FoodTech AI Engineering

AI Solutions for Restaurants & FoodTech

XPndAI builds AI ordering agents, kitchen automation, demand forecasting, and custom software for restaurants, cloud kitchens, QSRs, and food delivery platforms.

What We Build
For Your Business

End-to-end AI and software engineering with measurable enterprise outcomes.

How Leading Teams
Deploy This Technology

1

WhatsApp AI Ordering — QSR Chain

A QSR chain with 80+ outlets deployed our WhatsApp AI ordering agent. Customers browse the menu, customize orders, select outlet, and pay — all within WhatsApp. The channel now handles a significant portion of total orders with zero commission to aggregators.

2

Demand Forecasting — Cloud Kitchen Operator

A cloud kitchen operator integrated our demand forecasting AI for 12 brands across 6 kitchens. The model predicts hourly demand per SKU, allowing prep batching that reduced food waste measurably and improved order completion rates during peak hours.

Built With Modern Tools

OpenAILangChainFastAPIPostgreSQLWhatsApp Business APIZomato APISwiggy APIRazorpayRedisAWS

Common Questions Answered

Everything you need to know before starting an AI project with XPndAI.

What AI solutions does XPndAI build for food tech and restaurant companies?

XPndAI builds AI order management and kitchen optimisation agents, AI-powered demand forecasting for inventory, customer service chatbots for Zomato/Swiggy and own-app queries, food quality computer vision inspection, personalised menu recommendation AI, delivery route optimisation, and loyalty programme AI.

How much does food tech AI development cost?

FoodTech AI at XPndAI starts from ₹5–10L for an AI chatbot or demand forecasting tool, ₹18–50L for a kitchen intelligence or route optimisation platform, and ₹60L–1.5Cr for an enterprise food AI suite. Fixed-fee, milestone-based delivery.

Can AI reduce food waste and improve kitchen efficiency?

Yes. XPndAI demand forecasting AI uses historical orders, weather, events, and day-of-week patterns to predict item-level demand with 85–90% accuracy — reducing food prep waste by 20–35%. Kitchen optimisation AI sequencing reduces average order fulfilment time by 15–25% during peak hours.

How long does food tech AI implementation take?

An AI demand forecasting tool takes 4–8 weeks. A full kitchen intelligence or delivery optimisation platform takes 10–16 weeks. An enterprise restaurant chain AI platform takes 3–5 months. XPndAI integrates with Zomato, Swiggy, POS systems, and custom ordering apps.

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Deep Dive. Free.

Talk directly to our lead engineers. We audit your requirements, propose the exact architecture, and give you a transparent roadmap — all in one call.

  • Technical Architecture Blueprint — custom for your use case.
  • Scalable Infrastructure — built for enterprise growth.
  • Production-Ready Code — rigorous QA and deployment.
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