Natural Language Processing Engine

Intent Classification

Inspora can react to a vast variety of different user inputs. Pre-trained using thousands of conversations, the chat engine is able to distinguish between product and outfit requests (e.g. find me a summer dress for under 50 dollars), feedback (e.g. I don't like long dresses) and customer care requests (e.g. where is my parcel?).

Entity Extraction

Each intent defines a set of pre-defined entities which can be extracted as structured information. This information can then be used to find a specific product, track a specific delivery or update the customer's style profile.

Human Escalation

In case the chat engine is unable to respond or the customer requests a human to talk to, we can escalate the conversation to a human assistant or your in-house support team.

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