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We create value through optimizing business practices and processes throughout the value chain with our extensive areas of expertise: dashboarding and visualization, data science and engineering, advanced statistical modelling, hardware and software engineering, strategy and execution.

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The International Day of Education is observed annually on January 24th. The dedicated day encourages us to celebrate the role of education in building a better future. In the rapidly evolving landscape of the 21st century, learning about technology, data, and analytics is pivotal in shaping the exciting world of tomorrow.

We can extend the sentiment of Mr. Mandela to emphasize the transformative power of data savviness in reshaping the educational landscape and empowering individuals to thrive in an ever-evolving global society.

 

On the International Day of Education, let us acknowledge the influence of data, analytics, and tech innovation on the educational journey. By leveraging these tools, we can pave the way for more inclusive, dynamic, and equitable learning experiences, ensuring that education remains a powerful force for positive change in the world.

 

Advanced data and analytics play a crucial role in advancing sustainability efforts across various domains, including business, government, and society.

Harnessing the power of data for sustainable business

Advanced data and analytics are indispensable tools for achieving sustainability goals across various sectors. By harnessing the power of data, organizations and governments can make informed decisions, reduce their environmental footprint, and contribute to a more sustainable future.

The fish feed business represents the large majority of Skretting’s sales. However, it is a business that is a highly seasonal one, dominated by a handful of major clients with a lot of bargaining power. Managing production during the peak demand season has been a significant challenge for Skretting North America because of several factors, too.

From historical data to improved forecast methodology

Analyzing a variety of historical data including sales, manufacturing, inventory and margins, allowed the team to engineer several relevant features that would form the basis of the MTS selection process. After clustering and classifying these items and identifying product groups with favorable MTS characteristics, the recommendation engine was approached as an optimization problem, suggesting an optimal production volume given the existing production and capacity constraints.

As for the improved forecast methodology, a number of statistical and machine learning models were considered and trained on the available historical sales. More specifically, different variations of the Seasonal AutoRegressive Integrated Moving Average (SARIMA) model, which attempts to predict future sales based on their history, were taken into account by employing a champion approach and selecting the best-performing model on an Item-by-Item basis.

 

The MTS Pro Tool

The final solution presented to Skretting consists of an interactive MTS Pro application, allowing the firm’s production planners to visualize and inspect the recommendations coming out of the MTS engine as well as offering the possibility to explore the improved underlying forecast.

The tool’s MTS Recommendation panel prompts the user to fill in the current month’s constraints such as storage capacity as well as individual production capacity per line, identifying the optimal item selection before providing the production planner with an overview of the selection’s characteristics as well as their associated recommended volumes.

The Forecast view showcases the improved forecast for the upcoming 12 months, as well as displaying both Skretting’s and Adaptfy’s forecasts against the actual sales during that period.

 

We are pleased to announce that Wouter Schipper has been appointed CEO of Adaptfy effective July 10, 2023. The appointment signifies a new phase in Adaptfy’s commitment to excellence in advanced data analytics and digital technology for our partner, SHV. Wouter’s expertise and leadership will enable Adaptfy to create an even more positive impact throughout the whole value chain by means of the advanced D&A.

Revolutionizing Sales Order Predictions with Artificial Intelligence (AI): A Collaborative Success Story

 

Advanced data & analytics, digital transformation, and sales prediction modeling. Are there ways to enhance the capabilities of the sales teams using modern tech? The answer is yes. Herewith, we present you with a compelling case that highlights the transformative potential of artificial intelligence in the businesses of today. The case of Trouw Nutrition Brazil and Adaptfy joining forces to create a tool that has had a substantial positive impact on their business, sales, and customer satisfaction.

Nutreco’s One Data Team played a crucial role in Ian’s development.

Reach out to discuss how you can make better business decisions using D&A.

Would you like to learn about advanced Data & Analytics and their impact on businesses?

Are you a colleague from SHV, SHV Energy, Makro, Mammoet, Nutreco, Skretting, Trouw Nutrition or Kiwa?

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