prognotix empowers planners to create and continuously optimize forecasts without creating additional workloads for data scientists or IT teams. It combines the power of 70+ AI/ML models with the security and control of your own Azure environment, helping your organization move from reactive planning to proactive optimization.
The power of
70+ AI/ML Models
Built to empower
Planners & Business Users
Create insights and business opportunities
Automatically evaluate and prepare your Data
Successfully navigate Market Changes
Continuously optimize Forecast Accuracy
Optimize Forecast Accuracy
without creating effort for
IT and Data Science teams.
Tackle large-scale, complex
forecasting challenges
securely within your
own cloud environment
Use 70+ AI/ML
algorithms with
built-in transparency
Maximize forecasting value without disrupting your enterprise landscape.
prognotix is built to integrate into existing ERP, Data, and Analytics architectures instead of competing with them. By complementing systems like SAP, D365, Oracle, Databricks, Fabric and Power BI, prognotix avoids functional overlaps and prevents data silos by safeguarding your single source of truth. This ensures that forecasts integrate seamlessly into both operational workflows and executive decision-making processes.
Turn existing data into better forecasts. But faster.
Ingest data directly from Excel or CSV files, connect directly to your Data Lake (Microsoft Fabric or Databricks), or integrate with ERP and other enterprise systems via API. Quickly test assumptions, enrich forecasts with new signals, and iterate without creating effort for IT.
Empower planners without creating IT or data science workload.
prognotix enables planners to build, test, and refine forecasts independently, applying their market knowledge without effort for IT or data science teams. Forecasts are automatically reconciled across hierarchies, ensuring consistent and auditable numbers from SKU level to executive roll-ups. Beyond a single baseline, planners can run scenario-based forecasts to assess alternative assumptions, support risk management, and evaluate trade-offs before decisions are made. This turns forecasting from a static planning task into an agile process, standardized across business units, yet flexible enough to respond to market volatility.
Reliable forecasts you can explain and audit.
From ARIMA and ETS to LSTM, TimeGPT, and further modern deep-learning approaches, prognotix orchestrates over 70 forecasting models and automatically selects the best fit per time series. Our agile workflow provides explainability and performance metrics leading to confidence, and trust for operational teams and executive stakeholders alike.
AI forecasting without compromising control or compliance.
prognotix runs as an Azure Managed Application entirely within your own Azure tenant. Forecasting data never leaves your environment, ensuring full data sovereignty, compliance with enterprise security standards, and seamless alignment with existing Azure governance and IT policies.
One forecasting platform, for your entire business.
Whether demand planning, procurement, production, inventory, or financial forecasting, prognotix scales across industries and use cases. Handle new products, volatile markets, and growing complexity without introducing additional tools or fragmented processes, establishing a transparent and consistent standard across business units and your entire supply chain.
We build our platform to evolve with your organization and the next generation of AI.
prognotix is designed for long-term adaptability, not short-term trends. Its cloud-native, integration-first architecture allows seamless interaction with AI agents, automation layers, and advanced analytics, while keeping humans firmly in control. This enables gradual adoption of agent-driven workflows, scenario automation, and decision support as your AI maturity grows, without compromising governance, transparency, or existing processes.
Select a forecast template fitting your specific use case.
Sales, volumes, stores, frequency, countries, traffic, etc.
Select and add external data (e.g. weather-data, GDP) to optimize results.
Visualize and review your forecast results.
Export your forecasts to your data lake or as a file (Excel, CSV).
Integrate your forecasts in business applications and workflows.
With accurate forecasting, manufacturers can predict the demand for products, product categories, or components across different locations or markets. This enables them to optimize their inventory levels and reduce the risk of stock shortages or overproduction.
The future of retail depends on accurate forecasting that meets customer needs across various product categories while reducing waste and overstock. Optimized inventory management ensures product availability, boosting customer satisfaction and supply chain efficiency.
Precise forecasting in the energy and utilities sector enables companies to accurately predict future energy consumption. This helps to efficiently plan resources, ensure grid stability, optimize costs by avoiding over- or under-supply, and improve customer satisfaction through better service delivery.
Solutions
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