Global Analytics Provider Case Study
Dual AI Systems Increase Product Profitability by 49% and Transform Retail Promotion Management
TrailBlazed AI delivered two comprehensive projects: a supply chain optimization system using Deep Learning and Reinforcement Learning that increased product profitability by 49%, plus a complete retail product promotion system with advanced forecasting methodologies.
49%
Profitability Increase
6 Months
Supply Chain Timeline
12 Months
Promotion System Timeline
The Problem
The client is a global analytics software leader serving Fortune 500 companies worldwide. As competition intensified in the enterprise software market, they needed AI solutions that would showcase machine learning's true business potential to their own enterprise clients.
They were bleeding money from two critical operational inefficiencies that threatened their competitive edge.
Their supply chain operations relied on manual route planning between warehouses. Operations managers spent hours making suboptimal decisions that drove up costs and hurt profitability. With enterprise clients demanding proof of AI's business value, SAS couldn't afford these inefficiencies.
Meanwhile, their retail promotion strategies lacked systematic evaluation methods. Marketing teams guessed at campaign effectiveness while inventory sat misallocated across stores during peak seasonal periods. Without data-driven promotional optimization they were leaving millions on the table.
TrailBlazed AI was tasked to deliver automated decision-making systems that would optimize supply routes and create comprehensive promotional methodologies, transforming their business.
The Solution
We developed two distinct but complementary AI systems for the client, demonstrating our ability to handle multiple complex projects simultaneously and deliver comprehensive solutions across different business domains.
Phase 1: Supply Chain Optimization System
Deep Learning and Reinforcement Learning algorithms for route optimization
Automated decision-making systems for supply routes between warehouses
Complete documentation and automated management processes
Advanced optimization models for inventory distribution
Phase 2: Retail Product Promotion System
Methodology for evaluating promotional campaign effectiveness
Optimization model for reallocation of in-store inventory for seasonal promotions
Hierarchical forecasting model using ML and TS (Time Series) models
Complete promotional strategy framework
Timeline & Services
Phase 1: 6 months
Team: 2 Senior AI Engineers, Analyst Consultant
Phase 2: 12 months
Team: Senior AI Engineer, Middle Data Scientist, Middle Data Engineer, Analyst Consultant
Services: Advanced Forecasting, AI Infrastructure, Custom Algorithm Development
Methodology: Dual-track development, production deployment, team training
Project Results
Pre-TrailBlazed AI
Manual supply chain decisions costing hours of management time daily
Suboptimal warehouse routing driving up operational costs significantly
Ad-hoc promotional campaign evaluation without systematic measurement
Seasonal inventory misallocation leading to stockouts and overstock losses
Post-TrailBlazed AI
49% increase in product profitability through automated supply chain optimization
Complete automation of warehouse supply route decision-making processes
Systematic promotional campaign evaluation methodology implemented company-wide
Hierarchical forecasting models optimizing seasonal inventory allocation across stores
The client transformed from struggling with operational inefficiencies to showcasing AI implementation excellence. Their dual AI systems now serve as proof points for enterprise clients while delivering measurable business value.
"TrailBlazed AI delivered sophisticated AI systems that exceeded our expectations across multiple business domains. The 49% increase in product profitability and comprehensive promotional methodologies demonstrate the transformative potential of advanced AI implementation."
Project Director
Global Analytics Provider
