Demand Forecasting Model

Flashana Technologies Inc. develops software products in retail supply chain, specifically predictive analytics for inventory management.

Current challenges include:
(1) Data harmonization, where manual field mapping consumes a large portion of onboarding time.
(2) Algorithmic competitiveness, while competitors deploy classical forecasting, Flashana targets developing AI/ML integrates model that combines customer history with external factors to contribute effective forecasting approaches.
(3) Scenario-based analysis, considering new developments in business analytics, users need rapid AI-guided evaluation of supplier failures or new policies without corrupting production data.

This research project addresses these gaps by building an AI-based model that benchmarks state-of-the-art AI/ML models and time-series demand forecasting methods, and a data-driven simulation environment where users perform what-if scenario analysis and obtain the predicted supply-chain impact.

Faculty Supervisor:

Javad Tavakoli

Student:

Partner:

Flashana Technologies Inc

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

The University of British Columbia - Okanagan

Program: