Tag
Case Study
Lato AI resources tagged Case Study.
LATO AI Automates Customer Communication to Help CSide Sports Academy and BAT 24 Nation Grow
Every question, booking and billing issue across nine locations funnelled to one man’s cell phone. LATO AI built voice, text and email automation that triages the routine and routes the rest.
LATO AI Software Innovations Expedite Inspections & Repair of Parking Lots for The Pavement Group
The Pavement Group cut price estimate turnaround from weeks to about five minutes. LATO AI added AI pavement inspection to its PropertyTech platform, scoring surfaces automatically from geotagged photos.
Maronda Homes Leverages Power of AI to Automate, Accelerate Home Warranty Claims Process
Maronda Homes launched an AI-powered system built by LATO AI that lets homeowners open warranty claims around the clock, with a voice assistant that matches callers to their job record and builds the support ticket automatically.
LATO AI Tailors AI-Powered Appointment Booking System for Custom Clothing Designer David Alan
David Alan Clothing partnered with LATO AI on Emma, an AI assistant that schedules fittings and personalises client follow-up. In the first month after launch, 55% of clients who engaged with Emma booked an appointment.
LATO AI Transforms Operations, Facilitates Expansion for Leading Stone Fabricator
Armina Stone expanded from Pittsburgh into south Florida and needed to track a growing workload across teams 1,200 miles apart. LATO AI delivered Hotlist, cutting job status updates by 98% and eliminating manual data entry.
Bringing AI Innovations to the Job Site, Shly and LATO AI Boost Client Satisfaction
Shly Deck and Fence, a family-owned contractor serving Pittsburgh and Columbus, replaced paper-based project management with an AI-driven client portal, cutting administrative workload by 90% and scheduling conflicts by 95%.
LATO AI Drives the Future of Trucking Industry with Revolutionary AI Solutions
Maybach Group, Chicago’s number one trucking company, replaced paper-based recruitment, driver operations and fleet management with AI. Recruitment costs fell 85% and fuel discrepancies 95%.