Challenges in Geolocation for Logistics Delivery: A Case Study on the Accuracy in Bulgaria of Google Maps Directions API

The article deals with the problem of geolocation concerning the logistics that have changed the way in which deliveries are made. The core idea is to reveal the current challenges in the field of delivery logistics. The present study is focused on the analysis of the accuracy of the Google Maps Directions API in Bulgaria and the challenges faced by logistics operators due to the insufficient accuracy of geolocation data. As the logistics infrastructure plays a key role in the day-to-day operations of companies, the accuracy of geolocation data plays a crucial role in the efficient functioning of deliveries. By analyzing real cases and data, system performance is investigated and challenges arising in real delivery scenarios are identified. The results of the study highlight the importance of geolocation data accuracy to improve operational efficiency and optimize logistics processes in Bulgaria. To cope with such challenges, a generalized approach to improve the accuracy and efficiency of geolocation delivery systems is proposed. This approach is composed of 4 modules where the machine learning module is used to improve the accuracy. The proposed approach is preliminarily tested and the results demonstrate the applicability of the proposed approach.