Supy Back-of-House Inventory, Procurement and AI Forecasting

Supy is a Dubai-based restaurant technology company founded by restaurateur Dani El-Zein and software engineer Ibrahim Bou Ncoula to fix the daily chaos of managing inventory and suppliers. It builds specifically for operators running 2 to 250 branches and says it serves 3,500+ restaurants in 40+ countries, with offices in the UAE, Saudi Arabia, the UK, Australia and the USA.

The cloud platform and mobile app cover procurement (requisitions, approvals, purchase orders, supplier management, central kitchen orders, AI invoice receiving), inventory (ingredient and allergen data, recipes and prep, live stock, stock counts, transfers, wastage recording) and business intelligence (AI sales forecasting, dashboards, spreadsheet reports, open API, Delta Sharing). AI Predictive Ordering runs the item-level sales forecast through recipes, subtracts current stock and proposes order quantities per supplier for review before sending.

• AI Predictive Ordering: builds supplier purchase orders from sales forecasts, recipes and current stock.
• AI Sales Forecasting: item-level demand forecasts that drive prep and ordering.
• Procurement workflows: requisitions, approvals, purchase orders, central kitchen orders and price variance tracking.
• Inventory control: live stock, stock counts, transfers, wastage recording and audit logs.
• Recipes and allergens: ingredient, allergen and recipe costing for every menu item.
• Integrations and BI: 75+ POS, ERP and accounting integrations, dashboards, open API and Delta Sharing.

• Vietnamese restaurant groups with a central kitchen supplying 10 to 100 outlets automating requisitions and transfers.
• Coffee and bakery chains tracking recipe cost and wastage daily to protect margins.
• Hotel F&B departments matching supplier invoices to purchase orders and spotting price variances.

• Lower food cost: the site cites 25% food cost reduction, and Shaka Cafes reports food cost falling from 39% to 33% with variance down from 15% to 9%.
• Tighter controls: 200+ customisable permissions, ordering policies and approval workflows reduce errors and overspend.
• Less manual work: stock counts, ordering and invoice workflows move from spreadsheets to the mobile app.
• Smarter ordering: AI suggestions show last order and four-week average next to each line before submission.

Multi-branch restaurant groups are moving back-of-house work from spreadsheets to cloud platforms as ingredient prices fluctuate and margins tighten. AI demand forecasting linked to recipes and supplier ordering is becoming a key lever to cut over-ordering and food waste, a need shared by fast-growing F&B chains in Southeast Asia.

Founded by Dani El-Zein and Ibrahim Bou Ncoula; offices listed in Dubai, Riyadh, Melbourne, New York and London, plus Hong Kong according to a 2025 press release. The company reports revenue tripling in 2025 and presence in 42 countries. Customers quoted include Tashas, Shaka Cafes, La Carnita and Fiya.