AI transformation empowers leading brand.
Coast Smoke AlarmsBusiness transformation with AI-powered automatic scheduling and route optimisation, saving hundreds of hours per month through intelligent job allocation and technician run sheet generation.
Key Results
Time Saved
Hundreds of hours/month
Scheduling
80% Automated
Routes
AI-Optimised
Client
Coast Smoke Alarms
Project Duration
6 weeks + ongoing
Team Size
1 team members
The Challenge
Coast Smoke Alarms was spending significant administrative time manually scheduling work orders across multiple agencies, postcodes, and key access requirements. Planning optimal technician routes each day was a complex, time-consuming task that required considering travel time, service duration, key pickups, and geographic clustering - all while meeting compliance deadlines within 30-day windows.
Our Solution
We developed an AI-powered scheduling intelligence system that automates up to 80% of job scheduling, dramatically reducing administrative overhead and saving hundreds of hours per month. The system combines a smart job scheduling engine with a running order optimisation engine to transform how work is allocated and executed.
Implementation Approach
The Smart Job Scheduling Engine uses rule-driven algorithms to automatically schedule unscheduled work orders by intelligently grouping jobs by agency, clustering by geographic proximity (postcode), respecting due dates and 30-day compliance windows, and coordinating key access requirements. The Running Order Engine then creates optimised daily technician runs by considering technician starting location, travel time between jobs, service time at each property, and key pickup logistics. Both engines are exposed via API, allowing scheduling to be triggered on-demand and continuously refined through ongoing support.
Technologies Used
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