Demand Planning

The Modules advanced forecasting features and visual representation of data provide a rare complete overview of total inbound demand from any forecast in use.

Through our staging platform Blitz-up data can be imported directly from existing ERP systems or Excel sheets.

If data quality is poor, PLAIO creates exception reports that monitors data quality.

Performs machine learning forecasting and analysis using - either your existing BI tools or directly within the platform. With over 25 built-in forecasting models, PLAIO empowers your team with data-driven demand insights and significantly improved forecast accuracy, helping you prepare for future demand fluctuations.

Track actual unit or value sales over time and compare against historical and future forecasts. The MDC gives you a clear, visual representation of forecast accuracy and trends over time.

Demand planning software helps businesses predict future demand by analyzing historical data and market inputs. Tools like PLAIO consolidate forecasts and purchase orders, apply statistical models and machine learning, and offer manual overrides, dashboards, and simulations to support accurate, data-driven planning.

PLAIO connects with ERP systems like SAP and MS Dynamics via APIs, middleware, or flat files. It supports two-way data exchange, automates data flows, and complements existing tools without replacing them. Integration setup includes scoping your data structure and flow.

PLAIO uses around 25 statistical models and advanced machine learning to forecast demand. It selects the best model per product, supports new product forecasts (cold start), blends market and statistical inputs, and allows for manual adjustments and accuracy tracking.

Specialized software like PLAIO improves accuracy, automates planning, supports collaboration, enables scenario simulations, and provides real-time insights. It’s tailored for pharma, handles complex requirements, and scales with your business, outperforming manual spreadsheets.

Forecasting software collects sales data, market insights, and orders to predict future demand using statistical and ML models. It offers visual dashboards, manual adjustments, scenario planning, and alerts for anomalies, feeding data into broader supply chain processes.

PLAIO’s ML enhances forecasting by learning from historical and cross-product data. It supports new product launches, integrates human input, adjusts forecasts in real time, and powers features like adaptive planning in clinical trials and the AI-based Co-planner assistant.