Improve public health by optimizing the order of inspections to find more violations sooner and save money by operating efficiently.
Most cities have fewer than a dozen inspectors charged with inspecting thousands of restaurants each year. This list is prioritized once annually to make sure that each location is inspected according to the law.
But when it comes to food safety, speed matters. Sending inspectors to restaurants that are more likely to have a violation can protect diners from illnesses like E. coli and Salmonella.
FIVAR is a smart solution that uses available open data to prioritize work order task lists, so inspectors go to the highest-risk locations first.
With FIVAR you can:
- Keep pace with demand, without growing your budget
- Create prioritized lists for food inspectors
- Identify inspectors who need additional training
With a FIVAR subscription, you’ll get data science consultation to build a predictive algorithm using local data and access to our web-based application that generates prioritized lists and dashboards of inspector performance. In addition, you’ll receive ongoing support and data science consultation as needed to help you continuously improve efficiency.
Read how we make public-sector inspections more effective and efficient in the Atlantic or learn more about Open Data Nation in GovTech Magazine.
Growing populations and stagnant budgets, put an ever-increasing strain on the capacity of cities to complete mandated public health inspections of restaurants.
Open Data Nation's plug-and-play tool, FIVAR, makes the process of completing inspections more efficient and helps you complete inspections on time. By bringing together open data (restaurant inspections, Yelp star ratings, 311 requests, etc.) and data science, we optimize inspections and reveal an estimated $4 million in cost savings.