Transform Forecasts into Action with Qlik Predict
▼ Summary
– Qlik has launched Multivariate Time Series (MVTS) in Qlik Predict, providing GPU-accelerated, explainable forecasting within Qlik Cloud.
– MVTS allows organizations to model multiple interdependent drivers like prices and weather, improving forecast accuracy and resilience.
– The WriteTable feature, planned for December 2025, enables teams to update operational data directly in Qlik based on AI forecasts.
– These capabilities are designed for no-code, governed use in areas such as inventory, workforce planning, and pricing to speed up decision-making.
– The platform integrates trusted data and analytics to deliver transparent, enterprise-ready predictive AI that reduces execution risks.
Businesses seeking to move beyond simple forecasting can now leverage the power of explainable, predictive AI directly within their analytics workflow. Qlik has officially launched its Multivariate Time Series (MVTS) capability in Qlik Predict, bringing GPU-accelerated forecasting into the core of Qlik Cloud. This innovation, initially previewed earlier in the year, enables organizations to model complex, real-world drivers and act on the resulting insights without delay. Complementing this, Qlik has announced the upcoming general availability of its WriteTable feature, slated for release next month. This functionality empowers teams to operationalize AI-generated forecasts by updating key operational tables and initiating downstream processes, all from within the Qlik environment.
Traditional planning often relies on tools that analyze variables in isolation, a significant limitation when factors like pricing, promotions, and supply chain disruptions are deeply interconnected. Qlik Predict transforms this process by modeling these intricate relationships in their proper context, providing clear explanations for performance shifts and actionable next steps. When combined with the forthcoming WriteTable, analysts can seamlessly translate these data-driven forecasts into governed business actions, such as adjusting purchase orders, staffing levels, or pricing strategies, directly within their analytical workflow.
Qlik Expands Predictive Capabilities with Multivariate Time Series
The newly launched features in Qlik Predict are designed to deliver both analytical power and operational clarity.
Inherently Multivariate: Teams can now build and compare forecasting models that consider multiple interdependent factors over time, allowing predictions to remain accurate even as market conditions shift. This establishes a continuous loop of prediction, explanation, and action.
Predict and Act: Users can model the real relationships that drive demand, cost, and capacity. They can test scenarios side by side, adjust forecast horizons, and identify the most effective model for each business-critical decision. These capabilities are expected to make an immediate difference across functions like inventory management and supply chain operations.
Within supply chain workflows, organizations can dynamically rebalance purchase orders by product and region using forecasts that incorporate multivariate demand signals and lead-time variability. The broader aim is to achieve measurable outcomes, fewer operational surprises, faster decision-making cycles, and better cash flow control. Qlik’s approach reduces forecast inaccuracies, shortens the path from data to decision, and eliminates manual handoffs that slow execution. Teams can test potential improvements against their historical data before scaling up, all within a governance framework suited for enterprise standards.
“In today’s volatile economy, an accurate forecast is effectively a blueprint for capital allocation,” said a senior Qlik executive. “Multivariate Time Series in Qlik Predict helps teams understand how real business factors interact and explain outcomes in practical terms.”
A user from a logistics software firm echoed this sentiment: “The ability to model real drivers and translate results into business language is transformative. With WriteTable, our insights become governed updates for orders and staffing. It’s a major step toward lowering execution risk and speeding operations.”
Built on Qlik’s unified data and analytics platform, these new AI-driven forecasting capabilities draw from trusted, high-quality data sources. Real-time integration and strong governance ensure that only accurate information feeds predictive models, while advanced analytics and security protocols keep all write-back actions compliant and controlled.
The Multivariate Time Series (MVTS) feature is now generally available to all Qlik Cloud customers. Availability follows the existing regional service boundaries for Qlik Predict, and current users can enable MVTS directly within their workspaces.
(Source: MEA Tech Watch)
