AI STRATEGY
E-COMMERCE
AI system using Llama 3 for embeddings and matching.
CLASS ACCURACY
99.8%
DELIVERY TIMELINE
8 Weeks
REGION
Saudi Arabia
CLIENT PROFILE
Industry
E-commerce Strategy
Location
Saudi Arabia
Year
2024
TECHNOLOGY STACK
A significant challenge was managing a large volume of unstructured product data in Arabic, which urgently needed standardization to UNSPSC codes for consistent reporting.
"Unstructured Arabic product data needing UNSPSC standardization."
We implemented an advanced AI-driven product classification system leveraging Llama 3 3.2 for sophisticated text processing.
Converting translated Arabic descriptions into machine-readable embeddings.
Matching embeddings with UNSPSC code database for automated classification.
Sophisticated text processing of Arabic product descriptions.
Successfully integrated legacy product data with current systems, breaking down data silos.
Enabled continuous reporting across historical and current data.
Improved data standardization and accessibility, streamlining operations.
FUTURE ROADMAP
Further refinement of models for new product categories.