Basel Alebdi & Nouf Alroqi- Data-Driven F&B Delivery: Jahez as a Leading Example| PyData Global 2023

Jahez is a major food delivery platform in Saudi Arabia expanding internationally, with 600,000+ daily active customers and 25,000+ restaurant branches

The platform’s Data & AI department, established 1.5 years ago, has created products that generate 15% of total orders and 20% of revenue from newly joined restaurants

Search functionality accounts for 55% of Jahez’s orders, making it a critical feature for the platform

The company uses NLP and machine learning to:

• Predict restaurant cuisines automatically
• Identify missed business opportunities through search analysis
• Correct spelling mistakes and match similar queries
• Handle multi-language (Arabic-English) search capabilities

Customer behavior analysis shows that users leveraging data-driven features experience a 26% decrease in average order cycle time

Platform generates extensive operational data, with drivers covering 450 million kilometers (equivalent to 1000 moon trips)

Restaurant insights platform provides merchants with:

• Customer base analytics
• Operational performance metrics
• Menu optimization suggestions
• Basket analysis
• Item preparation timing data

Search query analysis includes:

• Substring matching
• Levenshtein distance calculations
• Session-based grouping
• Multi-language name matching

System supports multiple cuisine classifications per restaurant to handle establishments serving different types of food

Data-driven approach has led to hundreds of new restaurant partnerships within two months of implementation