International Retail Group Case Study

Comprehensive Forecasting System Enhancement Through Seven Advanced Methodologies

TrailBlazed AI enhanced this international retail group's existing forecasting system by developing and implementing seven specialized methodologies within the commercial block, significantly improving efficiency across promotional campaigns, inventory management, and demand forecasting operations.

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methodologies

12-month

Delivery

Comprehensive Forecasting System Enhancement Through Seven Advanced Methodologies | TrailBlazed AI

The Problem

This International Retail Group is one of the CIS region's largest retail companies, operating thousands of stores across the region. As a major retail operator managing complex operations across multiple product categories and promotional strategies, they had an existing forecasting system that required comprehensive enhancement to maintain competitive advantage.

Their current forecasting capabilities within the commercial block lacked systematic methodologies, creating inefficiencies in promotional campaign evaluation, inventory management, and demand planning. Operations teams struggled with inconsistent forecast adequacy checking, inadequate extreme values management, and limited lost sales estimation capabilities. Existing internal processes fell short, lacking the systematic approach and specialized methodologies they needed to optimize their massive retail operations.

TrailBlazed AI was tasked to deliver seven comprehensive methodologies to enhance their existing forecasting system, improve operational efficiency across the commercial block, and ensure systematic optimization of their retail forecasting capabilities.

The Solution

We developed a comprehensive enhancement strategy focusing on systematic methodology development within the International Retail Group's commercial block. Our approach involved creating seven specialized methodologies to address specific operational challenges while improving overall forecasting system efficiency.

Technical Implementation

Key Areas of Work Within the Commercial Block:

Cumulative Effect Assessment Methodology: Developed and implemented methodology for assessing the cumulative effect of introducing a forecasting system based on financial indicators
Forecast Adequacy and Adjustment Methodology: Developed and implemented methodology for checking the adequacy and adjusting the forecast to ensure accuracy and reliability
Extreme Values Management Methodology: Developed methodology for selection and adjustment of extreme values of sales within the demand recovery process for training of forecasting models
Initial Model Selection Program: Developed program for initial selection of forecasting models for the first entered categories of goods
Priority Adjustment Methodology: Developed methodology for priority adjustment of forecasting models to optimize performance hierarchy
Cannibal Goods Identification Methodology: Developed methodology for identifying cannibal goods and their impact on overall forecasting accuracy
Lost Sales Estimation Methodology: Developed and implemented methodology for estimating lost sales to improve demand planning accuracy

TIMELINE AND SERVICES USED:

Project Duration: 12 months for comprehensive methodology development and implementation
Team: Senior AI Engineer, Senior Data Scientist, Middle Data Engineer, Project Manager
Services: Advanced Forecasting, AI Strategy Enablement, Data Engineering
Methodology: Systematic enhancement, methodology development, implementation, optimization

Project Results

Pre-TrailBlazed AI

Limited systematic approach to forecasting system financial impact assessment

Manual forecast adequacy checking without standardized adjustment processes

Inadequate handling of extreme sales values affecting model training accuracy

Lack of priority-based forecasting model adjustment framework and cannibal goods identification

Post-TrailBlazed AI

Comprehensive methodology for assessing cumulative forecasting system effects based on financial indicators

Systematic forecast adequacy checking and adjustment processes implemented

Advanced extreme values management within demand recovery processes

Seven specialized methodologies deployed for priority adjustment, cannibal goods identification, and lost sales estimation

The systematic enhancement transformed their commercial block operations, delivering comprehensive methodological frameworks that significantly improved forecasting efficiency and operational optimization across their extensive retail network.

"TrailBlazed AI systematically enhanced our existing forecasting capabilities through comprehensive methodology development. The seven implemented methodologies significantly improved our operational efficiency across promotional campaigns, inventory management, and demand forecasting within our commercial operations."