Raise your demand sensing accuracy based on internal and external data with advanced algorithms. Optimize the short-term forecast by leveraging fresh sales data and probabilistic forecasting techniques. Capture the full value of demand sensing by adjusting inventory targets in a complementary manner.
Drive 15%–25% improvement in forecast accuracy with
2%–10% improvement in service levels.
Deliver relevant, actionable, and human-friendly insights across multiple consumption mediums and personas to create an insights-first culture that rewards data-driven decision-making
Speed-to-actionable insights reduced from days to seconds
45% increase in analytics adoption by use of generative and conversational AI
30% time savings with a single source of truth and Natural Language querying
~20% revenue impact with timely, data-driven decision-making
Gartner Market Guide for Augmented Analytics, 2022
Gartner Market Guide for Augmented Analytics Tools, 2021
Forrester’s The People-Oriented Text Analytics Platforms Landscape, Q1 2022
Forrester’s New Tech: AI-Enabled Consumer Intelligence Solutions, Q2 2020
Gartner Hype Cycle for Customer Experience Analytics, 2022
A Method and System of Generating a Predictive Model for Predicting Consumer Purchase Behavior
The method comprises: generating, by a processor, online data associated with topic-related searches performed by online users; ingesting, by the processor, the online data with pre-stored research data, wherein the pre-stored research data indicates history data about the topic; processing, by the processor, the online data with the pre-stored research data to determine search patterns of online users and user-behavior information of online users; and generating, by the processor, the predictive model by analyzing the search pattern of online users and user-behavior information of online users.