Foodics signs $10m AWS deal to accelerate AI for restaurant forecasting, dynamic pricing, and inventory

Foodics inks $10M AWS deal to scale its cloud restaurant platform and speed AI for forecasting, inventory, pricing, and recommendations. Outcome: less waste, better margins.

Published on: Oct 20, 2025
Foodics signs $10m AWS deal to accelerate AI for restaurant forecasting, dynamic pricing, and inventory

Foodics signs $10 million deal with AWS to fast-track AI product innovation

Foodics has signed a $10 million commercial agreement with Amazon Web Services (AWS) to scale its cloud-based restaurant platform and speed up AI features for the food and hospitality sector. The company will use AWS infrastructure to make AI a core layer across its SaaS offering.

What the deal covers

AWS will provide scalable, secure infrastructure to support Foodics' growth and AI roadmap. The focus: shipping predictive and automated decisioning into daily operations and financial workflows.

  • Predictive demand forecasting
  • Intelligent inventory management
  • Dynamic pricing
  • AI-driven recommendations

Why it matters for management, operations, and product teams

  • Reduce food waste and stockouts with more accurate forecasts and auto-replenishment.
  • Lift margins through price elasticity models that adjust by time, channel, and location.
  • Balance working capital by tightening inventory turns and improving cash conversion.
  • Improve menu engineering with item-level demand signals and cross-sell recommendations.
  • Stabilize service quality by aligning labor plans with predicted demand swings.

Execution playbook

  • Data foundation: unify POS, inventory, supplier, delivery, and payment data; define a clean item master and store taxonomy.
  • KPIs: set targets for forecast error (MAPE), food cost %, gross margin, inventory turns, and waste per location.
  • Pricing: start with rules for guardrails, then introduce ML-driven elasticity by segment; A/B test by store clusters.
  • Inventory: use forecast-driven reorder points with lead-time variability; set safety stock by volatility.
  • Change management: train managers on exception handling, alerts, and overrides; keep human-in-the-loop until confidence improves.
  • Governance: log model decisions, ensure audit trails for price and stock changes, and apply least-privilege access.
  • Rollout: pilot 10-20 locations, measure lift, then scale by region with playbooks and templates.

KPIs to watch

  • Forecast MAPE by category and store
  • Gross margin lift from dynamic pricing
  • Inventory turns and days on hand
  • Food cost % and waste per 1,000 orders
  • Stockouts per week and substitution rate
  • Payback period and net incremental EBITDA

Leadership perspective

Foodics frames itself as a fintech-first SaaS platform for the F&B sector. Leadership is leaning into predictive analytics as a foundation-forecasting, pricing, inventory, and recommendations-to improve operations and financial control for restaurants of any size.

AWS underscores the potential of cloud and AI to help Foodics ship these capabilities faster and at scale. The shared goal: smarter decisions, tighter margins, and better run units.

About Foodics

Foodics is a leading restaurant and payment tech company in MENA with a 360° SaaS ecosystem. It is licensed as a Fintech company by the Saudi Central Bank (SAMA), serves dine-in, cafés, QSRs, bakeries, food trucks, cloud kitchens, and micro-retail, and has processed over 6 billion orders.

The company raised $170 million in its Series C round and continues to expand its product suite for operators and finance teams. Learn more at foodics.com.


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