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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.
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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.
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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.
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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.
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