Our Portfolio

n8n Airtable FedEx API Encompass API

Appliance Repair Parts Ordering Pipeline

Regional appliance repair company — 15 technicians, 50+ parts orders per week

Problem

Office staff spent 20+ hours weekly manually looking up parts across supplier websites, placing orders by phone or email, and tracking shipments in spreadsheets. Technicians waited days for parts, delaying jobs and losing revenue.

Solution

Built an n8n workflow that connects to Encompass and other supplier APIs. Technicians request parts via a Softr form; the system auto-queries suppliers for price and availability, places orders, and tracks shipments via FedEx API—all logged in Airtable.

Timeline

4 weeks from kickoff to production, including API integrations, testing with live orders, and technician training.

Outcome

Weekly processing dropped from 20 hours to 4. Revenue per tech increased $700/week due to faster turnaround. Zero missed orders since launch.

80%Time Saved

$700/wkRevenue Increase Per Tech

0Missed Orders

Softr Supabase Airtable Make.com n8n

In-House CRM for a Family Appliance Repair Business

Our own 50-year-old appliance repair company — 15 technicians, office + field operations

Problem

Calls, jobs, parts, and invoicing lived in separate places — phone notes, paper tickets, supplier portals, and spreadsheets. Parts were entered twice (once by the tech, again by the office), tech notes were rushed at the end of the day, and invoicing dragged because nothing was tied together.

Solution

Built a single CRM around Softr (office + tech UI) and Supabase (relational core), with Airtable handling operational lookups. Make.com and n8n stitch the pieces together — pushing parts straight from the tech’s job into the ordering pipeline, syncing call logs, and pulling job data into invoicing. Techs dictate notes from the field instead of typing.

Timeline

About 6 months of iterative build, rolling out modules in production: call intake, job board and dispatch, parts pipeline, invoicing/billing, and tech-side voice notes.

Outcome

Manual office work is down roughly 50%. Double parts entry is gone, parts orders move faster end-to-end, invoicing and billing are easier to track against each job, and tech notes are richer because dictation replaced typing on a phone screen between calls.

~50%Less Manual Office Work

6 moIterative Build

0Double Parts Entry

ElevenLabs n8n Twilio OpenAI

AI Voice & SMS Customer Agent

Home services company — 500+ inbound calls/month, 2 office staff

Problem

Missed 30-40% of inbound calls during peak hours and after business hours. Each missed call was a potential $300-$800 job. Two office staff couldn't keep up, and hiring a third was cost-prohibitive.

Solution

Deployed an AI voice agent using ElevenLabs for natural-sounding phone conversations and an AI SMS agent via Twilio. Both handle inquiries, provide service information, and schedule appointments 24/7 through n8n orchestration.

Timeline

3 weeks for voice agent build, SMS integration, prompt engineering, and live testing with real customer interactions.

Outcome

Missed call rate dropped to under 5%. Booking rate increased 35%. Annual savings of $6,000+ compared to hiring additional staff. System handles after-hours calls that previously went to voicemail.

24/7Availability

35%More Bookings

$6K+Annual Savings

Softr Supabase n8n

Multi-Location Inventory System

Field service company — 10 service trucks, central warehouse, 400+ SKUs

Problem

No visibility into truck-level inventory. Technicians hoarded parts, warehouse counts were inaccurate, and emergency supplier runs cost $150+ each. Quarterly inventory audits took entire weekends.

Solution

Built a Softr app backed by Supabase that tracks inventory per truck and per warehouse. Technicians scan items in/out via mobile. n8n triggers automatic reorder alerts when stock hits minimums and connects to supplier API for one-click ordering.

Timeline

5 weeks including database design, mobile UI, barcode integration, supplier API connection, and rollout across all trucks.

Outcome

Emergency supplier runs dropped 85%. Inventory accuracy went from ~60% to 98%. Quarterly audits now take 2 hours instead of 2 days. Full accountability on every part movement.

98%Inventory Accuracy

85%Fewer Emergency Runs

2 hrsAudit Time (was 2 days)

Airtable n8n Zenbooker Make.com

Automated Lead & Booking Pipeline

Cleaning services company — 3 locations, 80+ bookings/week

Problem

Booking requests came through Zenbooker, phone, and web forms but were tracked in separate systems. Leads fell through the cracks, follow-ups were inconsistent, and there was no single view of the sales pipeline.

Solution

Unified all booking sources into Airtable via n8n and Make.com integrations. Automatic lead scoring, follow-up email sequences, and assignment rules ensure every inquiry gets a response. Dashboard provides real-time pipeline visibility.

Timeline

2 weeks for integration setup, workflow automation, email templates, and staff training across all three locations.

Outcome

Lead-to-booking conversion increased 25%. Zero missed follow-ups. Office staff reduced manual data entry by 10 hours per week. Full visibility into pipeline performance.

25%Higher Conversion

0Missed Follow-ups

10 hrsSaved Weekly