Use Cases for Home Services

Caller dials, texts, or messages anytime.

AI greets, identifies emergency vs. scheduled.

Job qualified (type, urgency, address).

Technician availability checked, slot offered.

Customer confirms; booking created in dispatch system.

Confirmation SMS/email sent.

Reminder workflow triggered.

Daily job board loaded with locations and time windows.

AI optimizes routes considering skills, urgency, traffic, and equipment.

Technicians receive optimized schedules on mobile.

Real-time re-optimization when jobs run long or new emergencies arrive.

Customers receive accurate ETAs automatically.

Dispatcher manages exceptions only.

Daily efficiency metrics tracked.

Customer database segmented by service type and last visit.

AI predicts next service window per customer.

Personalized reminder sent via SMS/email.

Customer books one-tap or replies to chat.

Booking completed in chatbot.

Post-service review request sent automatically.

Negative reviews flagged for service recovery before going public.

Customer requests estimate via call, web, or chat.

AI gathers job details, photos, and access info.

Standard jobs quoted instantly using pricing rules.

Custom jobs scheduled for in-home estimate with full prep.

Customer receives quote, can accept one-tap.

Accepted quote becomes scheduled job.

Follow-up sequence for unaccepted quotes.

Job data (revenue, time, callbacks, reviews) aggregated per tech.

AI scores performance across dimensions.

Coaching opportunities surfaced (upsell, callbacks, time variance).

Manager uses insights in 1:1s.

Top performer patterns identified for training.

Performance trends tracked over time.

Membership program rules defined (frequency, services, billing).

Service appointments auto-scheduled per member.

Members reminded and confirmed.

Recurring billing processed automatically.

Churn risk identified before renewal.

Account manager intervenes on at-risk members.

Program performance reported.