ketteQ Demand Planning

Automatically apply the most accurate statistical forecasting method at any level of hierarchy level— item, site, customer, channel, business unit—to ensure reliable predictions that drive better planning decisions.

Harness advanced machine learning algorithms to identify patterns and trends, delivering precise forecasts tailored to your specific data through best-fit analysis powered by PolymatiQ™.

Integrate a variety of open-source or proprietary forecasting methods using ketteQ’s plug-in best-fit forecasting API, from Python to Meta and AWS, etc., ensuring a flexible and robust forecasting process.

Improve forecast accuracy by using our out-of-the-box external variables such as government policies, economic conditions, and industry indicators, automatically accounting for causal factors at different lags that impact demand.

Utilize real-time sales opportunity and pipeline data correlations to align inventory with market dynamics to drive optimal results.

Capture short-term demand signals to adjust forecasts in near real-time, responding quickly to market changes and reducing forecast errors.

Plan new product introductions and phase-outs with confidently by incorporating historical data, like products, market trends, and sales forecasts into your launch strategy.

Influence demand through targeted promotions and adjust forecasts accordingly to optimize sales, inventory levels and maximize revenue

Streamline the forecasting process with easy-to-use tools for data uploads, adjustments, and building cross-team consensus.

Stay informed with real-time alerts and intuitive dashboards that provide a comprehensive view of demand planning activities, performance, and opportunities for improvement

Automatically monitor and track forecast accuracy and bias, pinpointing areas for improvement to ensure your planning improves over time.

Automate routine tasks using AI/ML capabilities, freeing up planners to focus on strategic activities that drive business growth.

Foster cross-departmental collaboration to create a unified, accurate demand plan that reflects input from all key stakeholders by capturing all relevant versions of the forecasts.

Conduct forecasting across multiple dimensions-such as business unit, channel, customer, item, and site—for both high-level and granular insights.

Prepare for a variety of market conditions using hierarchical scenario planning and stochastic methods to account for uncertainty in your forecasts.

Adapt to different planning timeframes, from short to long term, with multi-horizon forecasting capabilities to ensure comprehensive and agile planning.

Automatically assess the impact of different forecasts versions on business outcomes with FVA analysis, helping you refine accuracy, reduce bias and drive continuous improvement.