AI STRATEGY
E-COMMERCE
Setup and use of LLMs on secure servers for mapping legacy product data in Arabic to English UNSPSC codes.
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 while following the strict data transfer policy.
"Unstructured Arabic product data needing UNSPSC standardization while no external APIs could be used."
We setup new secure server using high end NVIDIA GPUs with Llama and implemented an advanced AI-driven product classification system leveraging Llama 3 3.2 for sophisticated multi lingual 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 in local Arabic dialect with English UNSPSC code based current systems, breaking down data silos.
Enabled continuous reporting across historical and current data.
Improved data standardization and accessibility, streamlining operations.
FUTURE ROADMAP
Further extention of mapping system over other languages for other geographies.
Partner. Build. Scale
Partner. Build. Scale
INFORMATION
Let's discuss how we can engineer it into reality. We are ready to partner with you.