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AI-Powered Energy Sales Quote Automation Platform for Utilities

Solution Section

Problem: Slow & Costly Quotation Workflows in the Energy Sector

A Fortune 100 energy company was losing time, margin, and trust due to its outdated energy quotation process. Manual data entry, Excel-based operations, and siloed systems for customer info caused:

Haversine Distance
2–5 day average turnaround for quotes
Google Maps API
20–40% correction/rework rates
AI Recommendation Engine
Exposure to wholesale price volatility (~1¢/kWh swings = $9K–$200K impact per deal)
AI Recommendation Engine
Hundreds of hours lost weekly in manual entry and back-and-forth corrections

These inefficiencies hampered the sales team, slowed broker responsiveness, and eroded confidence in their quote-to-cash lifecycle.

Solution Section

Solution: AI-Powered RFQ Automation Platform for the Energy Industry

To modernize and accelerate their quoting process, the client implemented JBS’s Energy Sales Quote Automation Platform, powered by Agentic AI and deployed on Google Cloud Platform (GCP).

Haversine Distance
1. RFQ Intake Automation
Quote requests are uploaded and automatically parsed using LLM-based data extraction, reducing time and manual effort.
Google Maps API
2. Source & Region Recognition
Smart geo-based classification identifies regulatory zone and market context.
AI Recommendation Engine
3. Data Enrichment & Validation
Intelligent algorithms validate contract types, load profiles, meter IDs, and partner information—catching errors before they escalate.
AI Recommendation Engine
4. Approval Pipeline & Broker Response
Human-in-the-loop UI links route final quotes for manager approval, which are then emailed directly to brokers or clients.
AI Recommendation Engine
5. Back-End System Integration
Fully integrates with CRM, ERP, and pricing engines for energy CPQ (configure-price-quote) precision.
Technology Stack

Technology Stack

UI/UX
Google Cloud Platform (GCP)
BI Tools
Large Language Models (LLM)
Data Services
Agentic AI
UI/UX
Contextual RAG (Retrieval-Augmented Generation)
BI Tools
LangChain
UI/UX
Python
UI/UX
LangSmith
UI/UX
Azure AD for authentication
UI/UX
AKS for deployment
UI/UX
React-based front-end with workflow orchestration

Quantified Business Outcomes

Turnaround Time

Reduced from 2–5 days to under 5 minutes

Correction/Rework Rate

Dropped by 90%, reducing manual effort

Financial Risk Reduction

Protected $100K–$200K margins per deal

Sales Acceleration

Increased win & renewal rates

Ready to Transform Your Energy Quoting Process?

Partner with JBS to deploy the industry’s most advanced Energy Sales Quote Automation Platform. From utility-scale quoting to complex RFQs with regulatory variables, we’ve built the blueprint for faster, smarter, and more profitable energy sales.

Get in touch today to see a demo or request a deployment roadmap.

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