Unlock Hidden Value: The Smart Approach to Your Aftersales Ecosystem

ServiceCPQ AI agents combine multiple AI technologies to automate end-to-end workflows:
Input Processing: Agents accept inputs through natural language text, document uploads (PDF, Excel), service reports, or guided forms. They use Natural Language Processing (NLP) to understand requests like "create a claim for hydraulic pump failure on machine ABC123."
Intelligent Analysis: Agents analyze the input using machine learning models trained on manufacturing data, validating information against business rules, historical patterns, and fraud detection algorithms.
Automated Actions: Based on analysis, agents automatically execute tasks like creating claims, validating warranty eligibility, generating quotes, recommending services, checking inventory, and processing approvals.
Continuous Learning: Agents improve over time by learning from user feedback, approval patterns, and outcome data to enhance accuracy and reduce errors.

ServiceCPQ provides eight specialized AI agents for manufacturing aftersales operations:
Warranty & Claims Agent - Automates the complete claims lifecycle from creation to settlement
Inventory Agent - Manages parts procurement, stock allocation, and kit creation
Quote Agent - Generates accurate quotes from natural language or document uploads
Repair Agent - Semi automated process from intake to estimate, proposal, service delivery and billing.
Contract Agent - Semi automated contract management platform that creates and monitors a contract, justifies contract, schedules service plans and billing.
Service Pricing AI - Optimizes pricing with margin and discount recommendations
Service Recommendation Engine - Suggests relevant services based on machine data and customer context
AI CPQ Agent - Automates product variant configuration and catalog creation.

ServiceCPQ AI agents are built on an enterprise-grade AI platform architecture:
Pre-trained Models: Agents come with machine learning models pre-trained on manufacturing aftersales data, requiring no data science expertise to deploy.
Multi-AI Technology Stack: Combines Natural Language Processing (NLP), Machine Learning (ML), Artificial Neural Networks (ANN), Computer Vision for document processing, and rules-based validation engines.
Integration Layer: Built-in REST APIs connect agents to SAP, Salesforce, and other enterprise systems for seamless data flow.
Workflow Engine: Orchestrates multi-step processes across validation, fraud detection, approval routing, and transaction execution.
Continuous Learning: Agents use feedback loops to improve accuracy through supervised learning from user corrections and outcome data.
Security & Compliance: Enterprise-grade security with role-based access, audit trails, and data encryption ensures agents operate within governance frameworks..

ServiceCPQ AI Agents are available through cloud deployment with flexible implementation options:
Cloud Platform Access: Subscribe to ServiceCPQ cloud platform with pre-built agents ready to configure for your business
Implementation Process: Typically 8-16 weeks including data integration, business rule configuration, and user training
Deployment Models: Start with specific agents (warranty, quote, inventory) and expand based on ROI and business priorities
Contact: avijit@servicecpq.com or ashok@auxentios.com