Retail & E-commerce AI
Personalize every shopper. Optimize every shelf.
Mwzn powers retail intelligence at scale — from AI-driven personalization and dynamic pricing to demand forecasting, inventory optimization, and conversational commerce. Built for omnichannel retailers and marketplaces across the GCC and MENA region.
Challenges we solve
- Generic experiences failing to convert browsing into purchasing
- Overstocking and stockouts causing margin leakage
- Manual pricing processes unable to react to market changes
- Fragmented customer data across channels
35%
Revenue uplift
28%
Inventory cost reduction
4×
Conversion rate increase
90%
Demand forecast accuracy
Capabilities
What's included in this solution
AI Personalization Engine
Real-time product recommendations, personalized search ranking, and dynamic homepage assembly — tailored to each shopper's behavior and context.
Dynamic Pricing & Promotions
AI pricing models that react to demand signals, competitor prices, and inventory levels in real time — maximizing margin without sacrificing volume.
Demand Forecasting & Inventory AI
SKU-level demand forecasting models that reduce overstock by 28% and eliminate stockouts on high-velocity products.
Conversational Commerce AI
Arabic-first shopping assistant on web, WhatsApp, and app — answering product questions, making recommendations, and completing purchases conversationally.
Visual Search & AI Merchandising
Computer vision-powered visual search and automated product tagging that improves catalog discovery and reduces manual merchandising effort.
Customer Analytics & Retention
Churn prediction, LTV modeling, and AI-triggered retention campaigns that recover at-risk customers before they lapse.
Our Approach
How we deliver this solution
Proven Results
What you can expect
35%
Revenue per visitor increase
Revenue Impact
AI personalization drives measurable revenue uplift through better recommendations and higher conversion rates.
28%
Inventory holding cost reduction
Inventory Efficiency
Accurate demand forecasting prevents overstocking while ensuring top SKUs are never out of stock.
4×
Conversion rate vs. non-personalized
Conversion Rate
Personalized search and recommendations turn browsers into buyers at dramatically higher rates.
Case Study
Real results, real organizations
The Challenge
A 3M SKU fashion marketplace had a 1.2% average conversion rate and $18M in annual overstock write-offs due to poor demand forecasting.
The Result
Mwzn's personalization engine raised conversion to 4.8% within 6 months. AI demand forecasting reduced overstock write-offs by 31%, recovering $5.6M annually.
4×
Conversion rate improvement
Everything included
Full capability list
Ready to deploy Retail AI?
Our team will assess your current state, design a tailored implementation plan, and deliver measurable results within your timeline.