Cutting Cable-Quote Turnaround by 92% at Tempsens with End-to-End AI Workflow
Manufacturing Quote AI Transformation
Tempsens — multinational industrial & optical-fiber cable manufacturer
30-person engineering-sales team was drowning in manual quoting & SAP updates
AI Consultancy · AI Development · AI Agents
- — 92% faster quote cycle
- — ₹15 L (~US $18 K) monthly OPEX cut
- — 100% SAP data accuracy
“This Workflow freed our engineers to innovate instead of keying data. Quotes hit customers in hours, not days.”
Pain Narrative
Tempsens customers deliver free-form specs (PDFs, Excels, long emails) for custom cable builds. Engineers had to interpret requirements & draft cable architecture, build BOM, cost & margin analysis, and generate formal quotes & upload to SAP. With >100 new RFQs per day, the 30-person team still faced a 5-day average turnaround and a growing backlog, stalling revenue and inflating labor cost.
Legacy Tasks- —Interpret requirements & draft cable architecture
- —Build BOM, cost & margin analysis
- —Generate formal quote & upload to SAP
CableQuote AI Workflow
Process audit, SOPs, success metrics
Multi-tool agent pipeline, SAP adapters
“CableQuote Bot” orchestrating extraction → architecture → pricing → quote
Ingests raw RFQs from email, parses specs via LLM-RAG chain.
Drafts cable-layer diagram, calculates BOM/cost with live SAP material prices.
Composes a branded PDF quote, and pushes all objects (BOM, costing, PDF) into SAP SD.
Fully unattended — zero human intervention required.
Implementation Strategy
- — 12 stakeholder interviews, 37 “shadow-day” observations
- — Mapped 18 discrete tasks → consolidated into 6 automated steps
- — Pilot (3 users) → phased rollout (30 users) in 6 weeks
- — Training workshops; feedback loop auto-tags mis-parses
- Input ingestion: LangChain email listener, OCR fallback
- Requirement parsing: GPT-4o + retrieval voting (optical-cable spec KB, 21K docs)
- Cable architecture generator: Constraint-based reasoning engine (IEC 60794)
- BOM & costing: SAP BAPI ↔ Kafka micro-service, real-time material index
- Quote composer: templated LaTeX → PDF, digital-signed
- Security: VPC-isolated, AES-256 at rest, audit logging to ELK
Business Impact at a Glance
| Metric | Pre-9AI | Post-9AI | Δ Impact |
|---|---|---|---|
| Avg. quote time | 5 days | 4 h | ▲ 92% faster |
| Engineering hours on quoting | 480 h/wk | 40 h/wk | ▼ 92% |
| Monthly labor spend | ₹22 L | ₹7 L | ▼ ₹15 L |
| Data errors in SAP | 8% | 0% | Eliminated |
| 3-yr projected ROI | — | 585% | — |
Start with the audit.
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