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Erphub Case Study | Sound View Window & Door Zero-Touch Jobber Quotes
Case Study · Zero-Touch Quote Pipeline
Sound View Window & Door

Vendor PDFs Become Jobber Quotes Without Anyone Typing Them

A Gmail-triggered pipeline that parses each vendor PDF, matches line items against the product catalogue, and creates the complete Jobber quote automatically.

ClientSound View Window & Door
SectorWindow and door replacement, Seattle
PlatformGmail, Zapier, Python, Jobber API

Executive summary

Every vendor PDF quote took 15 to 30 minutes of manual transcription into Jobber. Pricing, quantities, and product names were re-keyed by hand across inconsistent vendor templates, and the error rate followed.

We built an automated pipeline that monitors the Gmail inbox through Zapier, downloads and parses each vendor PDF with a custom Python webhook, extracts line items by fuzzy matching against Jobber's product catalogue, and creates the complete quote instantly through the Jobber API. Unmatched items are flagged for review without blocking quote creation.

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The challenge

A Manual Bottleneck per Quote

Each vendor PDF quote required 15 to 30 minutes of manual transcription into Jobber, on every single quote.

Re-keying pricing, quantities, and product names across different vendor templates produced a high error rate, and those errors carried through to the customer.

None of it scaled. As vendor volume grew, the manual bottleneck became a daily operational risk rather than an inconvenience.

The solution

An Automated Quote Pipeline

We automated the whole path from vendor email to finished Jobber quote, and designed the matching step so an unfamiliar line item never stops the quote.

  1. 01

    Gmail Monitoring

    Zapier monitors the Gmail inbox, and vendor emails carrying PDFs trigger the pipeline automatically.

  2. 02

    Custom PDF Parser

    A custom Python webhook downloads and parses each PDF, extracting line items regardless of the vendor's template.

  3. 03

    Fuzzy Catalogue Matching

    Extracted line items are matched against Jobber's product catalogue by fuzzy matching, so naming differences between vendors resolve automatically.

  4. 04

    Instant Jobber Creation

    The Jobber API creates the complete quote instantly, and unmatched items are flagged for review without blocking creation.

System architecture

How a Vendor PDF Becomes a Quote

Four stages carry a vendor email to a finished quote with no keystrokes in between, and each parsed quote leaves a full audit trail behind it.

Gmail InboxVendor email with PDF attachment arrivesZapier TriggerPipeline fires automatically on matching emailPython ParserPDF downloaded, line items extracted and matchedJobber Quote CreatedComplete quote via API, exceptions flagged for review
Dashed = a vendor PDF moving through to a finished quoteHover a stage to trace the flow

Near-Instant Instead of Half an Hour

Quote creation went from 15 to 30 minutes of manual effort to near-instant automated processing.

Data Straight From the Source

Product names, quantities, and pricing are pulled directly from parsed vendor data, which removed transcription errors entirely.

Volume Without Headcount

Unlimited vendor volume is handled with a full audit trail, and no additional headcount is required to absorb growth.

The impact

The Results

~0sto create a quote, against 15 to 30 minutes of manual transcription
0manual entry errors, with data pulled from parsed vendor PDFs
Unlimitedvendor volume handled with a full audit trail
4stages in the pipeline: Gmail, Zapier, Python parser, Jobber API
Flaggedunmatched items sent for review without blocking quote creation
Noadditional headcount required as vendor volume grows

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