Customer case study · Appliance repairs · Melbourne

How Melbourne Repairs Turns Enquiries into Booked Jobs with Nexwin

Melbourne Repairs has used Nexwin for the past five months to answer common questions, collect appliance and fault details, check whether an address is in its service area, offer suitable times and create calendar bookings.

Prepared from customer-supplied operating information · Reviewed by Nithya Raja

melbournerepairs.com.au
Melbourne Repairs website showing its Powered by Nexwin AI chatbot

Melbourne Repairs' live website with the Powered by Nexwin chatbot. Screenshot supplied with permission.

The Monthly Workflow

About 60

customer calls

About 40

bookings created

4-5

reschedule requests

3-5

outside-area enquiries

These are approximate monthly figures supplied by Melbourne Repairs and have not been independently audited by Nexwin. A booking count is not a claim about completed repairs or revenue.

From the First Question to the Calendar

  1. Answer the enquiry: provides approved answers to routine questions, including diagnostic-fee information.
  2. Collect useful job details: asks for the appliance, model, reported problem, address and contact information.
  3. Check the service area: compares the address with Melbourne Repairs' configured coverage area.
  4. Choose the next step: outside-area enquiries receive the approved staff-follow-up message; eligible callers are offered suitable calendar times.
  5. Create the job: records the chosen time with the customer address, appliance and reported repair details.
  6. Confirm it: sends a confirmation email using Melbourne Repairs' branding.

Nexwin collects the customer's description; it does not diagnose the appliance fault or promise a repair outcome. Melbourne Repairs remains responsible for technical assessment, attendance and service delivery.

Returning Callers and Rescheduling

When the calling number matches the number attached to an existing booking, the workflow can retrieve the relevant customer and job context. That lets Nexwin use the customer's name and avoids asking for information already recorded before offering suitable replacement times.

Under Melbourne Repairs' chosen process, a call from the phone number attached to the booking can proceed without another verification question. If the customer calls from a different number, the workflow asks for the customer name and original booking date and time before changing the appointment. Each Nexwin customer remains responsible for choosing the verification rules appropriate to its business and customers.

“We've been using Nexwin AI for the past five months now and honestly it feels like I've got my own phone receptionist. Does exactly what a real person would do - answers general questions, explains the diagnostic fees, books in the jobs.”

— Owner, Melbourne Repairs

What This Case Study Shows

The Melbourne Repairs workflow shows how a trade business can join several repeatable steps instead of using an answering service only to take messages. The useful outcome is a structured calendar entry containing the address and job context the technician needs for review.

Results depend on the business's call volume, service-area rules, availability, customer responses and connected systems. See the complete AI receptionist for tradies workflow or review all Nexwin customer case studies.

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