One example of how #AI can make it easier for your staff, customers or suppliers to interact with your software tools is to add a combined”Next Step / Tell me what you want to do” facility.
This uses natural language processing (NLP) combined with knowledge of who the user is (and what their role is, e.g. whether they are a member of staff, a customer, or a supplier, or a user with admin rights for example) and the context (which page or part of the app they are on, and what data they have stored in the system), to add two powerful new ways for the user to interact (with minimal training) with the app:
What’s my next step?
On any page, simply clicking the Go button asks the system “What’s my next step?”. The system then look intelligently at the user’s identity, role, data and location within the app and makes one or more suggestions as to what the user could usefully do next to make the most of the app.
Here are a couple of examples, taken from InQA’s WebPocketMoney application (referred to in this previous post).
WebPocketMoney 1.0 released!
(Posted by Patrick Lee on 6 May 2017 at a different location, but migrated here on 05 Feb 2018).
We are delighted to announce the release earlier this week of WebPocketMoney.com, our cloud based app that enables parents and their children to track and manage pocket money online.
A new, sophisticated online tool for parents and children to track and manage pocket money balances
This web app has been designed to help parents and children manage pocket money in a user-friendly way that encourages saving. It uses notional accounts rather than physical accounts (which are often difficult to create for children) and this has the advantage that you can offer your children much higher interest rates (e.g. 5% or 10% per month) than are commonly available in the real world, in order to encourage them to save.