Tradestack

Case study

MEC Commercial delivers 10x better job reports with multimodal AI.

MEC Commercial is a London-based commercial gas and heating contractor with a team of 20+. Engineers now capture rich daily job information through voice notes and photos on WhatsApp. AI operators compile, enrich, and file high-quality reports automatically.

Key features

  • Voice, photo, and text input via WhatsApp
  • AI-generated customised reports
  • Automatic filing to Google Drive
  • Zero training, zero behaviour change

Key benefits

  • Complete reports in 2.5 minutes on average
  • 10+ hours of admin saved every week
  • 10x improvement in report quality
  • Reports ready for clients, contractors, compliance
Our engineers used to dread doing reports. Now they just send a few photos and a voice note on WhatsApp and the report writes itself. No typing, no faffing about with forms. It's the best thing we've done in years.

John Thackray

Owner, MEC Commercial

The challenge

Engineers were spending up to 30 minutes on every report, typing up observations, uploading photos, and formatting emails after each job. Reports were only filed once engineers got back to a laptop, sometimes the next day. Quality and detail varied between engineers, and photos were scattered across phones and email threads.

The approach

Reporting built into WhatsApp, the tool they already use every day.

Rather than introducing a new app, Tradestack built directly into WhatsApp.

Image analysis

AI reads every photo in detail.

Environment, meter readings, damage, manufacturer details. Deep visual context extracted automatically from every image sent.

Voice transcription

One minute of voice, pages of context.

Fast, accurate transcription that captures the detail engineers naturally include when they talk through what they found on site.

Conversational AI

Intelligent back-and-forth.

The operator manages the conversation with smart turn-taking, asking the right follow-ups and confirming details before compiling the report.

Deep context layer

Cross-project memory.

The operator builds context over time across jobs, clients, and sites. Previous work and history informs every current conversation.

16:57
Tradestack
Today

Starting annual service on Vaillant ecoTEC at De Vere, Kensington. Unit 3, plant room B.

14:12

Logged. Is this the same unit from the January callout?

14:12

Yeah same one. Running fine now though.

14:13
0:42
14:28

Flue readings on the analyser. All within spec.

14:29

Got the readings. Anything else to note before I compile?

14:29

Filter cleaned, condensate trap cleared. All good for another year.

14:30

Report compiled and filed to Drive (De Vere > Annual Service). Office notified.

14:30
PDF
MEC-DeVere-Annual-Service.pdf
4 pages · 412 KB · PDF
14:30
Message

Branded PDF reports

Company-branded, client-ready.

Every report generated in MEC's own template. Professional formatting, embedded photos, and consistent quality across every single report.

Integrated distribution

Simpro, Drive, email. All connected.

Reports are filed to Google Drive, synced with Simpro, and emailed to the right people automatically. No manual steps or duplicate entry needed.

Intelligent filing

Organised for retrieval.

Reports filed by client, project, and date. Structured data that feeds into compliance records, job costing, and future reference lookups.

Team access

Every engineer sees every report.

Shared folders give the whole team access to past reports across sites and projects. Engineers can reference previous work before arriving on site.

Impact

30+

Reports per week

2.5 min

Avg time per report

10+ hrs

Admin saved weekly

10x

Report quality

Want results like these?

Book a demo and see how AI operators can work for your business.