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03.03.2026

Forecasting Software & Demand Planning Software by numi

 

Forecasting Software & Demand Planning Software by numi
Forecasting Software & Demand Planning Software by numi

München, 03.03.2026 (PresseBox) - The numi Forecasting Software Supports demand planners and sales teams in accurately forecasting demand at every level of detail, across any time horizon, and in any planning cadence. As a powerful sales planning software, numi combines cutting-edge AI technology with intuitive usability.

The AI forecasting software integrates diverse data sources such as order history, customer data, and marketing campaigns, leveraging AI models to generate forecasts at SKU, customer, and location level.

Forecasts can be broken down to any level via the bill of materials, enabling raw material forecasts for suppliers to be systematically generated and shared.

Key Features of the Forecasting Software at a Glance

Diverse Forecasting Methods: Access to over 15 AI-powered and traditional forecasting methods.

Best-Fit Selection: Automatic selection of the best-suited forecasting method

External Influencing Factors: Integration of CRM, IoT, macroeconomic, or other external data sources

NPI Launch Pilot: Planning and forecasting of new product introductions based on relevant product clusters

Hierarchical Adjustments: Flexible adjustments across multiple planning levels

Integrated Planning: Seamless alignment of volume, marketing, and financial plans

Proactive Alerts: Early notifications for forecast deviations

Forecast KPIs: Predefined or individually customizable performance metrics

Automated Data Cleansing: Detection and correction of out-of-stocks and outliers

Integrated Succession Management: Management of product successors and replacement chains via an intuitive user interface

Collaborative Demand Planning with numi Forecasting Software

The demand planning software integrates diverse data sources such as order histories, customer data, and marketing campaigns, leveraging AI models to generate precise forecasts at SKU, customer, and location level.

Die Forecasts werden im Zusammenspiel zwischen Planung, Vertrieb und Controlling bearbeitet, sodass alle relevanten Marktinformationen integriert sind. Dadurch entsteht ein einheitlicher und transparenter Forecast-Prozess – ein entscheidender Vorteil moderner Absatzplanungs-Software – über alle Unternehmensbereiche hinweg

In addition, numi supports data-driven decisions through intelligent algorithms – from automated data cleansing and proactive alerts to succession management and new product introduction (NPI) planning.

Data Science for Demand Planning at the Click of a Button

The forecasting software provides integrated data science tools that make it easy to set up and configure AI-powered forecasts.

Forecast features can be activated or deactivated from the feature catalog with a single click.

Both statistical forecasting methods and AI models are available and can be flexibly combined within the demand planning software.

The results of individual forecast runs are clearly aggregated and displayed per SKU.

Performance is automatically evaluated using key metrics such as forecast accuracy, forecast bias, and absolute deviations.

AI Forecasting: The Future of Demand Planning Software

The numi Forecasting Software combines modern AI methods, statistical models, and user-friendly workflows to elevate demand planning to a new level — precise, transparent, and fully data-driven.

Contact us to learn how numi's forecasting software and demand planning software can transform your supply chain management. Let us work together to elevate your business to a new level of efficiency and customer satisfaction.

Companies can get to know numi through a Demo or a Free Test Trial via the website.

 

Ansprechpartner

Stefan Gaubatz
+49 (152) 08972866

Über numi solutions GmbH:

Based in Munich, numi solutions GmbH aims to revolutionize how supply chain planning and decisions are made. The company focuses on organizations with complex supply chain requirements, delivering automated workflows, user-centric implementation, and explainable, AI-driven recommendations.

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