Optimising people and time resources with NLP

The Finnish Food Authority is responsible for monitoring the safety of the food chain in Finland. To focus inspection resources effectively, they wanted to explore AI use cases to prioritise inspection locations. We built a predictive system prototype that condenses complex information into single metrics with high predictive value.

How did we help?

• Building a prototype of a predictive restaurant scoring system that allowed the Finnish Food Agency to prioritise their constrained inspection personnel and time resources to high-risk inspection targets (restaurants) with the highest predicted likelihood score for legal conformance problems. 

• The restaurant scoring algorithm used structured restaurant and inspection data combined with natural language processing (NLP) of unstructured data sources to determine the most likely targets to concentrate presently available agency resources.

About The Finnish Food Authority

The Finnish Food Authority operates under the Ministry of Agriculture and Forestry and works for the good of humans, animals and plants, supports the vitality of the agricultural sector, and develops and maintains information systems.