Dispatch by paper maps and best guesses.
- Engineers assigned from memory while on the call
- Quality depended entirely on individual knowledge
- New dispatchers took months to become effective
- The process couldn't scale as the team grew
AI Decision Support Tool
Intelligent Scheduling Assistant
An interactive decision-support tool that replaced paper maps and best-guess dispatch with data-driven engineer scheduling, minimising travel time through intelligent routing following specific business rules.
Key Results
Zero
Reliance on paper maps & guesswork
Optimised
Travel time via corridor logic
Instant
Onboarding for new dispatchers
Scales
Without added complexity as team grows
Data-driven dispatch in real time.
- Live engineer availability and location from BigChange
- Recommends the most efficient engineer per job
- Factors in proximity, return-home corridors and capacity
- Everything plotted on an interactive map
How it works.
Live Data Ingestion from BigChange
Pulls engineer rosters, home addresses, current bookings, and availability gaps directly from the BigChange API. Schedule data is fetched on demand with a manual refresh option, ensuring dispatchers always work with current information.
Proximity & Corridor Recommendation Engine
Ranks engineers by static distance to the job, identifies return-to-home corridors to minimise wasted travel, and filters by capacity constraints such as 4-hour or 8-hour slot availability. Engineers outside the corridor are still shown but visually flagged.
Map-Based Dispatcher Dashboard
A web interface designed for rapid decision-making on a live call. Dispatchers enter a job postcode and duration, receive a ranked list of engineers with drive times, and see everything plotted on an interactive map — including home locations, assigned jobs, and corridor paths.
