
Spectrum



SERVICES USED

Salesforce

Jobber
Redis
Vercel
About
Spectrum
Spectrum Building Services is a building maintenance and emergency service company based in Markham, Ontario. Its teams handle work such as carpet cleaning, garage power washing, and odour control, along with 24/7 emergency response and restoration. Field operations run in Jobber (job scheduling, dispatching, and property management), while the sales team tracks opportunities and accounts in Salesforce.
The Challenge
Deals closed in one system, work scheduled in another
Sales reps closed deals in Salesforce, then re-entered the job details by hand in Jobber so operations could schedule and dispatch the work. Nothing linked an opportunity to its job, so a simple question like “did this sale get scheduled?” meant checking two systems.
The history had the same gap. Thousands of existing Jobber properties had no connection to their Salesforce accounts, which made reporting across the two systems impossible, and addresses were formatted differently on each side (St vs Street, Dr vs Drive). Assigning the right technician meant looking the person up in Jobber separately. Sales and operations were working in silos, with duplicated data entry and no shared source of truth for job status.
The Solution
One integration layer between sales and operations
Clouver built a secure API layer that sits between the two platforms. It was delivered in phases over about five months: token management first, then the proxy, then the Salesforce sync, then the bulk matching.
Authenticated GraphQL proxy: a single endpoint that accepts Jobber queries and mutations, handles OAuth automatically, and preprocesses variables into Jobber’s schema (ID encoding, custom field mapping, scheduling format conversion)
Automatic Salesforce records: when a job is created through the proxy, a linked Jobber record is created in Salesforce against the matching opportunity, closing the loop between sales and operations
Self-refreshing OAuth tokens: access tokens are cached in Redis and refreshed every 30 minutes by a scheduled job, so nobody re-authenticates by hand
Technician auto-assignment: the system reads the email in the job notes, looks it up in Jobber’s user directory, and assigns the matching person to the job
Bulk property matching: every Jobber property is compared against every Salesforce account using normalized addresses, edit distance, and token similarity, then scored as strong (address and client name match) or weak (address only)
Account backfill: matched Salesforce accounts are updated in batches with their Jobber property IDs, enabling cross-system lookups going forward
Before:
Job details re-typed from Salesforce into Jobber
No way to tell from Salesforce whether a sold job was scheduled
OAuth tokens expired silently and broke integrations
Thousands of properties with no link to their account
Technician assignment required a manual lookup
After:
Jobs created in Jobber with a single API call, with the Salesforce record linked automatically
Every job tied to its opportunity, visible from Salesforce
Tokens refresh every 30 minutes with zero manual intervention
Existing properties matched to accounts with confidence scores
Technicians assigned automatically from the job notes
The Results
Sold work now schedules itself
A closed deal now becomes a scheduled job without anyone typing it twice. Sales can see from the opportunity whether the work is booked, when the first visit is, and who is assigned, without opening Jobber.
The backfill did the same for the past: existing properties are linked to their accounts, address differences are normalized away, and historical reporting finally spans both systems.
The Conclusion
Spectrum kept both tools; what changed is the space between them. Two disconnected systems that forced double entry now behave like one workflow, from closed deal to dispatched job.
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