Artificial Intelligence

Discover the transformative power of AI and take your business to the next level with smart, scalable AI solutions.

Since its rise in 2022, Artificial Intelligence has evolved from a buzzword into a practical, accessible tool for businesses of all sizes. AI has moved beyond simple tasks like email writing and copywriting; it now plays a crucial role in optimizing operational processes across industries—and that’s where we come in.

At Cadran Analytics, we quickly develop AI models tailored to your business needs. By combining advanced technologies with deep business process expertise, we ensure that your AI solutions are both efficient and actionable. We’re all about delivering insights that help you make smarter, more strategic decisions.

What exactly is Artificial Intelligence?

AI refers to the development and use of algorithms that can perform tasks typically requiring human intelligence, such as analyzing patterns, forecasting trends, and making predictions. Examples include:

  • Predictive maintenance: Detecting potential failures in manufacturing equipment before they happen.
  • Demand forecasting: Predicting future demand in logistics and inventory management.
  • Cash flow forecasting: Providing better financial insights in the finance industry.
  • Operational optimization: Streamlining processes and resource planning across various departments.

Let’s look at a practical example: Imagine you’re a bicycle manufacturer. Predicting the right number of bicycles to produce helps you avoid costly unsold inventory while preventing customer churn due to long delivery times. With AI-driven demand forecasting, you can predict trends weeks or months in advance, optimizing production schedules and resource allocation.

How can we help you with Artificial Intelligence?

Cadran Analytics combines business process expertise with technical AI know-how. With Data Analysts and BI Consultants who understand your operations and Data Engineers and Data Scientists for technical solutions, we offer comprehensive AI services.

Building a Strong Data Foundation with Data Platforms

Successful AI initiatives start with a robust data infrastructure. Cadran Analytics specializes in setting up centralized Data Platforms that integrate data from multiple systems, such as ERP and CRM, into one accessible environment.

These platforms clean, transform, and prepare data for efficient AI model training. By creating a single source of truth, businesses can ensure data quality and readiness for AI applications.

Identifying High-Potential AI Use Cases

Not all business processes are equally suited for AI. That’s why we begin with a Discovery Workshop to identify areas where AI can deliver the most value. We assess data availability, existing pain points, and the potential for efficiency gains.

Typical areas we explore include:

  • Manufacturing: Predictive maintenance and production optimization
  • Logistics: Demand forecasting
  • Finance: Cash flow forecasting
  • Inventory Management: Stock optimization

Executing Proof of Concept (POC) Projects

Once the most promising use case is identified, we conduct a Proof of Concept (POC) to validate the AI model’s feasibility. The POC includes:

  • Data collection from relevant systems
  • Data cleaning and transformation
  • AI model training and testing
  • Accuracy evaluation

If the model proves successful, we help operationalize it for ongoing use in the business.

AI Model Development with Databricks and MLflow

We use Databricks as our main platform to make sure your AI models are secure, scalable, and cost-effective. Databricks comes with MLflow, a comprehensive framework for AI model development.

MLflow takes the complexity out of building custom AI models, so we can get them up and running faster, without the extra coding. This allows businesses to minimize implementation and maintenance costs.

Bridging Business and AI Expertise

AI models are only valuable if they produce actionable insights. Cadran Analytics brings together a multidisciplinary team of experts, including:

  • Data Analysts & BI Consultants: Focus on business process insights
  • Data Engineers & Data Scientists: Handle the technical side of AI

This combination ensures that AI solutions are both technically sound and practically relevant for the business.

Guiding Data-Driven Decision Making

We know that adopting AI can feel like a big shift for your business. Many companies still rely on gut instinct and experience when making decisions. AI predictions may initially need validation by experienced employees.

Our approach encourages gradual adoption by blending AI-driven insights with human expertise. As AI models prove their accuracy, businesses gain confidence in their use, reducing the need for manual checks over time.

Long-Term AI Strategy and Support

Cadran Analytics doesn’t just implement AI solutions—we partner with companies for long-term success. We provide ongoing support to:

  • Continuously monitor and improve AI models
  • Identify new AI use cases as the business evolves
  • Ensure data quality and platform scalability

Our goal is to enable companies to stay competitive by leveraging AI as a core part of their decision-making process.

ERP Integration

Get more out of your ERP data with Artificial Intelligence. We know these ERP systems inside and out.

Oracle JD Edwards

Get instant actionable insights from your JD Edwards data with our preconfigured data models.

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Oracle NetSuite

Unlock the full value of your NetSuite data with Cadran’s tailored BI solutions.

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Exact

Maximize the value of your Exact data and make fast, informed decisions with our BI solutions.

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AFAS

Transform your AFAS data into strategic insights with powerful BI solutions that optimize your processes.

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Our approach

We follow a clear, structured approach to AI implementation:

  1. Data Collection: We start by gathering relevant data from ERP, CRM, and external sources, essential for training AI models.
  2. Data Platform Setup: We set up a centralized Data Platform to clean, transform, and prepare data for AI use.
  3. Discovery Workshop: We identify areas with the most potential for AI, focusing on processes with available data and efficiency gains.
  4. Proof of Concept (POC): We validate the use case with a small-scale project, collecting data, cleaning it, and training an AI model. If successful, we proceed with full implementation.
  5. Model Training & Integration: We integrate the AI model into business processes. Initially, manual checks may occur, but over time, the model becomes more reliable.

Using platforms like Databricks and MLflow, we simplify AI development, reduce costs, and improve scalability. With a blend of technical expertise and business focus, we help businesses unlock AI’s potential, from demand forecasting to predictive maintenance.

With one foot in the ERP world

Companies choose Cadran Analytics because we offer a unique combination of deep ERP knowledge and Artificial Intelligence expertise. This enables us to not only deliver technical solutions, but also add strategic value by interpreting business data in context.

Our focus on customized and scalable solutions ensures that our clients get the most out of their data, while our personal approach and proven experience provide a reliable foundation. With a pragmatic mindset and a keen eye for detail, we make complex data challenges clear and actionable so your organization can make better decisions immediately.

Jelle Huisman managing partner

Jelle Huisman

Managing Partner

Knowledge Center