GovernmentCase Study

Swindon Borough Council: AI Fly-Tipping System Cuts Cleanup Time 64% While Saving £28k Annually

Swindon Borough Council: AI Fly-Tipping System Cuts Cleanup Time 64% While Saving £28k Annually

·8 min read
Swindon Borough CouncilLocal Government200,000 residents · £400M+ annual budget

Key People & Companies

Swindon Borough Council

Report-it fly tipping solution

Swindon Borough Council · Internal

StreetSmart

Swindon Borough Council · Internal

AWS

cloud platform and AI tool provider for fly tipping image recognition and prioritization

Sarah Peña

Head of Emerging Technology and Business Improvement at Swindon Borough Council

Dave

StreetSmart Team Leader at Swindon Borough Council

Robert Jandy

Cabinet Member for Organisational Excellence at Swindon Borough Council

Methods

Methods

partner for fly tipping PoC development and data science

+ 11 more entities in the full study

Key Results

  • Average cleanup time dropped from 11 days to 4 days, a 64% reduction, as crews arrived prepared with the right equipment for each site.
  • The system saved over £28,000 annually in fuel and staffing costs while operating at just £150 per month, according to Michael Gove, Secretary of State for Levelling Up, who told Parliament the council 'is also saving around £28,000 a year in fuel and staffing costs.'
  • Efficiency increased 83% despite the 54% surge in reported cases during COVID lockdown, as AI-driven prioritization eliminated manual triage bottlenecks.
  • + 4 more results inside

AWS was really engaging, easy and open to work with, and seemed to really care about the people of Swindon and the potential social good this project could do. The changes we have made with AWS have made it much easier for citizens to report, to be able to be updated on cases and we now have faster turnaround times.

Sarah Peña, Emerging Technologies Lead at Swindon Borough Council

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