Enterprises rely on accurate forecasting and visibility into future trends to keep pace with changing market dynamics and customer preferences. The insights that come from this analysis are crucial to strategic business decision-making. Effective analysis requires the integration of diverse data sets and the latest analytical tools such as machine learning.
IntelPredict is a solution-agnostic tool that quickly forecasts trends in dynamic data sets, automates forecasting processes, and provides proactive monitoring of changing customer needs. It also provides the flexibility to accommodate a variety of real-world scenarios to improve demand forecasting capacity, while dramatically reducing manual intervention. A combination of a ML-based ensemble framework and time-series models deliver highly accurate results while consistently improving over time.
IntelPredict drives stronger decision-making with a continuously learning tool that delivers highly accurate forecasts and insights into the changing needs and preferences of the marketplace.
IntelPredict integrates insights and forecasting into planning across the business – from product demand and inventory planning to personnel management and other operating fields.
Key capabilities include:
IntelPredict provides multiple suites of ML models for training and validation. This enables consistent learning and sustained improvement in the accuracy of forecasts over time.
IntelPredict enables auto-detection of univariate and multivariate frameworks and hyperparameter optimization for specific business needs. It leverages data exploration and visualization functionality to deliver highly accurate forecasts and alerts users to forecast numbers, ensuring the right information at the right time.
Automated multi-series forecasting capabilities are powered by advanced ML algorithms to make forecasts stronger over time.
IntelPredict allows users to drag and drop the dataset on its interface to initiate the analysis. The tool also provides easy-to-read reports that can easily be exported to share forecast numbers.
Sales forecasting enables organizations to plan for both their workforce requirements and income expectations. IntelPredicts’s time-series forecasting engine establishes benchmarks and quantifies the incremental implications of new projects, while also allocating resources in response to anticipated demand, and predicting future budget requirements.
Call centers need to accurately forecast the number of agents required to handle contact volumes, but this is difficult as trends shift frequently. The forecasted values generated by the IntelPredict assist businesses in predicting expected peak call volumes, allowing an organization to effectively plan and deploy its staff accordingly.
IntelPredict’s time-series forecasting engine also enables businesses to anticipate future sales and its impact on inventory. The solution helps businesses respond to customer demand by aligning forecasts with storage constraints and providing maximum flexibility for uncommon situations.
IntelPredict forecasts future stock values for targeted companies by tracking the movement of selected data points such as the security price over a set period. Data points are also captured at regular intervals to anticipate future fluctuations.