Time series forecasting that's game-changing
Producing accurate forecasts with tabular, time series data isn’t easy, especially with spreadsheets and traditional AI methods. Ikigai changes the game with aiCast, a Large Graphical Model that delivers 20%+ more accurate forecasts - even with limited or dynamically changing data.
AI-powered results that improve business adoption
Forecast, sense, collaborate, and optimize for better business performance
Forecasting with limited data
Traditional forecasting methods rely on months, if not years, of historical data for best accuracy. aiCast delivers accurate forecasts with as little as 2 months of data, making it possible to effectively plan for new products, identify new risks, or any number of dynamic real-world business scenarios.
Demand sensing
Dynamically respond to real-time changes in demand patterns with aiCast demand sensing. Analyze external data such as weather, market trends, and social influencers to more accurately predict demand fluctuations and adjust supply chain and inventory management.
Actionable explainability
Build trust in AI-driven forecasts with clear, interpretable results. Empower users to assess the reliability of predictions, identify and correct potential anomalies, and make informed decisions.
Forecast confidence
Compare predicted forecasts with historical data to improve forecast confidence. Integrate eXpert-in-the-loop to adjust for exceptions, such as promotions, supply chain disruptions, or one-time events that might skew model results.
Granular predictions
Being able to predict at any level of detail is critical. Whether you need to visualize your data by store locations, group your products by categories, or forecast at the SKU level, aiCast has you covered.
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asked questions
Leveraging its patented Large Graphical Model technology, Ikigai can operate on as little as 2-3 weeks worth of data and offers confidence intervals, ensuring the highest accuracy in the market.
Ikigai’s solution addresses dynamic data and high variability. It works on as little as 2-3 weeks worth of data and offers confidence intervals, ensuring the highest accuracy in the market. In addition, it implements cutting-edge ML techniques, such as Reinforcement Learning, to incorporate learnings from your decisions into its predictions.
Explainability provides detailed insights into quantifying what is driving a prediction and why. It ensures transparency, helping users understand the rationale behind each forecast, thus building trust in the AI-generated predictions.
aiCast utilizes a proprietary time series prediction Large Graphical Model to forecast demand with industry-leading accuracy. Industry benchmarks are available upon request.