The delivery app rider issues a restaurant faces fall into two groups, and the frustration usually comes from treating them as one. Some things are yours to fix: how accurate your prep time is, how well the packaging holds up, how the handover works at the counter. Others belong entirely to the platform: which rider is assigned, when, by what route, and whether the order is batched with two others on the way. You carry the rating hit for both groups, which is why it pays to be clear about which is which.
This post lists the common delivery problems, separates what you control from what you do not, and gives practical steps for each. Everything here applies equally to delivery app delivery delays, since the two platforms run their fleets in the same way.
The delivery problems that come up most
- No rider assigned. The order is accepted and prepared, and the app keeps searching for a delivery partner. Food sits on the counter.
- Rider assigned but late to pick up. The partner is finishing another delivery, or stuck in traffic, and arrives after the food has cooled.
- Batched orders. One rider picks up two or three orders and delivers yours last.
- Wrong handover. Two orders at the counter, the rider takes the wrong bag, and both customers get the wrong food.
- Rider cancels mid-delivery. The order is reassigned or cancelled, and the restaurant may or may not be paid for the food.
- Customer complains to you. The food was late or cold because of the ride, and the rating lands on the restaurant.
Of these six, the restaurant has a direct lever on two and a partial lever on two more. The remaining two are the platform's, full stop.
What you cannot control, and why
The platform assigns riders from the pool available near you at that moment, based on distance, the rider's current load and its own routing logic. During rain, at 9 pm on a Saturday, or when a big event ends nearby, the pool runs short and orders wait. You cannot request a specific rider, cannot see how many are nearby, and cannot stop your order from being batched with others.
You also cannot contact the customer directly to explain. The number is masked, and communication goes through the app. So when the rider is thirty minutes late, the customer's only visible point of contact is your restaurant name on the order, and that is where the one-star rating goes. Our post on why the delivery app ratings drop covers how much of a rating problem is delivery rather than food.
Accepting this is useful rather than defeatist. It means you stop spending energy on the dispatch screen and put it into the parts that are yours.
What you can control
| Problem | Your lever | What to do |
|---|---|---|
| Food waits for a rider | Partial: when you mark the order ready | Do not mark ready early to look fast. Mark it when it is packed, so the search for a rider matches real readiness. |
| Rider arrives late, food cold | Yes: packaging and holding | Use containers that hold heat, vent fried items, seal gravies. Keep a hot-holding spot for packed orders rather than the open counter. |
| Wrong bag handed over | Yes: handover process | Order number on every bag in large writing. One staff member confirms the number with the rider before handing it over. |
| Items missing, refund charged to you | Yes: packing checks | A packing checklist per order and a quick photo of the sealed bag at dispatch, which also helps in disputes. |
| Prep time too long, rider waits | Yes: prep time settings | Set prep times by dish and by hour honestly. A rider who waits at your counter is a rider who marks you as slow. |
| Too many far-away orders in peak | Partial: delivery radius on the app | Reduce your serviceable radius during peaks or rain if the platform allows it, so the rider pool near you is not stretched. |
None of these fix the platform's rider shortage. All of them reduce how badly it lands on you when it happens. The packaging point alone decides whether a twenty-minute delay turns into a complaint, and food delivery packaging that keeps food hot goes into the specifics.
Protecting your rating when the rider is late
A few habits help with the part you do not control.
- Record the timeline. Note the time you marked ready and the time the rider collected. Platforms have a dispute route for ratings and refunds caused by delivery, and a timeline is what gets a case considered.
- Respond to the review. Where the app allows a reply, a short, calm note that the order left the kitchen on time and that you are sorry about the delivery tells future readers what happened without blaming anyone.
- Do not reject or cancel to avoid a bad rating. Rejections and cancellations hurt visibility more than a single delivery complaint does, and they can carry charges.
- Raise repeated problems with your account manager. If no-rider situations cluster at particular hours or in a particular area, say so with dates. Rider supply decisions are made locally, and a documented pattern is more persuasive than a complaint.
When the problem is the area or the hour
Sometimes the issue is structural. A kitchen on the edge of a city, a locality with few riders, or a menu that peaks at the same hour as everyone else's will see delivery problems every week no matter how well the kitchen runs. In those cases the options are to shrink the radius during the worst hours, pause the listing during heavy rain rather than take orders you cannot get delivered, or accept that some share of app orders will have delivery trouble and price for it.
The other option is to stop relying on the platform's fleet for the orders that do not need it. Regular customers within two or three kilometres do not need a rider matched by an algorithm; they need a reliable person on a bike, and you can provide one.
Delivering your own direct orders
For orders that come to you directly, on your own WhatsApp number or store page, you choose how they are delivered: a rider on your payroll, a per-trip service such as on-demand delivery partners, or self-pickup. You set delivery zones by distance, charge accordingly, and decide the radius you can actually serve. When something goes wrong, you can message the customer yourself, which is the single biggest difference from an app order. The hyperlocal delivery guide compares in-house and third-party riders, and own delivery versus delivery app delivery puts rupee costs on both.
This is part of why restaurants build a direct ordering channel alongside the apps: beyond the commission, it gives them control over the part of the experience that generates most complaints. One way to run it is a WhatsApp ordering platform such as Tezzu, with orders on your own number and a free store page, delivery zones with distance-based charges and free-delivery thresholds, self-pickup points, a staff app with order alerts, a flat ₹10 per order and no commission.
See delivery on your own terms
The restaurant solutions page shows how direct WhatsApp orders, delivery zones, pickup points and the staff app work together for a single kitchen.
See how it works for restaurantsFrequently asked questions
Why is no delivery partner assigned to my the delivery app order?
The platform assigns riders from those available near your restaurant at that moment, and during rain, late-evening peaks or local events the pool runs short. There is nothing in the restaurant's settings that forces an assignment. What you can do is avoid marking orders ready before they are packed, keep prep times honest, reduce your radius during the worst hours if the app allows it, and raise repeated gaps with your account manager with dates and times.
Who is responsible when a delivery app delivery is late?
Once the rider has collected the order, the delivery is the platform's responsibility, and both platforms have dispute routes for ratings and refunds caused by delivery delays. In practice the customer sees your restaurant's name and the rating often lands on you. Keep a record of when you marked the order ready and when it was collected, reply calmly to the review, and raise patterns with your account manager.
Can a restaurant choose its delivery partner on the delivery app?
No. Rider assignment, routing and batching are handled by the platform, and the restaurant cannot pick a rider, see rider availability or prevent an order from being batched. The only way to choose who delivers your food is to deliver orders that come to you directly, on your own channel, using your own rider, a per-trip delivery service or customer pickup.
How can a restaurant reduce delivery complaints on food apps?
Focus on what you control: packaging that holds heat and does not leak, an order number on every bag with a handover check, a packing checklist and a dispatch photo, honest prep times, and marking orders ready only when they are packed. For the delays you cannot control, keep a timeline, respond to reviews and document patterns. For regular customers nearby, consider delivering direct orders yourself.