AIDE assembles five fully-automated AI modules for data points
These modules are fully scaled for millions of unstructured and structured data points created daily.
An automated AI/ML pipeline to derive meaningful business indicators using the click activity across customer journeys. Sensorize
A suite of supervised machine learning algorithms to identify drivers of key customer journey outcomes (drop-off, clear cart, etc.) and measure relative impact at a page & click level on a customer’s experience. Locate
NLP module to perform sentiment analysis and entity extraction on the voice of customer data such as chat; feedback etc. to identify the root cause of the friction and generate actionable insights. Reveal
Deviations from expected behaviour across digital journeys get captured by applying pattern recognition algorithms to the key digital indicators . Detect
Quantify the insights with respect to loss in revenue or incremental overhead costs to prioritise hypotheses for improving website design. Prioritise
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