Building AI products for the Arabic market presents unique challenges that most Western AI companies don't face. When we built Faya AI, our e-commerce shopping assistant, we had to solve problems that few have tackled before.
The Challenge: Arabic NLP Is Hard
Arabic Natural Language Processing is significantly more complex than English NLP:
- Morphology: Arabic words can have 10+ variations based on prefixes, suffixes, and root patterns
- Dialects: Iraqi, Egyptian, Gulf, and Levantine Arabic are practically different languages
- Diacritics: Most informal text lacks vowel marks, creating ambiguity
- Code-switching: Users frequently mix Arabic and English in queries
Our Architecture
We built Faya AI on a multi-layer architecture:
1. Intent Classification
We trained a custom model to classify shopping intents:
- Product Search: "أريد لابتوب" (I want a laptop)
- Price Inquiry: "كم سعر الآيفون؟" (How much is the iPhone?)
- Comparison: "شنو أحسن سامسونج ولا آيفون؟" (What's better, Samsung or iPhone?)
- Recommendation: "شنو تنصحني للمكتب؟" (What do you recommend for the office?)
2. Entity Extraction
Extracting product names, categories, price ranges, and specifications from natural Arabic text—including Iraqi dialect-specific expressions.
3. Product Matching
A vector-based similarity search that matches user queries to products in the catalog, handling Arabic synonyms and transliterations.
Results
After deploying Faya AI to our ERP e-commerce clients:
- 30% increase in product discovery
- 25% reduction in search abandonment
- 15% higher conversion rates
- Support for 3 Arabic dialects: Iraqi, Egyptian, and Gulf
Lessons Learned
- Start with data: We collected 50,000+ Arabic shopping queries before training any model
- Dialect matters: A model trained on MSA (Modern Standard Arabic) performs poorly on Iraqi dialect
- Context is king: Understanding that "شكد" in Iraqi means "how much" changed everything
- Don't over-engineer: Start with keyword matching, then graduate to NLP
Try It Yourself
Faya AI is live at ai.erp.faya.dev. If you're building e-commerce in the Middle East and want AI-powered search and recommendations, contact us.