Most dispatchers optimize for one variable: proximity. Send the closest available technician to the next job. It is logical, it reduces drive time, and it is the default behavior of every legacy dispatch system on the market. It is also leaving a significant amount of margin on the table. AI-powered dispatch optimizes across a richer set of variables - and the margin impact is measurable.
Proximity routing versus profit-first routing
Proximity routing minimizes drive time. Profit-first routing asks a different question: which technician, sent to this specific job, will produce the best financial outcome for the business? That question requires data that proximity routing ignores - the technician's close rate on upsells for this job type, their average ticket on similar jobs, their familiarity with the customer or the equipment brand, and their current utilization level relative to their day's capacity.
A technician who drives eight extra minutes to a job but closes the membership upsell and identifies a capacitor replacement that a less-skilled technician would have missed produces $280 more revenue from that visit. Multiplied across 12 visits per day across a team of eight technicians, the compounding effect of consistently better assignment is significant.
What AI dispatch actually evaluates
An AI dispatch system evaluates job type, required certifications, drive time, technician skill profile, historical upsell performance by job category, customer history (including whether the customer has had a negative experience with a specific technician), and current schedule density. It weights these variables based on your business's priorities - if margin is the primary objective, upsell performance gets higher weight. If customer retention is the priority, customer history compatibility gets higher weight.
The system also handles real-time re-optimization. When a job runs long, when a technician calls out sick, or when an emergency job gets inserted into the schedule, AI dispatch re-sequences the entire day in seconds rather than requiring a dispatcher to manually rebuild the board.
The margin impact in practice
Contractors who have moved from proximity-only dispatch to AI-assisted profit-first routing report net margin improvements of 3 to 5 percentage points within the first 90 days. On a $1.5M revenue base, 4 points of margin improvement is $60,000 per year. The improvement comes from three sources: higher upsell conversion from better technician-job matching, reduced drive time that adds 0.4 to 0.8 billable hours per technician per day, and reduced callbacks from better skill-to-job matching. All three are measurable, and all three improve simultaneously when dispatch is genuinely optimized.
See how Command handles this for your business.
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