TechnologyComplex automationSeveral jobs working together: multi-stage pipelines with state, branching on rules or AI decisions, approvals or escalations, 4+ systems, AI agents that act, or reconciliation across sources. Usually rolled out in stages.

Device repairs from drop-off to pickup with zero phone calls

For: Three-branch phone and computer repair chain

Typical impact

'Is it ready?' calls down 85%

A three-branch repair chain answered the same question all day: is my device ready? We built an intake-to-pickup pipeline — photo job cards, WhatsApp quote approvals, stage-by-stage updates and payment links — cutting status calls by 85%.

Typical results

2 hrs

Quote approval time

88%

Devices picked up within 24h

100%

Repairs approved in writing

Figures reflect typical results for this kind of automation.

The challenge

Across three branches, technicians fielded roughly 60 'is it ready?' calls a day — each one an interruption mid-repair. Quotes were approved verbally over the phone, which meant disputes at pickup, and finished devices sat on shelves for days because nobody told the customer. Front-desk staff spent more time on the phone than on intake.

Before and after

Before With the automation

Status calls per day

−85%
60 calls
9 calls

Quote approval wait

−92%
26 hours
2 hours

Picked up within 24 hours

+96%
45%
88%

The automation

We rebuilt intake around a digital job card: device photos, fault description and serial captured at drop-off, with a diagnostic quote generated from the price book on the spot. Customers approve the repair on WhatsApp with one tap, get an automatic update at every stage — diagnosed, parts ordered, in repair, ready — and receive a pickup notification with a payment link the moment the technician closes the job.

How it works

  1. 01

    Job card at drop-off

    Photos, fault description and serial number captured in a structured job card — with an instant diagnostic quote from the price book.

  2. 02

    Approval on WhatsApp

    The customer approves the quote with one tap; the repair queue only ever contains authorized work.

  3. 03

    Updates at every stage

    Diagnosed, parts ordered, in repair, ready — each stage change fires an automatic WhatsApp update.

  4. 04

    Pickup with payment link

    Closing the job sends a pickup notification with a payment link, so collection takes a minute at the counter.

  5. 05

    Aging repairs escalate

    Devices waiting too long for approval or pickup surface on a branch dashboard before they become shelf furniture.

Starts from

  • Device photos at drop-off
  • Fault description & job card

Delivers

  • WhatsApp quote approvals
  • Stage-by-stage status updates
  • Pickup alert with payment link

The impact

Status calls dropped 85% — from about 60 a day to nine across all branches. Every repair is now approved in writing, ending pickup disputes; approval waits fell from 26 hours to two, and 88% of devices are collected within a day of being ready, up from 45%.

Questions about this automation

How do customers approve a repair quote?

At drop-off the job card captures photos, the fault and the serial number, and a diagnostic quote is generated from the shop's price book. The quote is sent on WhatsApp with approve and decline buttons. The tap is logged on the job card with a timestamp, so every repair has written approval before work begins.

Which updates does the customer receive along the way?

Each stage change on the job card sends an automatic WhatsApp message: diagnosed, parts ordered, in repair and ready for pickup. The final message includes a payment link, so the customer can pay before arriving. If the repair needs a higher quote after diagnosis, a new approval request goes out first.

What happens to devices that wait too long?

Repairs waiting past a set number of hours for approval, and devices left uncollected after they are ready, appear on a branch dashboard and trigger reminder messages to the customer. Staff review the aging list each morning. It is a multi-step build, usually rolled out in stages, starting with one branch.

Technology

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