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Rams Kitchen - Research
From available published research
Risks, Effects & Mitigations
Limitations and Boundaries
Considerations
Users
Batching Heuristics
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From available published research

🎯 Unified Takeaways for Ram’s Kitchen

Employees: Mobile-first ordering with slot selection, reminders, and fast checkout.
Ram: Dashboard inspired by KDS (order queue, batch panel, overdue alerts).
Batching: Group by dish + slot, merge within small windows if it helps, cap batch sizes.
Payments: Start simple (QR/manual toggle) → move to gateway UPI later.
Operations: Slot caps + analytics to reduce overload and food waste.
Risk Handling: Build resilience for walk-ins, internet outages, and payment failures.

📚 Summary of Research Findings

1. Workplace Canteen Pre-Ordering (Breathnach et al.)

Employees accept pre-ordering if the system is simple, fast, and gives clear benefits (time saved, reserved slot).
Barriers: lack of menu imagery, inconvenient order windows, no reminders.
Recommendations: slot selector, menu images, push reminders, and easy repeat order features.
👉 For Ram: Design the employee app mobile-first, with slot-based ordering, images, and reminders.
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2. Digital Cafeteria Platforms in India (HungerBox, IT parks)

At scale (10k+ employees), digital cafeterias reduced waiting times, cut food waste, and improved satisfaction.
Success factors: slot caps (limit orders per window), analytics for demand forecasting, and multi-channel notifications (push, SMS, WhatsApp).
Payment integration improved transparency between employees and vendors.
👉 For Ram: Implement slot limits, add analytics dashboard, and provide hybrid payments (QR/manual toggle first, full UPI later).
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3. Kitchen Display Systems (KDS Research & Industry)

KDS replaces paper tickets with digital dashboards → fewer errors, faster order processing.
Best practices: minimal-tap interactions, clear status flow (Placed → In Progress → Ready), and timers for each order.
Overdue orders should be pinned and highlighted to avoid being missed.
👉 For Ram: Dashboard = a mini-KDS, with order queue table, status buttons, and timers/overdue flags.
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4. Order Batching Literature (Delivery & Warehousing)

Algorithms group orders by similarity (same dish) and time window for efficiency.
Dynamic arrival handling: merge batches within short windows (≤15 min) if it improves efficiency without delaying urgent orders.
Efficiency increases with batch size but must respect max batch capacity.
Warehousing/picking studies show grouping reduces workload & switching time.
👉 For Ram: Use heuristics (Dish + Slot grouping, merge within 15 min if possible, set max batch size). Recalculate when new orders come in.
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5. Gaps in Literature (Your Niche)

Most research is on delivery platforms or warehouse batching → different from a small kitchen with 15–30 min slots and customized orders.
Limited research on real-time batching in small on-site kitchens with heavy personalization.
👉 Ram’s Kitchen adds value by designing human-centered batching workflows, not just algorithms.
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