Guest blog: Digital 3.0 – The future of AI in local government

When it comes to the next generation of digital solutions for local government, providing predictive, proactive and personalised information will be key. You could call this the ‘three Ps’ for short or put simply, Digital 3.0. The outcome? A better customer experience and a reduced workload on the Council. But what do we mean by predictive, proactive and personalised?

After installing the iOS 12 beta this summer, I saw a notification alerting me that I should call into a conference call in 12 minutes. Whilst this in itself was not unusual, the fact that the call wasn’t in my calendar was. Puzzled, I skimmed through my emails and could see that there was one where I had been asked to join a call but I hadn’t been sent a meeting invite. Using AI to scan my emails, my phone had predicted that I might want to join this call. There was more to come. When I clicked the aforementioned notification, it dialled the number and inputted the obligatory eight-digit pin and # symbol too. My mind was blown.

It got me thinking. How could we use a similar, intelligent (predictive, proactive and personalised) approach to improve the service that councils provide?

Councils spend a massive amount of time dealing with enquiries about waste management, and, in particular, missed bins. Our council customers have a digital missed bin service that is fully integrated into their waste management system and in-cab lorry technologies. The integration is such that, in response to a customer enquiry chasing a collection, it will automatically communicate back to them that there is no need to report anything further as the `the lorry is on the way’ or `your bins are collected on Tuesdays not Mondays’. This eliminates any further action on the part of the customer. In a similar way that a customer reports a missed bin or a non-collection, the council is able to respond that the customer is late in reporting this and would recommend a recycling centre for their waste disposal or, where relevant, notify the customer that non-collection was due to contaminated waste.

These are all proactive responses designed to both prevent unnecessary jobs being created and provide the customer with personalised and informative messaging. The missing element of the three Ps, is the predictive one.

To be predictive – and to accurately define what a customer might need information on before they ask - one needs to leverage data held as well as, crucially, insights about the past activities of a citizen. We would propose that a Digital 3.0 service, in this use case, should have access to a customer’s waste reporting history, understand any messaging previously provided, understand whether the postcode has its bins collected later than usual and understand the geolocation of any bin lorry at any given time.

Using this data as a whole, an enhanced service would remind customers who regularly report missed bins, or who put out their bins late, that collection is the following day, guide customers who have previously reported bins or have contaminated waste through a chatbot conversation/website to ensure re-education of the waste system and, finally, personalise the website or citizen account with specific details to that household which show their collection days, location of bin lorry in live time and location of waste recycling centres near to them.

This is now a predictive, proactive and personalised service which would provide something like this on a council’s website:

Managing missed bin reports is costly from both an administrative and operational perspective and these predictive measures ensure that, not only are efficiencies generated, but the citizen is more engaged with, and, ultimately, has a better UX.

This is just one example of how we can use Digital 3.0 to enhance council services to provide efficiencies as well as a better customer experience.

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