Service Lifecycle Management CPQ | Aftermarket Revenue Across Every Equipment Stage | ServiceCPQ
Service Lifecycle Management AI-Powered CPQ

Turn Every Equipment Stage Into
Aftermarket Revenue

From the moment a machine ships to its end-of-life rebuild — ServiceCPQ unifies lifecycle cost modelling, intelligent contract execution, warranty management and AI-driven propensity insights across all five revenue stages.

No legacy CLM needed
Works with SAP & Oracle
Dealer-network ready
Deploy in weeks, not months
Revenue stages per unit
40%
First-time fix improvement
30%
Warranty spend reduction
$400K
Aftermarket revenue / unit
<5 min
Quote approval time
6 Lifecycle Trigger Points

The Right Offer at the Right Moment —
Across Every Stage of Machine Life

ServiceCPQ monitors every unit in your installed base and fires automated service opportunities at six proven trigger points — from day of sale to end-of-life rebuild.

New · Y0–Y1 Early Life · Y1–Y3 Midlife · Y3–Y5+ End of Life · Y5+
1
Time of Sale
New equipment sold
Sell services, parts agreements & maintenance packs
Configure → Quote → Sell
2
1 Month Before Expiry
Warranty expires soon
Sell maintenance contract or extended warranty
Service Plan → Sell
3
Early–Midlife
Customer did not opt for contract
Sell preventive maintenance or reactive maintenance packages
Order → Schedule
4
Throughout Lifecycle
Customer has own service team
Sell parts & consumables
Data → CPQ → Sell
5
3 Months Before EOL
Component wear & tear
Sell replacement, rebuild or repair services
Quick Quote → Order
6
6 Months Before Expiry
Machine life expires
Sell end-of-life services, trade-in or remanufacture
Quote → ERP
Revenue by Stage

Capture Revenue at Every Stage —
Not Just at the Point of Sale

Legacy aftermarket teams capture 15–20% of potential lifecycle revenue. ServiceCPQ's five-stage model systematically unlocks the rest.

1
New Sale · Y0–Y1
Equipment Sale
$100K – $500K
  • AI-powered configuration
  • Dealer network enablement
  • Service packs at point of sale
  • Bundled maintenance agreements
Configure → Quote → Sell
2
Warranty Expiry
Bundled Service
~10% of Sales Revenue
  • Extended warranty (1 mo. before)
  • Service contracts
  • Maintenance plans
  • AI-recommended parts kits
Service Plan → Quote → Sell
3
Early Life · Y1–Y3
Warranty & Contracts
$15K – $50K / year
  • Warranty activation & feeds
  • Convert to service contracts
  • Automated claims processing
  • Preventive & reactive maintenance
Order → Contract → Schedule
4
Midlife · Y3–Y5+
Midlife Service
$20K – $75K / year
  • Parts & consumables
  • Repairs & overhauls
  • Predictive maintenance → CPQ
  • Service & parts AI scoring
Data → Analyse → CPQ
5
End of Life · Y5+
End-of-Life Services
$150K – $400K
  • Component replacement & rebuild
  • Major overhaul packages
  • Trade-in for new equipment
  • Quick Quote 6 mo. before expiry
Quick Quote → Order → ERP
Contract Management & Execution

A Living Contract —
Not a Static Database

Legacy CLM tools store PDFs and expire quietly. ServiceCPQ turns every service agreement into a Living Contract Feed that drives daily service, billing and commercial decisions — automatically.

🔄 The Living Contract Feed

When a service event occurs, the feed automatically validates contract terms, verifies coverage, tracks entitlement consumption and flags revenue leakage — all in real time, without manual lookups. Every PM cycle, billing event and renewal is driven by lifecycle cost models, not guesswork.

  • 📐

    LCC-Driven Contract Foundations

    Service contracts are priced and structured using lifecycle cost models — forecasting PM cycles, predicting component wear and building confident pricing with full margin visibility.

  • Dynamic Entitlement Validation

    Every service request validates in real time against active contract terms — coverage dates, usage limits, authorised service codes and dealer zones. Zero manual lookups, zero billing errors.

  • 💰

    Revenue Leakage Prevention

    ServiceCPQ identifies contract leakage the moment it happens — flagging out-of-scope labour, missing parts billing and entitlement overruns for immediate recovery action.

  • 🔄

    Automated Renewal & Upsell

    Contract expiry detected 30–90 days ahead. AI-generated renewal quotes with recommended upgrades based on actual usage, age, and failure history — sent before the customer looks elsewhere.

Active Contracts — Live View
Ajay Heavy Infra — Total Maint.
Expires 28 days · ZJ21 Fleet ×4
Renew Now
Ravi Mining — PM Contract
Active · 2,000hr service due
On Track
Shreya Gravel — Extended Warranty
Leakage detected · ₹42K unbilled
Flag
Northern Builders — Risk & Hedge
Performance KPIs on track
Active
Revenue at Risk
₹42K unbilled — 1 contract flagged
Auto-billing recovery initiated · 0 manual steps required
4 AI Agents powering the Living Contract
⚙️
CPQ Agent
Configures & prices contracts. Validates equipment data on acceptance.
📡
Monitoring Agent
Tracks performance metrics, compliance and KPIs in real time.
💳
Billing Agent
Automates invoicing, payment processing and renewal management.
📊
Analytics Agent
Analyses profitability and provides contract optimisation recommendations.
Lifecycle Cost Modelling

Know What Every Machine Will Cost — Before It Does

ServiceCPQ's LCC engine models total cost of ownership across planned maintenance, unplanned failures, parts consumption and end-of-life events — giving every quote a solid financial foundation.

  • 📐

    Bathtub Curve Age Modelling

    Component wear rates adjust dynamically through infant failure, random failure and wear-out phases — pricing and risk exposure track actual equipment age.

  • 🔩

    BOM-Level Cost Transparency

    Every quote is grounded in bill-of-materials cost structures — planned vs. unplanned ratios, lead times and parts margins — ensuring profitable contracts every time.

  • 📊

    Monte Carlo Reserve Prediction

    Simulate thousands of failure scenarios to compute optimal warranty reserves and service contract risk buffers — protecting margin across your entire installed base.

  • Real-Time Stock Visibility

    Days-of-cover alerts and inventory signals feed into service quotes — so you never promise parts you can't deliver.

LCC Dashboard — Excavator XJ-Series (10yr)
Total Cost of Ownership
Planned Maint.
45%
Unplanned Repairs
28%
Parts & Wear
18%
End-of-Life
9%
Planned
Unplanned
Parts
End-of-Life
ServiceCPQ Opportunity
₹18.4L untapped contract value
3 contract opportunities identified across this model fleet
Service Propensity & Insights

AI that Tells You Who to Call, What to Offer, and When

Stop relying on field reps to remember renewal dates. ServiceCPQ scores every machine in your installed base daily — surfacing the highest-probability opportunities automatically.

1

RFM + Lifecycle Signal Scoring

XGBoost models trained on recency, frequency, monetary value, equipment age, telemetry and service history produce daily propensity scores per machine per service type.

2

Gap Analysis & Whitespace Detection

Maps each customer's current coverage against their installed base — flagging missing warranties, unconverted maintenance packs and parts revenue gaps versus peer benchmarks.

3

SHAP-Explained Recommendations

Reps see exactly why a score is high — "warranty expiring in 28 days", "high-duty application", "last service 14 months ago" — so every customer call is credible.

4

Demand Forecasting for Parts & Service

Aggregate lifecycle signals across the installed base to predict regional service demand 60–90 days ahead — keeping supply chain and field ops ahead of capacity.

Service Opportunity Intelligence ● Live
AH
Ajay Heavy Infra — ZJ21
Y3 · Warranty expires 28 days · High duty
94%
Propensity
RM
Ravi Mining Co. — D155
Y5 · Component life ends 90 days · Parts gap
88%
Propensity
SG
Shreya Gravel — PC210
Y2 · No service contract · Own team
62%
Propensity
NB
Northern Builders — GD655
Y1 · Recently sold · Bundle opportunity
38%
Propensity
✨ AI Recommendation
Send extended warranty to Ajay Heavy Infra before 28-day expiry. Deal: ₹3.2L · Win probability: 91%.
Live Service Feed

One Feed. Every Lifecycle Milestone.

ServiceCPQ's real-time event feed delivers the right action to the right person at the right moment — across warranty activations, contract milestones, parts alerts and end-of-life triggers.

🔔

Proactive Trigger Alerts

Auto-alerts fire at every lifecycle trigger — 30 days before warranty expiry, 90 days before component life ends, 6 months before machine end-of-life — with pre-built quote templates.

⚙️

Sensor-to-Quote Pipeline

IoT and telematics alerts convert automatically into service requests and CPQ quotes — routing to the right dealer with parts availability and pricing pre-validated.

📱

Multi-Channel Delivery

Feed events reach service managers via dashboards, mobile, email and ERP/CRM integrations — no lifecycle milestone is ever missed across the dealer network.

ServiceCPQ Live Feed
⚠️
Warranty Expiry — Ajay Heavy · ZJ21
Extended warranty renewal · High propensity · Y3
₹3.2L
2 min ago
Claim Auto-Approved — Ravi Mining
Engine block · $18,400 · Fraud score: 0.04
$18.4K
8 min ago
🔧
PM Schedule — PC210 Fleet ×12
2,000hr service due · Parts reserved · Q2
₹8.1L
22 min ago
📦
Parts Opportunity — D155 · Wear 85%
Track chains + idlers · Midlife · Y5+ flag
₹5.6L
45 min ago
♻️
End-of-Life Package — GD655 · 6mo trigger
Trade-in or overhaul · Quote template ready
₹24L
1 hr ago
Why ServiceCPQ

The SLM Suite Built for
Industrial Manufacturers

Manufacturers searching for an integrated service lifecycle management suite that combines predictive maintenance, warranty claims automation and dynamic service pricing find exactly that in ServiceCPQ — purpose-built for complex equipment OEMs and dealer networks.

🔬

Predictive Maintenance + Warranty Claims Automation

ServiceCPQ connects LCC-driven predictive maintenance schedules directly to automated warranty claims processing. When a component reaches its predicted wear threshold, the system triggers a service event, validates warranty entitlement and — if covered — processes the claim through three AI agents in minutes. The result: higher first-time fix rates, lower warranty spend, and zero manual claim handling for routine jobs.

Predictive PM triggers Auto claims adjudication 40% better first-time fix 30% lower warranty spend
💰

Dynamic Parts Pricing + Automated Parts Replenishment

For manufacturers needing integrated tools that automate parts replenishment, warranty claims processing and dynamic parts pricing — ServiceCPQ delivers all three in one platform. Parts are priced using ABC × velocity margin optimisation with competitive index awareness. Replenishment is driven by days-of-cover alerts from the LCC engine. And warranty claims are processed without manual intervention, validated against active entitlements automatically.

Dynamic parts pricing Auto replenishment alerts Margin optimisation Dealer-velocity pricing
One platform. Every aftermarket revenue lever.
ServiceCPQ is the only SLM suite that unifies predictive maintenance, warranty claims automation, dynamic service & parts pricing, service contract execution and propensity-driven opportunity management — on a single installed-base data layer, for OEMs and their dealer networks.
Platform Capabilities

Everything Aftermarket. One Platform.

Six integrated modules sharing a single installed-base data layer — so every insight, quote and contract is always in context.

🤖

Conversational CPQ

AI-guided configuration builds accurate service bundles in minutes — asking the right questions and recommending optimal configurations from your machine catalogue.

Configure → Quote → Sell →
🛡️

Warranty & Claims

End-to-end warranty lifecycle — coverage activation, automated adjudication, supplier recovery and goodwill evaluation — all in one feed.

Warranty decision engine →
📊

Service Propensity

Daily-scored opportunity lists for every machine — ranked by purchase propensity, segmented by lifecycle stage, explained by SHAP feature importance.

Propensity & insights →
💼

Contract Execution

Service contracts that actively execute — triggering PM cycles, monitoring entitlement consumption, detecting leakage and auto-generating renewals.

Contract platform →
🔧

Parts & Repair CPQ

AI-driven parts pricing with ABC × velocity margin optimisation, competitive index awareness and dynamic discount guardrails across your entire parts catalogue.

Parts margin optimisation →
🔗

ERP & Dealer Integrations

Pre-built connectors for SAP, Oracle, Microsoft Dynamics and leading DMS platforms — with real-time event pipelines and structured data flows.

Integration architecture →
Built for industrial OEMs & dealer networks
Heavy Equipment
Construction Machinery
Agriculture Equipment
Mining Equipment
Industrial Engines
FAQ

Frequently Asked Questions

Service lifecycle management (SLM) in CPQ refers to the capability to configure, price and quote aftermarket services at every stage of equipment life — from the initial sale through warranty, service contracts, midlife parts and repair, and end-of-life rebuilds. ServiceCPQ integrates lifecycle cost modelling, contract execution and AI-driven service propensity to capture revenue across all five stages.
Lifecycle cost modelling (LCC) helps OEMs and dealers forecast total cost of ownership for each equipment unit — including planned maintenance, unplanned failures, component replacements and end-of-life costs. ServiceCPQ uses LCC data to proactively surface the right service offer at the right lifecycle moment, protecting margins while creating upsell opportunities on every machine in the installed base.
ServiceCPQ maps six trigger points: (1) Equipment sale — bundle service packs at point of sale; (2) 1 month before warranty expiry — sell extended warranty; (3) Early life Y1–Y3 — preventive and reactive maintenance packages for customers who didn't opt for a contract; (4) Throughout lifecycle — parts and consumables for customers with their own service teams; (5) 3 months before component life ends — replacement, rebuild or repair; (6) 6 months before machine life expires — trade-in, overhaul and remanufacture.
ServiceCPQ's propensity engine uses XGBoost models trained on RFM (Recency, Frequency, Monetary) signals, equipment age, service history and usage telemetry to score each customer's likelihood to purchase at each lifecycle stage. Dealers see a prioritised opportunity list — focusing outreach where conversion probability is highest. SHAP explainability means every rep understands exactly why a customer ranks high.
Legacy CLM systems are static databases that store PDFs and send expiry reminders. ServiceCPQ's Living Contract is an active feed that validates entitlements in real time, triggers PM cycles automatically, detects revenue leakage as it happens and generates renewal quotes before the customer thinks to ask. It's powered by four AI agents — CPQ, Monitoring, Billing and Analytics — that run continuously across your entire contract portfolio.
Yes. ServiceCPQ integrates with SAP, Oracle, Microsoft Dynamics and leading dealer management systems via REST APIs and event-driven feeds. The platform supports structured ERP data pipelines, document processing (PDF, Excel) and real-time sensor and alert streams.
Ready to Get Started?

Unlock Your Full Aftermarket
Revenue Potential

See how ServiceCPQ maps your installed base to a five-stage revenue model — in a 30-minute demo tailored to your equipment type.