AI-SUPPORTED ROUTE OPTIMIZATION BASED ON THE IOT SOLUTION
The general objectives of our experiment are:
- To ensure safe, cost-efficient, and reliable worldwide connectivity of the existing product of the SME, i.e.., the smart scale for measuring gas in gas cylinders.
- To support the optimization the delivery routes of gas cylinders based on the data from the smart scales for measuring gas in gas cylinders and other relevant data.
The technical objectives arising from the general objectives are:
- Integration of Narrowband Internet of Things technology into the existing product of the SME (above mentioned smart scale for measuring gas in gas cylinders).
- Development of the prototype AI-based software for optimizing delivery routes for gas distribution based on the data collected from the upgraded NB-IoT-based smart scales, customer demands, and data collected from previous deliveries.
The distribution of gas cylinders mainly relies on call centres, which means that a customer informs their gas distributor when they run out of gas. After that, a gas distributor takes care of delivering a new gas cylinder within a predefined time frame. However, this solution is rather inconvenient since gas distributors cannot plan their delivery routes, and they often make deliveries to the same places within the same day. As a result, distributors are spending too much of their resources (time, money, personnel).
Information source: dihworld.eu