How we accelerated user-onboarding by installing a Large Action Model to control a complex user-interface
HB
by Harry Berg
Background on the company
Serves a software product to global retail and manufacturing companies to allow them to optimise their supply-chain
< 10 employees
Has a complex user interface that has a steep learning curve and limits customers from reaching the value-moment quickly
Knows how AI systems can help somehow, but not sure where to begin
What we did: Overview
Performed an AI Opportunity Audit by interviewing key members of the team
Produced an AI adoption roadmap
Identified a core problem that made it hard for customers to learn to use the user interface to quickly gain value from the product without extensive onboarding training
Implemented a prompt-box user input that allowed users to simply ask for what they want in natural language, drastically reducing the onboarding friction and time-to-value
All of this was completed within a 3-week duration, taking no more than 8 hours of time from the team
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