Fuel Analytics AI
Advanced time series forecasting across 1,700+ fuel stations and custom LLM-powered customer experiences on Google Cloud.
A few words about the client
Global Partners LP is a leading energy distributor and convenience retailer across the U.S. They needed an AI analytics platform to improve fuel demand forecasting at the station level, optimize supply chain operations, and enhance customer engagement.
AI/ML Development
Data Engineering
Google Cloud Platform
Natural Language Processing
Data Integration
Services Provided
AI/ML Development - Time Series Forecasting Models & LLM Fine-tuning
Google Cloud Platform - Scalable Analytics Infrastructure
Data Engineering - Fuel Demand Prediction Pipelines
Custom Software Development - Intelligent Customer Service Platform
Predictive Analytics - Station-level Demand Forecasting
Natural Language Processing
Cloud Architecture - High-Performance Computing for 1,700+ Locations
Model Training & Optimization - Custom AI Model Development
Goals Achieved
Predictive Intelligence: Advanced time series models analyze seasonal patterns, local events, and market trends to forecast fuel demand with unprecedented accuracy
Scalable AI Architecture: Google Cloud platform enables seamless scaling across Global Partners' extensive network of stations and terminals
Personalized Customer Support: Fine-tuned LLM chatbot understands Global Partners' specific business context, providing tailored assistance for fuel supply, convenience store operations, and customer inquiries
Real-time Decision Making: Cloud-based analytics enable instant adjustments to fuel delivery schedules and inventory levels based on predictive insights
Future-Ready Platform: Foundation for expanding AI capabilities across heating oil delivery, commercial fuel supply, and renewable energy initiatives
Operational Excellence: Data-driven approach to fuel management supporting Global Partners' 90+ year commitment to reliability and customer service
Specific Impact
1,700+ fuel stations equipped with advanced time series forecasting models for optimal inventory management
Significant improvement in fuel demand prediction accuracy across all locations and fuel types
Enhanced customer experience through custom LLM fine-tuned chatbot providing personalized assistance
Google Cloud infrastructure supporting real-time analytics and machine learning at enterprise scale
Optimized fuel logistics* reducing waste and improving supply chain efficiency across terminal network
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