Wateen is a cloud platform that gives restaurant groups full visibility into sales, inventory, and procurement across hundreds of outlets. They wanted restaurant operators managing multiple outlets to see what’s working—and fix what isn’t—before it hits the bottom line.
Staff hours saved every month
Forecast-accuracy across sales, demand and wastage reports.
Savings in ingredient wastage within one quarter
Fewer stock-out events accross restaurant chains
The Challenge
What did
Beyond Coders do
We began by Exploratory Data Analysis (EDA) and cleaning three years of sales, inventory, procurement, and wastage data, building a single, trusted data pipeline.
From there, we developed machine-learning models for demand forecasting, inventory optimization, menu engineering, and waste detection—achieving 92% predictive accuracy throughout all reports.
Next, we overlaid an AI Insights Engine using Large Language Models from Llamma, that transformed raw outputs into plain-language recommendations (e.g., “Stock 30 % more Fattoush next week”), giving each branch context-aware actions.
We containerised the models, exposed real-time API endpoints, and added auto-retraining hooks, enabling Wateen’s front-end team to go live within hours.
The Results
- Reliable planning with 92% accuracy
- 35% reduction in ingredients wastage
- 28% less stockouts, increasing customer satisfaction
- Managers spent less time spent on reporting
- Improved customer satisfaction with lesser efforts from managers
