We’ve developed the system for mobile meter management, that’s used by 70 field employees to monitor 120,000 meters on the territory of 70,000 clients (wholesale distributors to another 20M consumers), consists of admin dashboard, android mobile app and an employee portal, whereas:
Mobile app – AI devise run algorithm (local, no server calls) to read meter readings by photo (electric & mechanical) and push the data to employee to verify (then billing), as well as e-sign (location, employee, time, picture) for validation and litigation purposes (if the reading is said to be incorrect by client/end-user of utility), as well as has various add-ons such as meter control (stamp, damage record, malfunction, etc), instructions, photo verification, routing (from one meter to anther), and few others.
Employee portal = office engineers control and validate the data from 70 field employees, whereas they can check: deviation from daily/monthly reading norm, broken/malfunctioning meters, check billing data, total usage, etc, whereas main feature is route optimization as the city keeps growing and adding new buildings/meters to it’s water supply pipeline more complex routes been calculated taking in consideration public transport schedules, walking distance, overall daily track, current KPI/speed, experience, general characteristics of employee (age, gender, etc) to optimize the execution.
Dashboard – all analytical data / KPIs on various employee metrics, benchmarked and represented against in salary/days/bonuses/etc
Here is the CS (old):
https://www.dropbox.com/s/wtqnkjgq9luvnmq/AOIS.pdf?dl=0 (more up to date)