What makes the Supergas’s achievement stand out is the context. Facing a challenging and evolving network, the digital team developed tools that turn complex data into fast, practical decisions. This approach is not a one-off success, but a solution that can be adapted and scaled across supply chains.
Value creationThe Supergas network intelligence project shows the power of combining deep business expertise with advanced data analytics. The project has already delivered measurable financial value, of which part has already been delivered, with further value ahead clearly identified.
The key strategic insight is that most of this value requires no significant investment. Instead, it comes from optimising how customers are served within the existing network, particularly through better allocation of high-volume customers. This positions the programme as a scalable profitability lever, combining immediate delivered value with a clearly defined pipeline of additional gains.
Looking ahead, the additional value is split between near-term achievable savings through further customer and network optimisation, and additional upside from targeted initiatives such as new locations and operational improvements. Prioritisation, of course, remains critical.
Overall, the project establishes a repeatable value engine, where realised gains, validated opportunities, and future initiatives are clearly mapped, enabling disciplined tracking across identified, committed, and captured value.
Dominique de Thouars stepped into the role of Chief Executive Officer at Adaptfy on 1 April 2025, bringing a wealth of experience from her 12-year career within SHV companies, including SHV Energy, Mammoet, and Nutreco. Her strong background in strategy, commercial leadership, and global operations has shaped her approach to driving innovation and value for the SHV family of businesses.
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 businessAdvanced 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 methodologyAnalyzing 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.
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.
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?