Predictwiser.Cloud

Demand Planning

Our AI-driven demand planning module is specifically tailored to the needs of the FMCG industry. By blending historical sales with external drivers like weather, promotions, holidays, and market trends, the software automates the selection of the most accurate forecasting algorithms for every product and region.

The system empowers sales teams with granular, customer-specific insights and clear visualizations of market influences. As a continuously learning solution, the AI models dynamically adapt to seasonal fluctuations and shifting trends, allowing planners to proactively optimize inventory and reduce out-of-stock risks with ease.

AI demand planning dashboard showing forecast accuracy, sales trends and inventory development with reorder point analysis.

Watch to learn more about our Demand Planning Module.

Automatic selection of AI models

Optiwiser's proprietary technology, StreamWiser™, uses advanced AI technology to automate the demand planning process. It automatically selects the best algorithms based on their expected future performance, resulting in more accurate forecasts. StreamWiser™ dynamically adapts to different demand patterns by selecting the optimal algorithm for each period. This makes it easier to manage seasonal and demand fluctuations.

Detailed demand planning view comparing historical sales and forecasted demand at product SKU level.
AI-driven demand planning impact analysis with external drivers such as holidays, seasonality, Google Trends and promotions.

Promotions, Weather, Holidays, Events and Market Trends

To account for external influences in the forecast, additional factors are incorporated — promotions, weather, public holidays, vacation periods, special events and market trends are all integrated into the forecast. The result: a continuously learning AI with noticeably improved forecasting accuracy. In addition, the impact of these external factors is analyzed and presented in clear, easy-to-read charts.

Forecast per client

The system also enables article-specific forecasts for individual customer groups (e.g., Aldi Süd, EDEKA, Walmart) and specific regions (e.g., Bavaria, Germany, Europe) – a valuable support for the sales team in demand planning. In addition, sales planners are supported by statistical analyses of sales trends, allowing them to respond to changes at an early stage.

Demand Planning dashboard with monthly forecast analysis comparing real demand, customer forecast and AI final prediction.

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