ERP system for SMEs: Increased efficiency through intelligent business software

Why an ERP system is indispensable for SMEs

Small and medium-sized enterprises (SMEs) are increasingly facing the challenge of digitizing their business processes and making them more efficient. A modern ERP system for SMEs helps with this, Optimize business processesprocess data intelligently and secure competitive advantages. Compared to traditional on-premise solutions, cloud software offers simple commissioning, scalability and cost-effective maintenance models, which are particularly beneficial for companies without their own IT infrastructure. In this article, we look at the most important ERP providers, functions and benefits of an ERP system and show how Nexivis.ai can be used by Data integration and AI-supported analyses can derive the greatest possible benefit from it.

1 What is an ERP system and what functions does it offer?

An ERP system is particularly important for medium-sized companies, as they often work with limited resources and have to manage complex processes at the same time. An enterprise resource planning system optimizes logistics, shipping and the efficiency of business processes by addressing the individual needs of small and medium-sized companies. By using a centralized ERP solution, they can increase their efficiency, reduce errors and increase their competitiveness. In addition, an ERP system enables better scalability, allowing companies to grow flexibly without their IT infrastructure becoming a bottleneck. A Enterprise Resource Planning (ERP) system is a Company-wide software solutionwhich are various Business processes integrated and automated. Modern ERP software includes numerous Moduleswhich can be combined according to company requirements:

Cloud ERP systems offer the advantage of flexible scalability and location-independent use, while On-premise ERP systems more control over Data and security offer.

ERP and AI: more efficient, smarter with Nexivis.ai

1. definition and importance of ERP systems

A ERP system (Enterprise Resource Planning) is an integrated Software solutionwhich covers the entire Business process chain of a company covers. It is used to plan, manage and control internal resources as efficiently as possible. ERP systems are suitable for companies of all sizes and industries and offer a wide range of functions, such as finance, materials management, production, sales, customer relations and supplier relations. By centrally managing and automating these processes, companies can increase efficiency, reduce errors and make informed decisions based on up-to-date data. A well-implemented ERP system makes it possible to capture and analyze all relevant information in real time, resulting in improved transparency and control over company processes.

2. history and development of ERP systems

The history of ERP systems began in the 1960s, when the first materials management systems were developed. These early systems were designed to improve inventory management and production planning. In the 1970s, the first integrated systems came onto the market, covering several areas of the company and thus enabling more comprehensive control of business processes. The term "ERP" was coined in the 1980s, when systems became increasingly complex and comprehensive. With the introduction of personal computers and network technologies in the 1990s, ERP systems experienced a further surge in development. Today there are a large number of ERP systems on the market that adapt to the needs of companies of all sizes and industries. Modern ERP systems use advanced technologies such as cloud computing, artificial intelligence and big data to be even more powerful and flexible.

2 Which ERP providers are there for SMEs?

The market for ERP software is diverse. The challenges and diversity in the software market, especially for ERP systems, are remarkable. The number of available solutions and providers for small and medium-sized companies has grown considerably, making it difficult to select suitable software. Cut-throat competition and different requirements depending on industry and company size also play a major role. Some providers have established themselves particularly strongly in the SME sector and are characterized by specific strengths. While Haufe X360 convinces with its cloud flexibility, offers proALPHA in-depth industry solutions for production and retail. SAP Business One is ideal for growing companies looking for a comprehensive finance and logistics solution. Microsoft Dynamics 365 scores with seamless integration into existing Microsoft environments and strong CRM functionality. The choice of the right provider depends heavily on the specific requirements of a company. The market for ERP software is multifaceted. Here is one Overview about established ERP provider for SMEs:

1st Haufe X360

2. proALPHA

3. SAP Business One

4. Microsoft Dynamics 365

3. what advantages does an ERP system for SMEs offer?

1. efficiency increase & cost reduction

2. optimized business processes

3. scalability & flexibility

4. better customer relationships through CRM integration

4. ERP in the cloud vs. on-premise software

1. the differences between ERP in the cloud and on-premise systems

ERP systems can either be used in the Cloud or as On-premise software be operated in the cloud. The cloud variant offers the advantages of greater flexibility, scalability and cost efficiency. Companies can rely on their ERP data from anywhere and do not have to worry about hardware maintenance. In contrast, the on-premise variant offers greater security and control over the Dataas the software is installed and operated on the company's own servers. This can be particularly important for companies that have to meet strict data protection requirements or process sensitive data.

2. advantages and disadvantages of cloud ERP and on-premise ERP

Cloud ERP:

Advantages:

Disadvantages:

On-premise ERP:

Advantages:

Disadvantages:

It is important to note that the choice between Cloud ERP and On-premise ERP depends on the specific needs and requirements of the company. Companies should carry out a thorough analysis of their business processes and IT infrastructure in order to find the best solution for their individual requirements.

4 How can Nexivis.ai maximize the added value of an ERP system?

Nexivis.ai makes it possible to medium-sized companies, your ERP data through AI-supported analyses optimally. The solution is specially tailored to the comprehensive requirements and business processes of medium-sized companies. Here are some Use cases:

1. automated data analysis and decision-making

Through the integration of Vector databases and Retrieval Augmented Generation (RAG) can Nexivis.ai ERP data analyze in real time and Intelligent recommendations for action deliver. As planning software, Nexivis.ai helps companies to plan, manage and control their internal resources efficiently.

ExampleA production company automatically detects bottlenecks in the supply chain and receives suggestions for optimization.

2. hyper-personalization in the CRM area

Nexivis.ai uses ERP and CRM datato enable personalized customer communication in real time. This has several advantages:

3. AI-supported process automation

Recurring tasks can be performed by Automated AI agents This allows employees to concentrate on strategic tasks. Nexivis.ai is specially tailored to the needs of medium-sized companies and makes it possible to efficiently integrate different areas of the company.

ExampleInvoices are automatically recorded, checked and forwarded without manual intervention.

4. security and data protection benefits

Conclusion: Future-proofing with the right ERP strategy

A ERP system for SMEs is not a luxury, but a necessity in order to remain competitive in the long term. The challenges and diversity in the software market, especially for ERP systems, are enormous, as the number of available solutions and providers for small and medium-sized companies has grown considerably. Choosing the right ERP software depends on individual company requirements. Nexivis.ai makes it possible, through intelligent data processing and AI-supported process optimization get the full benefit from an ERP system. Companies that invest in an modern ERP solution Investing in our products and services will benefit tomorrow from greater efficiency, better customer relationships and a sustainable competitive advantage.

Checklist for selecting the right ERP system for SMEs

The right choice of ERP system is crucial for the long-term success of a medium-sized company. The full potential of an ERP system can be exploited through a structured selection and the use of intelligent technologies such as Nexivis.ai. A ERP system for SMEs is not a luxury, but a necessity in order to remain competitive in the long term. Choosing the right ERP software depends on individual company requirements.

Nexivis.ai makes it possible to use intelligent data processing and AI-supported process optimization get the full benefit from an ERP system. Companies that invest in an modern ERP solution Investing in our products and services will benefit tomorrow from greater efficiency, better customer relationships and a sustainable competitive advantage.

In the dynamic world of e-commerce, a professional agency for web store solutions is the key to success. Smaller agencies often offer more personalized support and more flexibility compared to large agencies. With the continuous growth of online commerce, companies need an experienced partner to navigate them through the complexity of the digital market.

Why a web store agency is indispensable

A specialized e-commerce agency offers comprehensive support from strategic planning to technical implementation. It has the necessary expertise to select the right store software, be it Shopify, WooCommerce, Magento or other platforms. Our services include both B2C and B2B solutions to meet different requirements.

Range of services of a modern web store agency

Strategic consulting and design by e-commerce experts

Webshop development and design

1000-brands.com Webshop

Technical implementation and integration of online store systems

AI integration for mapping and hyper-personalization

We implement powerful artificial intelligence in your processes. We specialize in mapping processes and hyper-personalization of your webshop for optimal conversion. Feel free to contact us

Online marketing and conversion optimization

SEO optimization for online stores

Effective SEO optimization is crucial for the success of an online store. Our e-commerce agency offers you professional SEO consulting and optimization to improve your online presence and increase your sales. Through targeted measures, we increase the visibility of your store in search engines and ensure that potential customers can find you more easily. With our support, you can ensure that your online store not only looks good, but also ranks at the top of the search results.

SEO advice from the experts

Our e-commerce experts have many years of experience in the SEO optimization of online stores. We help you optimize your website to improve your visibility in search engines and increase your conversion rate. Through a detailed analysis of your current SEO strategy and the implementation of proven techniques, we ensure that your store ranks better in the search results. Rely on our expertise to maximize your online presence and reach more customers.

Optimization during relaunch - analysis and webshop programming

If you want to relaunch your online store, it is important that you adapt your website to the latest SEO standards. Our agency will help you analyze and program your webshop to improve your online presence and increase your sales. We review your existing website, identify weaknesses and implement necessary changes to ensure that your store meets the latest SEO requirements. So you can be sure that your relaunch will be a complete success.

Ongoing care and support

Advantages of working with a specialized agency

  1. ExpertiseAccess to a team of e-commerce experts with extensive industry knowledge.
  2. Time savingFocus on the core business while the agency handles technical details.
  3. Cost efficiencyAvoid costly mistakes through professional planning and implementation.
  4. ScalabilityImplementation of solutions that can grow with the company.
  5. Competitive advantageUse of the latest technologies and trends in e-commerce.

Selecting the right e-commerce agency

Choosing the right e-commerce agency is crucial to the success of your online store. Here are some tips on how to find the right agency for your needs: Pay attention to the agency's experience in the e-commerce industry, check their credentials and certifications, and make sure they have the expertise to meet your specific needs. A good agency will not only help you with the technical implementation, but also offer strategic advice to make your store a success.

Find out about experience, references and certificates

Before you hire an e-commerce agency, you should find out about their experience, references and certificates. Our agency has many years of experience in the e-commerce industry and can provide you with numerous references and certificates. These certificates are an indicator of the quality of our work and our commitment to the success of our customers. Put your trust in our expertise and let us work together to make your online store a success.

Conclusion: The path to e-commerce success

Choosing the right agency for your online store is an investment in the future of your company. An experienced e-commerce agency offers not only technical know-how, but also strategic insights that are essential for success in online retail. With the right partner at your side, you can develop a webshop that is not only functional and aesthetically pleasing, but also effectively supports your business goals and gives you a competitive edge in the digital marketplace.

Invest in a professional web store agency and lay the foundation for your long-term e-commerce success.

In the rapidly evolving business world, SMEs face the challenge of using customer data effectively to create personalized experiences and strengthen long-term customer relationships. The integration of artificial intelligence in CRM plays a crucial role in this, as it significantly improves the efficiency of data analysis and processing. While many CRM providers rely on low-code solutions, Nexivis.ai, a platform developed specifically for SMEs, offers a superior solution with its innovative tech stack of vector databases, Retrieval Augmented Generation (RAG) or CRAG and Large Language Models (LLM). This enables more in-depth analyses, true hyper-personalization and comprehensive automation. This article highlights the advantages of this AI-supported CRM integration and shows practical use cases.

The role of AI in customer relationship management

The implementation of artificial intelligence in CRM offers numerous advantages for customer relationship management. AI technologies improve the efficiency of customer data analysis and processing, enabling companies to create personalized customer experiences and increase customer loyalty. AI also optimizes business processes and improves the overall customer experience. A solid IT infrastructure and qualified employee training are necessary to successfully implement AI in CRM.

What is AI in the CRM context?

Definition of artificial intelligence in CRM

Artificial intelligence (AI) in the CRM context refers to the use of advanced technologies that enable companies to efficiently analyze and use customer interactions and data. AI systems are able to process large amounts of data, recognize patterns and make automated decisions based on these analyses. This enables companies to optimize their customer approach and create personalized experiences. By using AI, companies can not only increase the efficiency of their CRM systems, but also gain deeper insights into the behavior and needs of their customers.

The role of AI in customer relationship management

The role of AI in customer relationship management (CRM) is diverse and crucial for improving customer relationships. AI can analyze customer interactions and enable personalized approaches by taking into account relevant data points such as purchase history, website interactions and social media. In addition, AI can significantly increase the efficiency of CRM processes by automating routine tasks and leaving employees more time for strategic tasks. This leads to improved customer care and stronger customer loyalty. Companies that integrate AI into their CRM system can therefore not only optimize their internal processes, but also take the customer experience to a new level.

Why Nexivis.ai instead of low-code CRM solutions or solutions with AI integration?

Many companies rely on low-code CRM solutions that offer simple automation but are severely limited in terms of data processing, real-time analysis and personalization. The AI-supported CRM solution from Nexivis.ai, on the other hand, offers:

  1. Advanced AI analyses: Vector databases enable complex search queries and in-depth links between customer data.
  2. True hyper-personalization: RAG or CRAG and LLMs can be used to customize content and recommendations in real time.
  3. Seamless integration: While many low-code solutions offer standardized interfaces, Nexivis.ai adapts precisely to existing business processes and integrates seamlessly with ERP, PIM and CRM systems. These integrations enable users to efficiently connect existing systems and manage data centrally.
  4. Scalability and data protection: All AI processes run on the company's own tenant, which guarantees data protection and security.
  5. Central data and knowledge base: Nexivis.ai acts as a "single source of truth" and enables the holistic integration of different systems.
  6. Future-oriented application development: The platform provides the basis for the development of innovative, AI-supported applications.

Practical examples of the connection between AI and CRM

1. hyperpersonalization in sales and marketing

2. AI-supported customer support: intelligent chatbots and live assistance

3. dynamic lead scoring models for sales

4. real-time reporting and analysis

Advantages of AI integration with Nexivis.ai

  1. Higher conversion rates through hyper-personalization.
  2. Increasing efficiency through automated processes and supporting business processes with AI.
  3. Better decision-making through real-time data analysis.
  4. Scalability without restrictions.
  5. Cost savings by reducing isolated IT systems and lowering license and operating costs.
  6. Increasing competitiveness by reacting quickly to market changes.

Challenges and concerns

There are also challenges to consider when integrating AI into CRM systems:

Example of success: Klarna

Fintech company Klarna was able to achieve significant cost savings by using an AI-powered support chatbot. The chatbot answers routine queries automatically, resulting in a 30% reduction in support costs while improving customer satisfaction. This implementation of AI in customer relationship management demonstrates how artificial intelligence improves the efficiency of customer data analysis and processing, enabling companies to create personalized customer experiences and increase customer loyalty.

Implementation of AI in CRM

Solid data management

Solid data management is the basis for the successful implementation of AI in CRM. Companies need to ensure that their data is accurate and consistent in order to use AI systems effectively. This includes the careful collection, storage and management of customer and transaction data. Another important aspect is the integration of data from various sources such as social media, emails and customer feedback. Through this integration, companies can create a comprehensive picture of their customers and enable personalized approaches.

If you as a company are of the opinion that your data quality is not sufficient, we can also remedy this with our solution. See here: https://nexivis.ai/blog/wiki/schlechte-datenqualitaet-im-mittelstand/

The implementation of AI in CRM also requires a powerful IT infrastructure that is capable of processing large volumes of data and executing complex algorithms. Companies must ensure that their IT infrastructure is aligned with the requirements of AI systems in order to utilize the full power of AI. Our solution runs both on-premise and in a cloud structure with its own tenant, so that your company data is secure at all times.

Overall, implementing AI in CRM is a complex process that requires careful planning and execution. Companies need to ensure that they implement the right technologies and processes to harness the full power of AI and improve their customer relationships. The advantage of the Nexvis.ai solution is obvious; with our tech stack, additional data sources can be gradually connected to the database, creating a single source of truth that enables many more use cases for SMEs. Our solution is highly scalable.

Conclusion

The combination of AI and CRM offers companies a significant competitive advantage. In contrast to standardized low-code approaches or well-known CRM providers with AI integration, Nexivis.ai enables deeper data analysis, true hyper-personalization and seamless system integration. As a strategic partner for the digital transformation of medium-sized companies, Nexivis.ai goes beyond a pure technology solution. Companies that want to take their CRM processes to the next level should rely on AI-supported solutions such as Nexivis.ai at an early stage to increase efficiency, optimize customer relationships and sustainably increase sales.

Our AI-powered BIM solution is revolutionizing the construction industry by automating planning processes, reducing costs through precise data analysis and enabling sustainable construction projects through intelligent resource optimization - all in an integrated platform that significantly increases your competitiveness. Artificial intelligence (AI) and BIM will shape the future of construction more effectively.

Key Takeaways

Why BIM & artificial intelligence are the future of construction

The construction industry is facing a digital transformation. Increasing demands for sustainability, cost control and efficiency require new solutions. This is where the combination of Building Information Modeling (BIM) and Artificial Intelligence (AI) comes into play. Our solution for BIM software, which integrates AI technologies, optimizes planning processes, construction execution and building modelling by:

✔ Automated 3D models for more precise designs. 3D models play a crucial role in the efficient planning and execution of construction projects.

✔ BIM data analysis with AI algorithms for faster decision-making processes. Correct model data is essential for efficient planning.

✔ Optimization of energy consumption and material usage for sustainable construction. AI significantly improves the accuracy of simulations for the building.

✔ Use of modern technologies to design energy-efficient buildings.

✔ Construction companies benefit from more efficient construction planning, potentially lower costs and optimized construction processes. The aim of implementing BIM and AI in architecture and construction is to achieve technological advances and environmentally friendly objectives.

Introduction to Building Information Modeling (BIM)

Building Information Modeling (BIM) is a digital design and planning process that improves collaboration and communication between architects, engineers and construction companies. BIM enables the creation of a digital model of a building that contains all relevant information, such as geometric data, materials, installations and operational data. This digital model can be used throughout the entire life cycle of the building, from planning to maintenance.

BIM is an important part of the digital transformation in the construction industry and offers many benefits, such as improved planning accuracy, reduced construction time and increased efficiency. BIM can also be used to improve the sustainability of buildings by analyzing the energy efficiency and environmental impact of buildings.

Our tech stack: How AI is revolutionizing BIM

Vector databases: the basis for precise BIM data

BIM is based on large volumes of data on existing buildings, building models and construction projects. Our vector databases make this possible:
✔ Quick search and analysis of planning data
✔ Efficient storage and retrieval of complex BIM data
Integration of external interfaces for optimized processes

RAG/CRAG: Intelligent planning with AI-supported data

Retrieval-Augmented Generation (RAG) and Contextual RAG (CRAG):
📌 Context-related information extraction from various data sources
📌 More precise analyses by combining BIM, ERP and CRM data
📌 Smart risk assessment through AI-supported data analysis

LLMs: Automation for construction processes and BIM models

Our Large Language Models (LLMs) generate:
🏗 Automatic reports on building development
🏗 Natural language queries and answers for non-technicians
🏗 Personalized communication and offers based on comprehensive data sets

Added value of AI-supported BIM solutions for companies

By combining artificial intelligence and BIM software, integrated with ERP and CRM systems, processes can be accelerated, potential cost savings realized and sustainable construction projects implemented more efficiently.

Automation in the construction industry through AI

3D models with AI-generated planning processes

AI-supported 3D models enable faster, more accurate and more sustainable planning.
✔ Faster modeling of buildings
✔ Dynamic adaptation to new building regulations
✔ Automatic error analysis using AI algorithms

Smart construction processes with AI

BIM software optimized with AI functionality:
📌 Automatic quantity takeoff and construction cost calculation
📌 Intelligent material management for sustainable construction
📌 Digital twins for more precise construction planning

📌 All players on the construction site are provided with new data, changes and delays relating to the task area in real time (own dashboard by trade or role possible). This makes it as easy as possible to use.

These innovations are the key to the future of the construction industry.

Sustainability

🌱 Optimized energy consumption in buildings → Smart AI analyses for sustainable construction
🏗 Reduced material usage → AI-supported material optimization
♻ Automated sustainability assessment → Improvement of the ecological footprint

Building information modeling and AI can be used to plan buildings in a more energy-efficient, sustainable and resource-saving way.

Challenges and solutions for integration

Data integration and interfaces

Solution: Our AI systems enable seamless integration into existing BIM, ERP and CRM software.

Data protection and BIM data management using AI

Solution: AI-supported encryption technologies ensure secure BIM data processing.

Acceptance in the construction industry

Solution: Process optimization and potential cost savings increase acceptance. Successful digitalization requires smart technologies - BIM combined with AI is the solution.

Best practices for the application of AI in BIM systems

The application of Artificial Intelligence (AI) in Building Information Modeling (BIM) can improve the efficiency and accuracy of construction projects. Here are some best practices for using AI in BIM:

  1. ModelingBuilding modeling is an important step in the application of AI in BIM. It is important that the models are correct and detailed to ensure that the AI models deliver correct results.
  2. Data qualityThe quality of the data is crucial for the application of AI in BIM. It is important that the data is correct and consistent to ensure that the AI models deliver correct results. However, it is also important to know that AI can significantly improve data quality. See also: https://nexivis.ai/blog/wiki/schlechte-datenqualitaet-im-mittelstand/
  3. AlgorithmsChoosing the right algorithms is crucial for the application of AI in BIM. It is important that the algorithms are correct and efficient to ensure that the AI models deliver correct results.
  4. TrainingTraining of employees is crucial for the application of AI in BIM. It is important that employees are properly trained to ensure that they can apply the AI models correctly.
  5. IntegrationIntegration of AI in BIM is crucial for the application of AI in BIM. It is important that the AI models are correctly integrated into the BIM software to ensure that the AI models deliver correct results.

By following these best practices, the application of AI in BIM can improve the efficiency and accuracy of construction projects and increase the sustainability of buildings.

The future of BIM and artificial intelligence (AI): The digital transformation of the construction industry

📌 Building Information Modeling BIM and artificial intelligence as the standard for construction projects
📌 Automated construction processes through AI-supported software solutions
📌 Greater efficiency, sustainability and planning accuracy

🚀 The future of the construction industry is digital - now is the right time for transformation.

Conclusion & recommendations for companies

Why should companies rely on AI-supported BIM solutions?

✅ Accelerated construction planning thanks to automated processes
✅ Potential cost savings through optimized material usage and processes
✅ Sustainable building planning with AI-supported energy analyses
✅ Improved data integration and decision-making

🔹 Act now & optimize BIM with artificial intelligence!

In a world where artificial intelligence (AI) is increasingly contributing to competitive differentiation, companies are faced with a choice: should they rely on generic AI tools or integrate a customized AI solution into their business model? Custom AI can make all the difference, especially for SMEs, which are faced with industry-specific challenges and individual requirements.

What is Custom AI?

Custom AI refers to artificial intelligence that is specifically tailored to the individual needs of a company. While standard AI tools offer general functions that are often only partially customizable, a tailor-made solution enables deeper integration into existing systems, processes and workflows. It can specifically address industry-specific challenges and continuously adapt to new developments.

A key advantage of our custom AI solution is the centralized use of all existing data in the company. Through the combination of Vector databases, Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) numerous individual applications can be created that are precisely tailored to the company's objectives. This makes it possible:

Why is custom AI particularly relevant for SMEs?

SMEs are facing particular challenges: On the one hand, digitalization requires increased efficiency, while on the other, existing processes need to be intelligently optimized rather than simply automated. Standard AI tools are often unable to deliver the desired results here as they are not flexible enough to respond to specific company requirements.

A custom AI solution offers:

Comparison: Custom AI vs. standard AI tools

Practical examples of custom AI in SMEs

E-Commerce:

An online store can use custom AI to make hyper-personalized product recommendations in real time. The system not only analyzes user behaviour on the website, but also incorporates CRM data and external factors such as seasonal trends.

Mechanical engineering:

Manufacturers can use individually trained AI to carry out predictive maintenance in order to prevent expensive machine failures. The AI analyzes sensor data and detects potential faults at an early stage, before they occur.

Trade & Logistics:

A medium-sized logistics provider can use custom AI to optimize route planning. By linking traffic data, stock levels and customer orders, the system can calculate the best delivery strategy in real time.

Customer support:

With Custom AI, a company can provide a support chatbot that not only delivers ready-made answers, but can also respond to individual customer queries by integrating with ERP and CRM systems. For example, queries about orders, complaints or technical problems can be resolved automatically and efficiently.

Lead acquisition through 1:1 hyper-personalization:

Custom AI enables companies to target potential customers with personalized content. By analyzing website interactions, CRM data and external factors, an AI can generate individual offers and messages in real time to maximize the conversion rate.

Construction industry: supplying subcontractors through BIM data integration:

In the construction industry, a custom AI solution can optimize procurement and logistics by linking BIM (Building Information Modeling) data with ERP and supply chain systems. This allows materials to be reordered automatically, supply bottlenecks to be anticipated and subcontractors to be coordinated efficiently.

Why Nexivis is the best choice for custom AI

As a provider of customized AI solutions for SMEs, we at Nexivis.ai understand the specific needs of a wide range of industries. Our solutions go beyond standard AI and combine vector databases, RAG (Retrieval-Augmented Generation) and generative AI to create real competitive advantages. We rely on secure, company-specific implementations that do not pass on any sensitive data to third parties.

Would you like to future-proof your company with custom AI? Contact us and find out how we can solve your individual challenges with intelligent AI!

Developing a successful app requires far more than just programming - it's about strategy, design, performance and scalability. As an experienced App development provider we support companies and start-ups in implementing tailor-made digital solutions. One of our founders has created the fintech app FinanceGeek already achieved a successful exit - clear proof of our expertise in the App development.

Why Nexivis.ai as your partner for app development?

Our experience goes far beyond classic App agencies beyond. We combine technological expertise with a deep understanding of the market and the requirements of modern companies. With FinanzGeek, our founder has already established a powerful Fintech app and web app with the following features:

✅ Connection of all bank accounts for a comprehensive financial overview
✅ Predictive analytics with AI support for smart financial decisions
✅ Automated chat translation in real time for international teams
✅ Project management and invoicing tools for companies and freelancers
✅ Zoom integration for meetings directly in the app
✅ Offline-capable data cloud for maximum flexibility

See the commercial for FinanzGeek here: https://youtu.be/Z1fMtkxmbHM?si=fbr2Wzmhm8pvarbA

Our Agency for app development is now using this knowledge to develop innovative solutions for customers from various industries. APP as desktop version also possible.

Our app development services

Whether iOS or Androidnative or Cross-platform-apps - we offer a wide range of development services:

📱 Have the app programmed: From the idea to the market launch
💡 Concept & Design: UX/UI design that inspires users
🚀 Cross-platform development: Efficient solutions with Flutter & React Native
🔒 Security & data protection: GDPR-compliant development Made in Germany
📈 Scalability & performance: Apps that grow with your company
🛒 E-commerce integration: Optimal solutions for E-commerce stores

App development for companies & startups

Whether you are a start-up with a new App idea or an established company that is striving for a digital transformation - our experienced Development team turns your vision into reality.

✔ Individual advice & strategy for your App project
✔ Agile project management for fast and efficient development
✔ Experienced IT service providers for customized solutions
✔ Top agency standards for the highest quality

Your way to your own app - here's how it works

1️⃣ Free initial consultation: Let's discuss your idea
2️⃣ Concept & Planning: We develop a customized strategy
3️⃣ Design & Development: Your app is created step by step
4️⃣ Testing & optimization: Highest quality for your application
5️⃣ Launch & Support: We support you even after the market launch

Have your app developed by the digital experts

As Top app agency we offer you Customized solutions - whether for iOS, Android or Web Apps. As an app development provider, we also combine the latest technology with AI. Benefit from our experience, our strong network and our passion for digital innovation.

📩 Make a non-binding inquiry now and start your app project!

In an increasingly digital world, customers expect fast, personalized and efficient responses to their inquiries. Companies that do not adapt their customer service accordingly not only lose competitiveness, but also customer satisfaction. With our powerful tech stack, consisting of a vector database, Retrieval Augmented Generation (RAG) or Context Retrieval Augmented Generation (CRAG) and Large Language Models (LLM), Nexivis offers a state-of-the-art chatbot solution for customer service. In this article, we explain when the Nexivis.ai solution for your chatbot support is the best choice for your company.

The importance of chatbot support for companies

The use of AI chatbots has proven to be essential for efficient customer service. Companies with an annual turnover of EUR 15 million or more are often faced with the challenge of dealing with increasing customer inquiries in various channels. A customer service chatbot makes it possible to provide first-level support around the clock, answer frequently asked questions automatically and relieve the support team of routine tasks.

The Nexivis.ai solution is particularly suitable for medium-sized companies that require a high volume of support or complex customer interactions and deep integration of company data. It offers a scalable, AI-powered chatbot that can leverage ERP, CRM and PIM data to provide customized, accurate and efficient responses.

Industries that particularly benefit from the Nexivis.ai AI chatbot support solution:

1️⃣ E-commerce & online retail

Typical challenges:

Many customer inquiries about orders, returns, delivery times

High ticket volume and rising API costs for AIaaS solutions

High demand for product data integration (PIM systems)

✅ Nexivis advantages:

✔ Connection to ERP & PIM for automatic response to order status inquiries

Reduces support costs by automating frequent customer queries

✔ Real-time product consulting by RAG/CRAG + LLM

2️⃣ IT and software companies (SaaS, MSPs)

Typical challenges:

Technical support with complex questions

Integration with support ticket systems & knowledge databases

High effort for onboarding & documentation search

✅ Nexivis advantages:

AI-supported first-level support for technical FAQs & troubleshooting

✔ Direct integration into service desk & CRM systems (e.g. Zendesk, HubSpot)

Reduces the ticket backlog through automated knowledge retrieval

3️⃣ Mechanical engineering & industrial companies

Typical challenges:

Complex products → Many technical support requests

Demand for system & maintenance data in real time

High costs due to manual service processes

✅ Nexivis advantages:

✔ Dynamic knowledge query from ERP & CRM systems (e.g. maintenance data, product manuals)

✔ Integration with IoT systems for real-time diagnostics

✔ Increase in first call resolution (FCR) through intelligent AI support

4️⃣ Finance & insurance companies

Typical challenges:

Regulatory requirements & GDPR-compliant customer interaction

Automation of insurance claims & contractual issues

High security requirements for customer data

✅ Nexivis advantages:

On-premise data storage on request & GDPR-compliant architecture

✔ Intelligent contract analysis with RAG-supported response generation

✔ Customer-specific advice in real time (e.g. tariff proposals, claims processing)

5️⃣ Telecommunications & energy industry

Typical challenges:

Masses of customer inquiries about tariffs, bills & faults

High costs due to hotline & call center operation

Need for omnichannel integration (web, app, telephone)

✅ Nexivis advantages:

✔ Self-service support for invoices & tariff optimization

Integration with CRM & billing systems for real-time customer care

✔ Omnichannel support for website, chat, WhatsApp & phone bots

Conclusion: For whom is Nexivis.ai particularly worthwhile?

💡 Company with:

✅ High ticket volume (> 5,000 tickets/month) and/or

✅ Complex customer inquiries that require company data

ERP/CRM integration for real-time support

✅ Need for scaling to reduce support costs in the long term

For smaller companies (<500 tickets/month) with standard requests, an AIaaS solution would be more economical.

➡ Nexivis.ai is the perfect chatbot support solution for data-driven, medium-sized companies with high support requirements and/or customization needs!

Our tech stack: The innovation behind Nexivis' chatbot support solution

1. vector database
By using a powerful vector database, customer interactions and historical support requests are efficiently stored and categorized. This allows the chatbot to generate relevant answers in real time by analyzing similar requests and their solutions.

2 RAG and CRAG technology
With Retrieval-Augmented Generation (RAG) or Context-Retrieval-Augmented Generation (CRAG), our chatbot combines generative AI with a targeted transfer of information from trustworthy data sources. As a result, users receive more precise and contextualized answers compared to conventional AI chatbots.

3. large language models (LLM)
Our chatbot platform uses advanced LLMs to not only provide pre-formulated answers, but also to process complex customer queries in a meaningful way and offer understandable explanations.

The advantages of the Nexivis chatbot solution

Areas of application of chatbot support for companies

1. e-commerce platforms: Customers receive immediate answers about products, shipping status and returns.

2. CRM systems: Companies can store customer data efficiently and use it to personalize support bots.

3. B2B companies: Automated customer care relieves sales and support teams and improves lead qualification.

4. IT support: AI-supported chatbots help with troubleshooting and forward complex problems to customer service.

Conclusion: Why Nexivis is the optimal choice

With our innovative AI-powered chatbot platform, we offer companies a scalable, intelligent and cost-efficient solution for customer support. Companies benefit from improved customer satisfaction, more efficient customer support and future-proof chatbot technology.

Contact us to learn more about integrating AI bots into your customer service! Experience next level chatbot customer service with Nexivis.ai.

The importance of AI with real-time data for companies

In today's digital world, companies are increasingly dependent on Artificial intelligence (AI) with real-time data to optimize processes, make decisions faster and secure competitive advantages. Especially for medium-sized companies with an annual turnover of 10 million euros or more, the targeted use of AI systems be decisive for success. Immerse yourself with us in the potential of AI with real-time data.

Our tech stack, consisting of a Vector database, Retrieval Augmented Generation (RAG) or Conversational RAG (CRAG) and large language models (LLMs)provides the optimal basis for powerful real-time AI. These components make it possible, Data streams efficiently and to process well-founded Decisions in real time to optimize decision-making processes.

Challenges in the use of AI with real-time data

Companies face several challenges when it comes to the use of Real-time data in AI applications goes:

Our solution solves these problems through an intelligent combination of Vector databases, RAG/CRAG technology and LLM-based analysis.

The Nexivis tech stack: an intelligent combination for real-time AI

1. vector database for efficient information processing

One Vector database enables ultra-fast and efficient Search within large Data volumes. Information is not only found on the basis of keywords, but also on the basis of semantic Findings.

Advantages:

2. RAG or CRAG for highly relevant answers in real time

With Retrieval Augmented Generation (RAG) ensures that AI systems on current Online information and not only access outdated Models set. The Conversational RAG (CRAG) technology goes one step further and allows a dynamic Interaction between AI and users.

Advantages:

3 LLMs: The next generation of AI interaction

Large language models (LLMs) from OpenAI and other providers ensure that companies are able to offer their Customers and employees Intelligent, context-related answers can provide.

Advantages:

Use cases: How companies are successfully using real-time AI

Companies that AI with real-time data benefit in various areas:

1. customer service

Automatic AI systems improve the Interaction with Customersby Answers in real time. Chatbots and AI apps analyze requests and provide Individual recommendations.

2. process optimization in the industry

By analyzing sensor data, machines can be maintained proactively. In this way Downtimes reduced and the Performance the Attachments increased.

3. dynamic pricing in e-commerce

With the help of real-time AI, the price of products in online stores can be continuously optimized. Websites adapt dynamically Market changes to.

The following graphic compares the advantages of AI with real-time data to traditional systems:

Conclusion: Why real-time AI is the key to business success

Companies that AI with real-time data benefit from more efficient processesa better Customer interaction and faster decision-making processes. Our tech stack from Vector database, RAG/CRAG and LLMs offers a powerful solution for The companywho use their digital Development want to drive forward.

Find out more and get in touch with us. Discover how AI with real-time data can move your company forward.

Get in touch now and find out more!

In today's digital world, excellent customer service and an optimal customer experience are key success factors for companies. Medium-sized companies with a turnover of EUR 10 million or more are faced with the challenge of making their customer service more efficient, reducing costs and improving service quality at the same time. The use of AI technologies offers an innovative solution here. In this article, we would like to show you what AI can achieve in customer service.

Challenges in customer service and the role of AI

Customers expect a quick and precise response to their inquiries, whether by email, telephone or chat. At the same time, companies have to deal with limited resources and minimize operational costs. This is where artificial intelligence (AI) comes into play: it can automate processes, relieve support teams and take interaction with customers to a new level.

The Nexivis tech stack: efficient AI solutions for customer service in SMEs

Nexivis relies on a combination of a vector database, RAG (Retrieval-Augmented Generation) or CRAG (Conversational RAG) and Large Language Models (LLMs) to provide an innovative AI-supported customer service platform.

1st vector database: Intelligent data management for better service

A vector database enables the storage and processing of unstructured data such as emails, customer interactions or support documents in an efficient format. This allows customer inquiries to be analyzed more quickly and linked to the appropriate solutions.

Advantages:

2 RAG and CRAG: Combination of knowledge retrieval and generative AI

RAG combines classic information retrieval with generative AI so that customer inquiries are not just based on static FAQs, but are optimized by intelligently generating personalized answers. CRAG extends this approach with Conversational AI functions to conduct interactive and natural conversations.

Advantages:

3. large language models (LLMs): The basis of intelligent AI interaction

LLMs enable human-like interactions in customer service. They analyze customer inquiries, generate comprehensible answers and can automate service processes. Integration with vector databases and RAG/CRAG ensures that answers are not just generic, but tailored specifically to the company and its customers.

Advantages:

Areas of application and specific solutions for AI in customer service with Nexivis

1. automated answering of e-mails

AI can analyze incoming customer inquiries and automatically generate tailored responses or forward them to the right contact person. This saves time and improves service quality.

2. AI-supported self-service portals

Conversational AI allows customers to get answers to their questions, call up invoices or make service requests around the clock without having to wait for a human employee.

3. optimization of customer support with AI chatbots

AI chatbots answer common questions, forward more complex queries to the right contact person and thus ensure more efficient use of resources.

4. improved customer interaction through personalization

Thanks to AI technologies, customers are no longer fobbed off with generic answers. Instead, they receive personalized recommendations and targeted solutions based on their individual customer journey.

Comparison of the Nexivis Enterprise solution with AIaaS AI tools

While many AIaaS (Artificial Intelligence as a Service) solutions provide general models for different companies, Nexivis offers a specialized and tailor-made solution that integrates seamlessly into existing business processes.

Advantages of Nexivis compared to AIaaS:

The following table shows the clear advantages of Nexivis.ai over traditional solutions:

Comparison of Nexivis.ai with traditional support tools

Success stories and concrete benefits for AI in customer service

Companies that use AI in customer service report significant improvements in several areas:

Conclusion: Nexivis as a partner for artificial intelligence in customer service

The future of customer service lies in the intelligent combination of vector database, RAG/CRAG and large language models. Nexivis offers medium-sized companies a powerful AI solution that reduces costs, optimizes processes and increases customer satisfaction. With our innovative tech stack, companies can revolutionize customer service and secure competitive advantages.

Want to find out more about how Nexivis can transform your customer service? Contact us or visit our website for more information.

The integration of artificial intelligence (AI) is a decisive competitive advantage for companies in the digital age. With an innovative tech stack, Nexivis.ai offers a forward-looking solution that has been specially developed for SMEs. This article highlights how our technologies enrich industries and support decision-making processes at C-level. Immerse yourself with us in the topic of AI solutions for companies and how we can offer you maximum efficiency.

Our tech stack: the building blocks for efficiency and personalization

The Nexivis.ai tech stack combines several advanced technologies:

  1. Vector database on own tenant
    • Ensures data protection and control over company-specific data, as all information is stored exclusively on a dedicated, company-owned infrastructure.
    • Access restrictions and role-based authorizations ensure that only authorized users can access sensitive data.
    • The physical and logical separation of the databases prevents information from being mixed with other users or external systems.
    • Ensures data protection and control over company-specific data.
    • Enables efficient storage and access to context-specific information.
  2. Retrieval Augmented Generation (RAG)
    • Connects knowledge databases with AI-generated answers by retrieving relevant information from the databases and integrating it into the generated answers.
    • This process combines search technology with the strengths of LLMs to deliver answers that are both accurate and contextually relevant.
    • User data and queries are analyzed in order to derive the best possible information from the linked data sources and enhance it with AI-supported additions.
    • Connects knowledge bases with AI-generated answers to provide highly relevant and context-specific information.
  3. Conditional Retrieval-Augmented Generation (CRAG)
    • Performs an extended context analysis to deliver differentiated and accurate results.
  4. Suitable LLM (Large Language Model)
    • Flexible selection of the model depending on the use case, for example for text analysis, personalization or process automation.
  5. SDKs and APIs for data integration
    • Integration of all relevant data sources such as CRM, ERP, PIM, BIM and mail systems.
  6. Knowledge database integration
    • Perfect for training employees and improving the internal distribution of knowledge.
  7. Hyper-personalization through chatbot integration
    • The Nexivis.ai tech stack makes it possible to connect with intelligent chatbots that respond to customer or prospective customer inquiries in real time.
    • Through integration with CRM, ERP and other data sources, the chatbot delivers personalized solutions from the very first contact.
    • Examples of applications:
      • Healthcare: Patient inquiries about appointments or treatment options can be answered individually, based on the available patient files.
      • Retail and e-commerce: Dynamic product recommendations and tailored offers based on the customer's previous purchasing behavior.
      • Education and training: Personalized learning recommendations for students or employees, tailored to their individual progress and learning goals.
      • Financial services: Customers can receive precise and personalized information on investment opportunities or loan requests via the chatbot.
      • Logistics and transportation: Immediate, context-specific answers on delivery status and route optimization.
    • The Nexivis.ai tech stack makes it possible to connect with intelligent chatbots that respond to customer or prospective customer inquiries in real time.
    • Through integration with CRM, ERP and other data sources, the chatbot delivers personalized solutions from the very first contact.
    • Applications include personalized customer service, sales support, interactive product advice and targeted lead generation.

Industries and use cases for AI solutions for companies

Our solution offers added value for a wide range of industries:

1. Industry and manufacturing

2. Healthcare

3. Trade and e-commerce

4. Financial services

5. Construction and architecture

6. Education and training

7. Energy and utilities

8. Logistics and transportation

Advantages of our AI solutions for SMEs

One example of the effectiveness of our technology is Klarna. The company implemented an AI-powered support chatbot that had 2.3 million conversations in the first month, handling two-thirds of all customer service requests. This is equivalent to the work of 700 full-time employees and resulted in an estimated annual saving of 40 million US dollars (Source). This shows how powerful and cost-efficient AI solutions can be.

Conclusion

The Nexivis.ai tech stack offers comprehensive options to support SMEs on their path to digital transformation. Our customizable solutions help to optimize processes, manage knowledge effectively and deepen customer relationships. Take the opportunity to equip your company for the future with Nexivis.ai.

Talk to our experts to find the right AI solutions for your company.