AI and automation, an internal SaaS platform and system integrations.
Atlas Supply
Concept case study
An industrial supplier receives quote requests in different formats and languages. RelayOps brings documents, extracted fields and catalogue suggestions into one reviewable workflow, with staff retaining approval.
Concept case study. The company, project and results are fictional. All comparisons are simulated, not verified client results.
- Collect quotation requests and attachments in one place.
- Extract items and quantities with a source reference for every field, then suggest catalogue matches.
- Route missing or uncertain information to human review.
- Send quotations only after staff approval and record each change.
- Support multilingual requests while standardising item names and units for review.
AI and automation, an internal SaaS platform and system integrations.
10-week pilot; simulated comparison using 200 representative requests per month.
Map the existing workflow
Trace requests from email through classification, matching and pricing. Measure hands-on processing time.
12 min
After: Hands-on work per request
3 / 200
After: Requests needing data-entry correction
≈87 h
After: Monthly administrative capacity released
Concept case study. The company, project and results are fictional. All comparisons are simulated, not verified client results.
Plan automation and its boundaries
Map extraction, confidence checks and catalogue matching, followed by a human approval gate.
Build the review screen
Display the source attachment beside the extracted fields and highlight missing or conflicting values.
Test exceptions and decisions
Test duplicate attachments, ambiguous quantities and unmatched products, with a visible staff decision.
- Collect quotation requests and attachments in one place.
- Extract items and quantities with a source reference for every field, then suggest catalogue matches.
- Route missing or uncertain information to human review.
- Send quotations only after staff approval and record each change.
- Support multilingual requests while standardising item names and units for review.
10-week pilot; simulated comparison using 200 representative requests per month.
Pilot and review the return
Start with a small team and compare preparation time and corrections before expanding use.
The change, measured.
Staff review the important exceptions instead of manually copying every field. Final quotation approval and sending remain with the employee.
Simulated results01 / 03
Before: 38 minAfter: 12 min
Hands-on work per request
Includes human review; this is not the supplier’s total response time.
Before: 10 / 200After: 3 / 200
Requests needing data-entry correction
Simulated groups with the same request distribution and complexity.
Before: 0 hAfter: ≈87 h
Monthly administrative capacity released
(38 − 12) × 200 ÷ 60 = 86.7 hours. Available work capacity, not proven cash savings.
Concept case study. The company, project and results are fictional. All comparisons are simulated, not verified client results.
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