GreenScape Pro Scaled Seasonal Demand Without Hiring Extra Staff

The Challenge

GreenScape Pro, a landscaping and lawn care company in Minneapolis, faced extreme seasonality. Spring brought a flood of leads that overwhelmed their small office.

"From March to May, we'd get 3x the normal call volume," owner James Chen explained. "We'd hire temp help, but training them took time we didn't have. By the time they were useful, the rush was over."

The Situation Before

• Off-season leads: 20/month
• Peak season leads: 60+/month
• Peak season capture rate: ~55%
• Seasonal staff cost: $4,500/month
• Training time lost: 40+ hours

The Solution

We deployed a landscaping AI agent with seasonal flexibility:

1. Service Bundling - Offers spring cleanup + mowing contracts together 2. Property Assessment - Asks about lot size, current landscaping, maintenance history 3. Recurring Setup - Books weekly/biweekly mowing schedules 4. Design Consultations - Captures landscape design project leads separately

The Results: Spring Season

Metric

Before

After

Change

Peak month leads	60	95	+58%
Lead capture rate	55%	91%	+65%
Recurring signups	15/month	38/month	+153%
Response time	3 hours	15 seconds	-99.9%
Seasonal staff needed	1 FTE	0	-100%

The Revenue Impact

• Additional peak season leads: 35/month × 3 months = 105
• Close rate: 60%
• Average service value: $280 (first service)
• Recurring annual value: $1,800/customer
• First-year impact: $113,400 in new recurring revenue

Agent cost: $249/month.

ROI: 38x

What James Says Now

"Spring used to be chaos. Now the AI handles the surge, and I focus on delivering great service. We captured 40% more recurring customers than last year—without hiring anyone."