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KTN wants to produce an automated self-service capability for our website that allows companies to access our expertise without necessarily talking to KTN personnel. We are looking to build this automated expertise through:
Building a graph database of all our staff, events, offerings and companies in our CRM, etc [need: graph database]
Building a machine-learning model based on the database [need: Machine learning model]
We are looking to serve companies through:
Automatically understanding their requests in natural language [need: Natural Language Processing (NLP)],
Automatically guiding them through a replica of process that our experts run now in person, successively recommending the appropriate resources based on the companies' interaction with the system [need: ML model based on graph database, interacting with NLP].
This all will need to be integrated with our website, internal processes and existing data architecture [need: website, Gmail, CRM, etc integration], which is the primary form of interaction the companies have with us.
Success factors
Successful delivery will be defined as:
Highly desirable UX and UI.
Efficient and effective rank and recommendations for online enquiries.
Automated data retrieval and cleansing.
Efficient and effective interrogation and explainability.
Handover and total control - updating data architecture/integration.
No supplier information available.