📦 Managing order flows in real time
Centralise your multi-platform orders, manage activity peaks and avoid late penalties with strategies proven by the best restaurants.
The chaos of multi-platform orders
Uber Eats, Deliveroo, Just Eat, phone orders, dine-in customers. When four order sources simultaneously feed your kitchen, the slightest hiccup can derail the entire chain. Here are the problems faced by 80% of multi-platform restaurants.
Three tablets, three ringtones
Each platform has its own tablet with its own notifications. When all three ring at the same time during a rush, stress rises and errors multiply. One missed validation on a tablet and the order is automatically cancelled after the timeout.
No overview
Impossible to know at a glance how many orders are in progress, which ones are late and how many are arriving in the next 15 minutes. Without visibility, you navigate blind and react instead of anticipate.
Cascading errors
An order prepared with an error generates a complaint. The time spent handling the complaint slows down subsequent orders. These delays generate new complaints. The vicious cycle sets in within minutes.
Team fatigue
Managing multiple flows simultaneously is cognitively exhausting. After 3 hours of service with relentless orders, concentration drops and the error rate increases by 40 to 60%. Fatigue is the primary factor behind delivery errors.
Centralising all your flows in one place
The solution to multi-platform chaos is centralisation. Instead of juggling between multiple tablets and interfaces, consolidate everything in a single system that gives you a clear and actionable overview. Here are the pillars of successful centralisation.
Single dashboard
Group all orders from all platforms in a single interface. No more back and forth between tablets. Every order is visible with its status, deadline and origin platform. One screen to monitor instead of three or four.
Tablet management
Assign tablets by station: one for the kitchen, one for packaging, one for delivery coordination. Each station only sees the orders that concern it, in priority order. Less noise, more efficiency.
Smart print routing
Order tickets print automatically on the right printer: starters to the cold station, hot dishes to the cooking station, drinks to the bar. No more manually sorting tickets — each station receives exactly what it needs to prepare.
Alerts and priorities
The system identifies orders close to their deadline and escalates them. A specific audio alert triggers when an order risks being late. You intervene before the problem occurs, not after.
Refusing intelligently without destroying your ranking
Refusing an order is not a failure — it is sometimes the best decision to protect the quality of your other orders. But every refusal has an algorithmic cost. The challenge is knowing when to accept and when to refuse, and how to minimise the impact on your visibility.
When refusing is the right decision
- Your kitchen is already at capacity and accepting would degrade the quality of all current orders
- The ordered item is out of stock and you cannot offer an acceptable alternative
- The estimated delay far exceeds the maximum acceptable time for the customer
- The order is clearly fraudulent or nonsensical
The impact of refusals on your ranking
- An acceptance rate below 85% triggers a degradation of your visibility on the platform
- One-off refusals during peak hours are better tolerated than regular refusals
- Uber Eats measures your rate over 28 rolling days — a bad day dilutes quickly
- Deliveroo takes the reason for refusal into account: 'too busy' is better perceived than 'item unavailable'
Surviving rush hours without sacrificing your score
The 12pm–1:30pm and 7pm–9pm slots often represent 70% of your delivery revenue. They are also the moments when errors are most costly. Good preparation and a few strategic adjustments make the difference between a controlled service and a catastrophic one.
Adjust preparation times
During peak hours, increase your displayed preparation times by 5 to 10 minutes on each platform. This reduces incoming flow and gives you a buffer to deliver on time. Better to promise 40 minutes and deliver in 35 than to promise 25 minutes and deliver in 35.
Simplify the menu during peak hours
Deactivate complex items (more than 10 minutes preparation) during the 12pm–1:30pm and 7pm–9pm slots. Keep only the quickly prepared dishes with high satisfaction rates. You'll serve more customers with less stress.
Stagger platform openings
Don't open all platforms at the same time. Start with Uber Eats at 11:30am, add Deliveroo at 11:45am. This spreads the initial flow and avoids the brutal spike that overwhelms the kitchen in the first minutes of service.
Plan staffing
Analyse your order data from the past 4 weeks to identify peak time slots. Schedule an extra cook for critical hours. The cost of this backup is more than offset by the reduction in cancellations and penalties.
How platforms penalise delays — and how to avoid them
Preparation delays are the number one factor in ranking degradation on delivery platforms. Understanding how each platform measures and penalises delays is essential to protect your visibility.
Uber Eats
Uber Eats measures your actual preparation time (from the moment you accept to the moment the dish is ready). If you regularly exceed the announced time, your ranking drops progressively. Beyond a 15-minute average delay, your restaurant may be temporarily deactivated during peak hours.
Deliveroo
Deliveroo uses a punctuality score system. Every order delivered late lowers this score. Below a certain threshold, your restaurant no longer appears in default search results — the customer must explicitly search for you by name to find you.
The time-buffer strategy
The most effective technique to avoid penalties is to add a buffer to your estimates. If your actual preparation time is 15 minutes, display 20–25 minutes on the platform. This 5 to 10-minute buffer lets you absorb unexpected situations (complex order, ingredient to fetch, unexpected peak) without ever exceeding the announced deadline.
Bonus: customers who receive their order ahead of the announced deadline are significantly more satisfied and leave better reviews. An announced deadline of 30 minutes with delivery in 22 minutes generates more satisfaction than an announced deadline of 20 minutes with delivery in 22 minutes — even though the actual time is identical.
Automate to improve reliability
Every manual task is a potential source of error. Automation doesn't replace humans — it frees them from repetitive tasks so they can focus on what really matters: kitchen quality and customer satisfaction.
Automatic confirmation
Configure automatic order acceptance during off-peak hours (2pm–6pm). This improves your average response time and acceptance rate without extra effort. Keep manual validation only during peak hours to control the flow.
Kitchen display screen (KDS)
Replace paper tickets with a digital kitchen display. Orders appear in real time, colour-coded by urgency. The cook validates each step with a gesture and the system automatically updates the status across all platforms.
Delivery coordination
When a dish is marked as ready in the kitchen, the system automatically notifies the platform to trigger the courier's arrival. Optimised timing reduces the courier's waiting time (and therefore total delivery time) by 5 to 8 minutes on average.
Automated daily reports
Receive a summary of your day every evening: number of orders, average preparation time, cancellation rate, late orders. This data lets you adjust your organisation day after day without having to compile it manually.
Gérer les flux de commandes multi-plateforme : guide complet 2026
Comment unifier Uber Eats / Deliveroo / Just Eat sur un seul écran, refuser proprement en rush, automatiser l'acceptation et tenir un score qualité au-dessus du seuil de suspension.