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AI Supply Chain Optimisation for DubaiMe Cosmetics Distribution

Data & Analytics

AI Supply Chain Optimisation for DubaiMe Cosmetics Distribution

Designed an AI-assisted supply chain optimisation system for DubaiMe Cosmetics Distribution, improving demand forecasting accuracy, reducing inventory holding costs, and increasing warehouse space utilisation.

DubaiMe Cosmetics Distribution1 min read
  • Retail / Distribution
  • Data & Analytics Advisory

The challenge

DubaiMe managed large product inventories across warehouse facilities, but demand fluctuations and manual replenishment processes led to overstocking, wasted storage capacity, and elevated operational costs. The business lacked data visibility to forecast demand or optimise warehouse allocation.

The engagement

Bahgat Expert designed a supply chain analytics architecture incorporating predictive demand forecasting models, inventory optimisation algorithms, and warehouse space utilisation analytics. The framework was structured to integrate with existing distribution and logistics data sources in a phased implementation approach.

What was built
  • Supply chain data architecture design
  • Predictive demand forecasting model specification
  • Inventory optimisation framework
  • Warehouse space utilisation analytics design
  • Phased implementation and change roadmap

Outcome

Considering a similar engagement? Bahgat Expert accepts inbound consultations across AI, ICT, data, and digital risk.