B2B and B2C. Although both models are based on online sales, they differ in terms of the purchasing process, customer expectations, and the way of building commercial relationships. Understanding these differences is key when matching the eCommerce development strategy. Purchasing process and length of decision In the B2C model, purchasing decisions are usually made quickly and often have an impulsive character. An individual customer is guided by price, product availability, reviews from other users, and convenience of purchase. Thus, they will be more inclined to take advantage of a quick promotion or a discount code. Meanwhile, the sales process within B2B is significantly longer and more complex. It involves commercial negotiations in which at least several decision-makers in the company participate. Order value and frequency B2C purchases usually have a lower unit value but may occur more frequently. Individual customers buy products for their own needs and in smaller quantities. In the B2B model, orders are usually larger – often wholesale and carried out cyclically. Companies treat eCommerce as a tool for supply optimization and automation of purchasing processes. Relationships and personalization of the offer B2C sales are based mainly on mass marketing. It takes various forms – from outdoor advertising to influencer and social media marketing. A key role is played by the store’s intuitiveness, speed of delivery, and customer service. In contrast, in B2B, long-term business relationships, individual price lists, and contract discounts are of significant importance. System integrations, e.g., with ERP, WMS, or EDI platforms, are also key. Functionalities of sales platforms B2C stores focus on the simplicity of the purchasing process, attractive product presentation, and optimization for mobile devices. Applications are also becoming increasingly popular, sometimes replacing browser-based shopping. B2B platforms require more advanced features, such as multi-level user accounts, credit limits, product configurators, automatic order repeats, or access to transaction history and commercial documents. In practice, more and more companies are developing a hybrid model, combining B2B and B2C sales in one eCommerce ecosystem to increase sales reach and better respond to the needs of different groups of customers. FAQ – Frequently Asked Questions How much does eCommerce implementation cost? Costs vary from a few thousand PLN for simple stores to hundreds of thousands for complex B2B projects. How long does it take to launch an online store? A simple store can be launched in a few weeks, though the average is about 3.5 months. Complex platforms with ERP/WMS integration take longer. Can eCommerce be integrated with ERP? Yes, this is very common and covers inventory, orders, invoices, and returns. Does eCommerce support omnichannel sales? Yes, the eCommerce platform often serves as the central hub for multi-channel sales, integrating online stores with physical locations and marketplaces.
MarekMac
What is WMS?
How to effectively manage a warehouse in a dynamically growing company? The answer to this challenge is a WMS system (Warehouse Management System). This software supports the management and optimization of warehouse processes. It is an absolute must-have for every modern organization that cares about minimizing errors in its logistics. In this article, we explain what the WMS acronym stands for and what benefits it can bring to an enterprise. WMS Software – What Is It? The acronym WMS stands for Warehouse Management System. It is an IT system used to manage warehouse operations. It enables comprehensive control over the flow of goods, order fulfillment, and inventory levels throughout the entire supply chain. Thanks to WMS, a company gains real-time insight into product availability and can plan receipts and shipments more efficiently, significantly reducing the risk of picking errors. A WMS system usually integrates with other IT solutions, such as ERP (Enterprise Resource Planning), CRM, or e-commerce platforms. As a result, it acts as the central element of warehouse operations, often referred to as the “warehouse brain.” How Does a WMS System Work? A WMS comprehensively supports all warehouse processes – from goods receipt and storage to order shipping. Every operation is automatically recorded in the system, which simultaneously updates inventory levels. This allows for real-time stock tracking. The system also assists in the packing and picking process. It can suggest optimal picking paths and generate shipping labels. Moreover, the software enables the management of returns and complaints, allowing for efficient re-allocation of products within the warehouse. An essential element of WMS is analytics. The system allows for the creation of reports regarding warehouse productivity, inventory turnover, and team efficiency. Such data serves as the basis for making informed logistical decisions and planning further development. What Are The Types of WMS Software? A WMS system can be implemented in various models, depending on the organization’s needs: Cloud-based WMS (SaaS): A solution available via a subscription model, accessed over the Internet. It allows for a quick start and easy scaling of users without needing an extensive internal IT department. On-premise WMS: A system installed locally on the company’s servers. It provides greater control over infrastructure and data but requires more involvement in maintenance and IT development. WMS as an ERP module: Warehouse functionalities are part of a larger ERP environment. This model is ideal for companies that want to manage the warehouse, sales, purchases, and finances in one integrated system. WMS Implementation – When Is It Worth It? The decision to implement a WMS system usually arises when the scale of warehouse operations exceeds the capacity of manual management. Common signs include problems with timely order fulfillment, inventory discrepancies, and difficulties in analyzing logistical data. Implementing a WMS organizes processes, increases transparency, and prepares the organization for growth. How Long Does The Implementation Take? The duration depends on the number of processes and the degree of integration with external programs. According to the “Digital Manager 2026” report, the average implementation time is about 9 months, though larger enterprises with complex processes may require more time. How Much Does a WMS Cost? The price depends on several factors: The scale of operations and number of warehouse locations. The number of system users. The implementation model (cloud vs. on-premise). The scope of functionalities and required integrations. The budget typically includes license or subscription fees, implementation services, and integration work. FAQ – Frequently Asked Questions Who is a WMS specialist? A person responsible for the configuration, development, and maintenance of the system, helping to optimize the flow of goods and inventory. Is a WMS needed in a small company? Yes, if the company handles a large volume of orders or has an extensive inventory, a WMS can help automate picking and organize stock. What is the difference between WMS and ERP? WMS focuses strictly on warehouse operations, while ERP covers all business processes (finance, HR, sales). They often work together or WMS acts as a module within ERP. Is WMS the same as SAP? No. WMS is a category of software, whereas SAP is a specific provider that offers, among other things, WMS solutions.
KajaGrabowiecka
