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AI forecasting solutions

Transform data into future-ready decisions.

Talk to our experts

Back to our domains

AI forecasting solutions

Transform data into future-ready decisions.

Talk to our experts

Back to our domains

AI forecasting solutions

Transform data into future-ready decisions.

Talk to our experts

Forecasting is about confident decisions, not just numbers. But before adopting AI forecasting, teams often hesitate: unsure about data quality, deployment effort, or whether their team will trust the output. Superlinear helps cut through that uncertainty and turn forecasts into action.

CHALLENGES

Turn uncertainty into actionable insight with AI Forecasting

Turn Generative AI challenges
into real business value

Forecasting isn’t just about numbers, it’s about confidence in decisions. But many teams face key challenges before they can unlock the full potential of AI-powered forecasting. Here’s how Superlinear helps you move from guesswork to clarity:

Do we have the right data and modeling expertise?

Even with valuable data and internal expertise, turning it into accurate, actionable forecasts can be challenging. Managing seasonality, external factors, and shifting trends often calls for specialized tools and expertise, and it’s common to feel unsure about where to begin or what to prioritize.

We turn your raw data into fast, collaborative, goal-aligned forecasts, built by experts who know real-world dynamics.

Can we deploy and operationalize the model effectively?

It’s one thing to build a forecasting model, it’s another to make sure it runs smoothly, stays up-to-date, and fits into your business processes. Scaling from prototype to a robust, automated system usually takes more time and resources than expected, with questions around retraining, monitoring, and integration commonly arising.

Models trained in perfect conditions often fail when exposed to messy, real-world data.

We streamline deployment with tested workflows and real-time APIs so your forecasts stay accurate, scalable, and easy to maintain.

Will our team trust and adopt the forecasts?

Building trust in AI forecasts is just as important as building the model itself. Teams need clarity around uncertainty, explanations behind predictions, and confidence that the model reflects business realities. It’s natural to want more than just a number, you want to feel supported in the decisions that follow.

We build trust with interpretable models, transparent logic, and tools like Conformal Tights, so teams understand, engage, and act.

Our approach

From raw data
into real-world forecast

At Superlinear, we turn raw data into real-world foresight through a structured, collaborative forecasting process designed for speed, clarity, and long-term impact.

01

Data assessment & audit

We start by digging into your data: evaluating quality, completeness, consistency, and fitness for forecasting. We identify gaps early to prevent costly surprises later.

02 Exploratory analysis & hypothesis testing

In this experimentation phase, we uncover patterns, trends, seasonality, and signal strength. We assess whether the data tells a coherent story, and what’s missing.

03 Prototyping - Proof of concept

Next, we build lightweight models to test core assumptions quickly. This gives you a first view of what’s possible and helps align technical direction with business needs.

04 Evaluation framework & iteration

We develop a robust, quantitative evaluation framework tailored to your goals, from accuracy metrics to uncertainty bounds. Then we iterate, improve, and stress-test.

05 Industrialization & Integration

Once the PoC is validated, we scale. That means building modular, production-ready pipelines for forecasting, data ingestion, and delivery, ready for integration.

06 Automation, Monitoring & Retraining

We don't stop at deployment. We set up automated performance monitoring, model retraining pipelines, and alerts to ensure your forecasting system stays accurate and adaptive over time.

partnering benefits

Partnering benefits

Why partner with Superlinear for your AI Forecasting projects?

Superlinear delivers high-impact AI Forecasting solutions, built for your industry, aligned with your goals, and ready for real-world deployment.

Custom solutions for complex systems

Off-the-shelf tools often fall short when your reality is complex. We design forecasting systems that integrate deeply with your business logic, adapt over time, and evolve as your questions change.

Deep expertise, applied thoughtfully

We combine domain knowledge with advanced forecasting methods — from classical time series to machine learning and foundation models — always tailored to your context, not just the latest hype.

Uncertainty made actionable

Great forecasts include uncertainty. With our open-source tool Conformal Tights, we provide calibrated prediction intervals that empower better strategic decisions, not just averages.

From forecasting to planning

Once you know what’s coming, the next step is planning. We help you translate accurate forecasts into concrete resource allocation, scheduling, and operational plans.

Forecasts you can trust and understand

We go beyond predictions. Our AI forecasting models come with high-level explainability and clear reasoning, helping you build internal trust and make data-driven decisions with confidence.

Talk to our experts

Don't take our word for it.
See what our customers say.

“This project was very successful. It allowed us to provide internal and external stakeholders with reliable and actionable data that they can use to make important decisions. Superlinear helped us prove the value and the potential of this idea internally.”
Christophe Vander Elst
Project Manager Innovation @NMBS/SNCB
Read the impact case
“This project was very successful. It allowed us to provide internal and external stakeholders with reliable and actionable data that they can use to make important decisions. Superlinear helped us prove the value and the potential of this idea internally.”
Christophe Vander Elst
Project Manager Innovation @NMBS/SNCB
Read the impact case
“This project was very successful. It allowed us to provide internal and external stakeholders with reliable and actionable data that they can use to make important decisions. Superlinear helped us prove the value and the potential of this idea internally.”
Christophe Vander Elst
Project Manager Innovation @NMBS/SNCB
Read the impact case
“This project was very successful. It allowed us to provide internal and external stakeholders with reliable and actionable data that they can use to make important decisions. Superlinear helped us prove the value and the potential of this idea internally.”
Christophe Vander Elst
Project Manager Innovation @NMBS/SNCB
Read the impact case

SUCCESS STORIES

Proven AI-powered Forecasting solution in action

impact case

Data-driven inventory management: Predictive analytics for safety stock optimization at CNH

impact case

Superlinear and NMBS/SNCB on track to transform rail travel with cutting-edge data analysis.

impact case

Superlinear and Atlas Copco optimize production planning with AI

impact case

A customized AI planning solution for flight check-in at Brussels Airport

AI forecasting SOLUTIONS

Real-world applications of AI Forecasting solutions

Demand forecasting

Financial forecasting

Load forecasting

Customer behavior forecasting

Talk to our experts

Need a boost in your Forecasting projects?

Check out our free accelerator.

Accelerator

Conformal tights

Conformal Tights is Superlinear’s open-source Python package that adds principled uncertainty quantification to any forecasting workflow. Using coherent conformal prediction, it delivers statistically sound and intuitive prediction intervals, ensuring your forecasts aren't just precise, but reliable.

Conformal Tights ensures you can trust not only the point forecast, but also understand the range of possibilities, making your strategic planning resilient and data-driven.

Coherent quantile estimation

Guarantees quantiles never cross (e.g., your 25th percentile stays below the 75th), preserving logical consistency

Statistically valid coverage via conformal prediction

Provides prediction intervals that meet nominal coverage guarantees without assuming specific data distributions.

Plug‑and‑play integration

Works seamlessly as a meta‑estimator with scikit‑learn or as a Darts forecaster—just wrap your model, calibrate, and you're ready to go.

Efficient & data‑light calibration

Calibrates reliably with minimal data and supports both absolute and relative residuals—making it scalable across diverse forecasting scenarios.

Try it out on Github

try it out

FAQs about AI Forecasting

What is AI-driven forecasting, and how does it benefit businesses?

What are the benefits of AI forecasting?

Can AI-driven forecasting be tailored to specific industries?

Forecasting articles

ARTICLE

Five game-changing forecasting trends driving business insights

The scale and complexity companies have to contend with is continually increasing (McKinsey & Company, 2020). To keep up with this, data-driven forecasting has become crucial for making informed business decisions.

ARTICLE

Foundation Models for forecasting: the future or folly?

Foundation models hold promise for time series forecasting but remain underdeveloped. Superlinear, AI consultancy, tests three models—TimeGPT, Lag-Llama, and Chronos—revealing mixed results, with traditional methods still outperforming them in many scenarios.

ARTICLE

Using AI for demand forecasting in transportation

How can we use artificial Intelligence to create a more sustainable future? At a recent AI Café organized by Superlinear, five AI experts convened to discuss the potential of AI in fighting climate change.

Got questions or ready to dive in?

Partner with Superlinear to harness AI-powered forecasting, designed to drive efficiency, strategic agility, and predictive precision across your business. Reach out to our team to start building a dynamic, future-ready forecasting engine today.