Case Study: Mainely Ticks maximizes jobs and protects assets with Tomorrow.io's hyperlocal weather forecasting

A Tomorrow.io Case Study

Preview of the Mainely Ticks Case Study

Make the Right Call in Every Weather Condition Know When to Send Out Crews and When to Do Appraisals Instead

Mainely Ticks, a seasonal pest-management company focused on tick and mosquito control, faced weather-driven operational challenges from April to October: deciding whether to send nine service vehicles and crews for their typical 40–50 daily treatments, delay activity for precipitation, or perform appraisals when label restrictions (no applications in sustained winds above 10 mph or imminent rain) applied. To address this, they adopted Tomorrow.io’s hyperlocal weather dashboard for minute-by-minute, street-by-street forecasts and localized precipitation and wind data.

Tomorrow.io’s dashboard, with alarms for developing storms and site-specific wind/precipitation insights, lets Mainely Ticks optimize fleet routes, provide customers accurate appointment windows the night before, and make confident go/no-go decisions. As a result, Mainely Ticks has been able to maximize the number of jobs and revenue from their 40–50 daily treatments, reduce weather-related retreatment costs, and better protect assets and crew safety using Tomorrow.io’s forecasting.


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Mainely Ticks

Bob Maurais

Founder


Tomorrow.io

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