Mixture of Experts Forecasting Framework
The Mixture of Experts Forecasting Framework is an adaptive, end-to-end forecasting platform that leverages the current state-of-the-art in the field. A Mixture of Experts in business forecasting is a machine learning method where several specialized models (“experts”) each focus on different types of data or patterns, and a separate system (the “gating network”) chooses the best expert for each task. This setup makes predictions more accurate and efficient, while saving time and resources by only using the experts needed for each input.
Get Started- Demand forecasting
- Capacity planning
- Sales forecasting
- Financial forecasting
Why Our Mixture Of Expert Forecasting Framework?
Adaptive Mixture Engine
Selects and combines the most suitable forecasting paradigms based on time series behavior.
Modular Pipelines
Configurable templates for different business domains enabling rapid deployment.
External Integrator
Incorporates macroeconomic, environmental, and operational data to enrich predictions.
Dynamic Selection
Evaluates data characteristics to assign model weights dynamically for optimal performance.
Plug-and-Play
Integrates seamlessly with ERP, planning, and analytics systems with low-code customization.
Continuous Learning
Monitors accuracy and retrains models automatically for long-term forecast stability.
One fits all vs. best of breed
Traditional one-size-fits-all forecasting models struggle to capture the diverse patterns across markets, seasons, and operations. Their rigid design limits accuracy and forces organizations to work around the model’s constraints rather than gaining real insight.
The Mixture of Experts Forecasting Framework solves this by combining multiple specialized forecasting models, each tuned to different patterns or behaviors. A gating network selects the best expert—or combination of experts—for each prediction, ensuring the right method is applied to the right scenario. This modular, adaptive approach delivers more precise, flexible, and scalable forecasts, capturing nuances single-model systems miss and adjusting seamlessly as conditions change.
Explore Opportunities with the Mixture of Experts Forecasting Framework
By combining adaptive forecasting techniques with foundation time-series models, the framework delivers a measurable leap in precision and business agility.
Organizations adopting this approach have increased forecasting accuracy from less than 70% to over 80%, while reducing manual forecast adjustments by more than 50%—enabling faster, data-driven planning and decision-making at scale.
To what extent can your organization benefit from AI and Generative AI–powered forecasting?
Depending on the size, complexity, and maturity of your organization, expected improvements in key performance indicators (KPIs) may range from 10% to 30%.
The following provides a preliminary estimation.
As part of our comprehensive value proposition, we partner closely with your organization throughout the change management process to ensure successful adoption. This includes onboarding key stakeholders, delivering tailored training programs to end users, and providing continuous support to drive full adoption of our solutions. Our approach emphasizes collaboration and responsiveness, ensuring that all relevant parties are engaged and equipped to maximize the benefits of new technologies.
Focus Group
We further enhance this process by organizing regular focus groups with users to actively gather their feedback. This user-centric approach allows us to adapt and refine our solutions in real time, applying a truly agile methodology. By integrating continuous feedback loops, we ensure that the implementation remains aligned with your evolving needs and organizational goals, ultimately fostering a smoother transition and higher ROI.
