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.