Toronto auto repair chain uses AI voice agents to book customers and phone suppliers for parts quotes
ZhoopZhoop · Toronto, ON · Automotive · Roles: Front Desk, Operations
What was done
Hashlogics built ZhoopZhoop, a multi-branch Toronto auto repair business, inbound voice agents that answer calls and book appointments, plus outbound agents that call suppliers to ask about parts availability and price and return a comparison. A WhatsApp assistant handles bookings by chat, and staff see every call, transcript and quote on one dashboard.
Outcome
The system is in use across the branches, according to the vendor. The case study describes what was built but publishes no call volumes, savings or revenue figures.
Evidence: Vendor case study. Figures are as reported by the source and have not been independently audited by AgentsNorth.
Agents & tools used
Custom voice agents (Hashlogics)OpenAIDeepgramTwilioWhatsApp assistant
Prompt Reconstructed by AgentsNorth
The source didn't publish its prompt. This is our reconstruction of a starting prompt for a similar workflow, not the company's actual prompt.
You are calling an auto parts supplier on behalf of a repair shop. Introduce yourself as the shop's assistant, give the vehicle year, make, model and VIN, and ask for availability, price and delivery time for each part on the list. Ask about OEM vs aftermarket options if relevant. Repeat back what you heard, thank them, and return a table of supplier, part, price, availability and ETA. Don't place an order.
Source
Hashlogics · published 2026-08-06 · link checked 2026-10-16